may 2019 - amazon s3...6 6 executive summary (location level insights)-austin-round rock , tx-talent...

Digital & IT Talent Assessment

May 2019

22

AGENDA

US – Digital Talent Landscape Analysis

Note: DRAUP Methodology

Locational Analysis

Location Recommendations and Key findings

Location FeasibilityAnalysis

Deep Dive of 9 MSA: Overview ,Talent Dashboard and Top

Employer list

Dallas-Fort Worth-Arlington, TX

Raleigh–Durham–Chapel Hill, NC

Pittsburgh-New Castle-Weirton, PA

Philadelphia-Camden-Wilmington, PA

Boston-Cambridge, MA

Phoenix-Mesa-Scottsdale, AZ

Austin-Round Rock , TX

Charlotte-Gastonia, NC

Nashville-Davidson-Murfreesboro-Franklin, TN

Talent Pool Hotspots

Executive Summary (Aggregated findings)

Executive Summary (Location level insights)

Job Family Definition

Taxonomy

Talent Availability

US Talent Dashboards

Talent Demand

33

Methodology, Assumptions and Definitions

Please see the details below for assumptions and specifications across various components :

• Roles & Skills Filtration: Citizens Bank provided 8 Job roles (Job families in some cases) in Digital and Software engineering domains for the analysis. Required skills across the 8 job roles have been extracted from Citizens Bank Job openings, employee profiles in peer industry and also from for the DRAUP’s proprietary Job taxonomy of 1000+ Job roles mapped across 450 million employee profiles globally. The derived taxonomy is defined at a broader 8 Job families level and specific job roles which are analyzed in the study are highlighted in the Taxonomy for the purpose of this analysis. (See

slide 8-10 for the Taxonomy and key skills filtration criteria)

• Locations analyzed: 9 locations have been analyzed in detail. Location definitions are based on U.S Census Bureau Metropolitan, micropolitan, and related statistical area delineation files, September 2018.

• Demand Analysis: We have used internal DRAUP jobs portal for open position analysis, which has real time tracking of 40 million job postings on an annual basis. Portals such as Indeed and LinkedIn were also used to triangulate open positions based on job roles and skills.

• Talent Cost Analysis : We have used DRAUP platform, as well as portals such as Glassdoor, Payscale, LinkedIn , Indeed and more to analyze talent cost. Weighted Median cost has been calculated for each role by taking weighted average of median cost across the 9 job families. Talent size in each experience band has been used to calculate the weight.

• Fresh Talent analysis: Software engineering graduates have been calculated by considering university fresh graduates batch size (2018 annual graduates) for software engineering and related courses. Universities within 30 miles radius of the MSAs are also included in the analysis.

• Location Ranking Index: Optimal recommended locations have been indexed using a Location Metrics derived from attributes such as Available talent, Talent and Infrastructure Cost, Ease of hiring (Employed talent/3 months Job openings ratio), Fresh talent supply and other attributes such as commute time and cost of living (See slide 11 for the detailed criteria).

Source : DRAUP

44

Executive Summary (Aggregated findings)

DRAUP launched a systematic assessment to analyze the talent-pool characteristics for Citizens Bank for specified 8 Job

Families i.e. ADM (Application Development and Maintenance), ML, UI/UX, AWS Cloud Engineer, DevOps, Scrum Master, Big

Data (MongoDB, Cassandra and Hadoop engineer) and Testing/Test Automation . 9 locations were analyzed in this deck. To

benchmark the location feasibility we have used attributes such as Total employed talent pool and quality of the talent, Job

openings to understand competitive demand across peers, Fresh talent pool supply, cost structures and other ecosystem

attributes.

- Total talent pool of ~ 667,600 is employed across 9 locations for the 8 Job Roles.

- Boston-Cambridge (MA), Dallas-Fort Worth-Arlington (TX), Phoenix-Mesa-Scottsdale (AZ) and Austin-Round Rock (TX) were identified as mature tech talent hotspots employing more than 50,000 talent pool across the 8 roles analyzed. Availability of talent for the 8 job families was highest in Greater Boston Area i.e ~163,500 , while cities such as Dallas-Fort Worth-Arlington and Austin-Round Rock also have scaled talent presence.

- ADM, BigData and QA/Test engineers are the highest employed roles across all the 8 locations. Scrum Master, DevOps and AWS Cloud engineers are the lowest employed roles across the 8 locations

- Boston-Cambridge and Dallas-Fort Worth-Arlington have the highest supply of relevant fresh talent i.e. ~10,000 and ~7,200 annual software and computer science graduates respectively.

- Boston-Cambridge, Philadelphia-Camden-Wilmington and Charlotte-Gastonia were identified as top locations with high ease of hiring index (Employed talent / Last 3 months Job demand ratio)

- Pittsburgh-New Castle-Weirton and Nashville-Davidson-Murfreesboro-Franklin are the optimal locations with lowest talent cost across Job roles.

Source : DRAUP

55


- Dallas-Fort Worth-Arlington, TX - Talent Availability : Dallas-Fort Worth-Arlington, TX is a favorable location due to characteristics such as low cost of living and high number of fortune

500 companies. It is a recommended location across all Job Roles. It has a presence of 130,000 Directly relevant Talent Pool (8 job roles) . It has a peak availability of ADM (~34,000), QA/Testing (~33,000) and Big Data (~34,000) talent

- Peer Employers : Telecom and BFSI companies in this region (such as AT&T, Verizon, Capital One, Citi Bank ) majorly employ for ML , UI/UX , Cloud (AWS) and Big Data Talent pool. While QA/Test and ADM talent pool is immensely present with Aerospace (Lockheed Martin, American Airlines) and IT Service providers (HCL, Tech Mahindra , IBM).

- University Supply: The region has a mature university ecosystem especially for Computer Science with over ~7000 fresh graduates each year. UT Texas, Dallas and UT Texas, Arlington specialise in courses across AI/ML, Big Data Analytics etc.

- Location & Catchment area: Highly scaled employed talent among Telecom & BFSI peers . Citizens Bank’s offices are strategically placed in the key tech hubs of Dallas MSA (Central and Central-Eastern regions).

- Ease of Hiring: Dallas has a very favorable Easy of Hiring Index when compared to other MSAs analyzed in the study. A high talent pool, relatively lower Job Demand are the favorable hiring factors.

- Cost Trends: - Talent cost is favorable/optimal compared to Tier-1 MSAs such as Bay Area, NYC and Seattle i.e. ~5%-10% lower cost across roles.

Although it is expected to rise due to investment and increasing footprint by tech giants in the recent times such as Amazon and Facebook. This is expected to increase demand competitiveness for tech talent in this region.

- Infrastructure & Regulatory Cost Average Asking rent rates are favourable when compared to other MSAs in Texas state . Rent rates for offices in Austin–Round Rock MSA are 35% more expensive .

Source : DRAUP

66


- Austin-Round Rock , TX- Talent Availability : Austin-Round Rock , TX is a highly favorable location due to characteristics such as low demand, high availability of fresh software

graduates and high number of fortune 500 companies. Recent Tech expansion announcements by behemoths such as Apple and Amazon with promises of investing $1+ Billion in setting up a large-scale campus for their 2nd HQ due to the rising exodus from within the Bay Area. It is a recommended location across UI/UX (~10,000), Cloud (AWS) (~2,200) and DevOps (~2,400) job roles

- Peer Employers : Majority of the talent pool are employed across Computer Software & IT services verticals with a small presence in Automobile (General Motors) and BFSI (Charles Schwab and Visa) firms. All major Tech Giants such as Apple, Google, Amazon, Facebook have their presence in the city. IBM and Dell are the Top 2 employers across job roles such as Big Data, QA/Test, DevOps and Scrum Master. Apple is one of the top employers of ML and ADM talent in the city.

- University Supply: The region has the best university ecosystem in Texas and Central US region , especially for Computer Science with over ~8000 fresh graduates each year. UT Texas, Austin is one of the finest Universities for Computer Science within USA. It has been ranked #10 in USA for Best Computer Science Schools by US News Rankings. Specialisations in focus in the university are AI, Big Data Analytics and Theoretical Programming..

- Location & Catchment area: Highly scaled employed talent among Computer Software & IT services peers . There is no presence of any Citizens Bank technology office in or around this MSA.

- Ease of Hiring: Austin-Round Rock , TX has the 2nd most favorable Ease of Hiring Index from the 9 MSAs analyzed in this study. A moderately high Talent pool, Low Job Demand , Average Talent costs and an impending boom in the Tech ecosystem push the index highly in its favor.


Although it is expected to rise due to investment and increasing footprint by tech giants in near future (such as Apple and Amazon) . This is expected to increase Talent Migration of Tech talent from neighbouring MSAs to Austin-Round Rock , TX .

- Infrastructure & Regulatory Cost Average Asking rent rates are unfavourable in Austin-Round Rock , TX . It has the highest rate among the 9 MSAs analysed .Rent rates for an office in Austin–Round Rock MSA is 35% more expensive than an office in Dallas-Fort Worth-Arlington, TX

.

Source : DRAUP

77


- Phoenix-Mesa-Scottsdale, AZ- Talent Availability : Phoenix-Mesa-Scottsdale, AZ, is an emerging Tech Hub of the United States. It has added over 12,000 Tech related jobs in the last 5

years. Its Cost of Living Index and Business Rental cost for offices are quite affordable in comparison to Tier 1 locations like Bay Area and Seattle. It is a recommended location across Cloud (AWS) (~1,200) , Big Data (~14,500) and QA/Test (~15,000) job roles

- Peer Employers : Majority of the talent pool are employed across Banking and Financial Services (American Express & Wells Fargo) and Computer Software and Information Services (Amazon, Intel and Cognizant) . Technology companies such as GoDaddy, Benchmark, Carvana, Axon and Infusionsoft have Arizona as their headquarters, helping attract top-level talent. Intel and American Express are the key employers across all job roles. University Supply: Phoenix produces large number of (~8000) Computer Science graduates annualy. Community colleges and Polytechnic colleges are the also preferred methods of education in the state. Therefore, Arizona State University of Tempe has a Polytechnic Campus built specially to cater to their special needs.

- Location & Catchment area: The MSA has highly scaled employed talent among IT & Financial services peers . Citizens Bank has 2 offices – East Missouri near Glendale and Scottsdale, respectively . The catchment area of East Missouri is present near Financial service firm hub of American Express and USAA while catchment area of Scottsdale comprises of GoDaddy HQ and JDA Software.

- Ease of Hiring: Phoenix-Mesa-Scottsdale, AZ is the most favorable hiring destination as per Ease of Hiring Index from the 9 MSAs analyzed .- Cost Trends:

- Talent cost is favorable/optimal compared to Tier-1 MSAs such as Bay Area, NYC and Seattle i.e. ~10%-15% lower cost across roles. Although it is expected to rise due to investment and increasing footprint by tech giants in near future (such as Apple and Amazon) . This will increase Talent Migration of Tech talent from neighbouring MSAs to Austin-Round Rock , TX .

- Infrastructure & Regulatory Cost Average Asking rent rates are favourable in Phoenix-Mesa-Scottsdale, AZ. Rent rates for an office in Phoenix-Mesa-Scottsdale, AZ is over 100% cheaper than an office in an San Francisco Bay Area.

Although employed talent pool is in the moderate range compared to Dallas and Austin but favorable factors such as lower Job Demand (to other MSAs) , relatively higher Fresh Supply , Lower costs (Talent cost, Infrastructure cost and Cost of Living) and emergence of the Tech catchment areas pushes the index very much in its favor.

Source : DRAUP

88


- Boston-Cambridge, MA- Talent Availability : Boston-Cambridge, MA is a highly favorable location due to highest relevant employed talent as well as fresh supply of talent.

It is a recommended location across majority of job role ,especially for the talent comprising ML (~24,000), UI/UX (~18,000) and Big Data (~31,000) job roles- Peer Employers : Majority of the talent pool are employed across Computer Software vertical with a small presence in BFSI (Liberty Mutual, State Street

and Fidelity Investments) firms. Major Tech Giants such as Google, Amazon, Microsoft have their R&D presence in the MSA. IBM and Google are the Top 2 employers for ML and UI/UX , while e-commerce major, Wayfair and Insurance company- Liberty Mutual are Top 2 employers of Big Data Talent . IBM is the top employers of relevant talent in the city.

- University Supply: Some of the world’s greatest institutions and laboratories are right here in Boston. From a university hiring perspective, some of the highest quality fresh supply is also available here. MIT has recently invested $1 bn into its new Centre for AI & computing- MIT Schwarzman College of Computing.

- Location & Catchment area: Citizens Bank is present at the convergence of 2 separate catchment areas, which comprise of all the major Tech giants and Financial Service companies in the MSA such as Google, IBM, Microsoft, Facebook, Oracle, Fidelity Investments and Liberty Mutual

- Ease of Hiring: Boston-Cambridge, MA has a relatively low Ease of Hiring Index . This is because of high competition and demand from Tech giants like Microsoft and IBM , that have a presence of scaled Research and Development centres (because of Rich University Ecosystem)


The increasing investments by Software companies in the MSAs may further increase demand competitiveness for tech talent in this region, thereby leading to increase in Talent cost in near future.

- Infrastructure & Regulatory Cost Average Asking rent rates are unfavourable in Boston-Cambridge, MA. It has the 2nd highest rate among the 9 MSAs analysed . Rent rates for an office in Boston-Cambridge, MA is 25% more expensive than an office in Dallas-Fort Worth-Arlington, TX (similar talent pool)

Source : DRAUP

99


Raleigh–Durham–Chapel Hill, NC- Talent Availability : Raleigh-Durham has medium relevant employed talent (~58,600) as well as fresh supply of talent. Raleigh-Durham has grown by

20.7% over the last five years in total tech occupations adding over 10,000 new tech workers.It is a recommended location for the talent comprising UI/UX (~6,000) , ADM (~15,000) and DevOps (~1,700) job roles

- Peer Employers : The talent pool is well dispersed across Industries such as Software product(SAS, RedHat, Citrix), IT Services (HCL, Cognizant, IBM), Financial Services (Fidelity, MetLife). SAS and IBM are the Top 2 employers for ML, UI/UX, Big Data and QA/Test . DevOps talent is high due to presence of Red Hat HQ while High Talent Pool of Analytics is due to the residence of SAS US HQ in the city of Cary.

- University Supply: Research Triangle Park (RTP), the largest research park in the United States, is named after the 3 major research universities in those three cities i.e. Duke University (Durham), University of North Carolina (Chapel Hill) and North Carolina State University (Raleigh). They collectively add to ~3,500 Computer Science Graduates per year.

- Location & Catchment area: Citizens Bank is present at a distance from the RTP area. Though the catchment area is a hub for software companies such as RedHat, Citrix, Lexis Nexis and Pendo

- Ease of Hiring: Raleigh–Durham–Chapel Hill, NC has a moderately high Ease of Hiring Index . This is because of high competition and demand from Tech companies like IBM, Nutanix and Nvidia in RTP Area and high supply from the 3 universities.


The increasing investments by Software companies in the MSAs may result in Talent migration to RTP- Infrastructure & Regulatory Cost Average Asking rent rates are low in Raleigh–Durham–Chapel Hill, NC ,which would invite companies to set up

their R&D centres in the city.

Source : DRAUP

1010


Philadelphia-Camden-Wilmington, PA- Talent Availability : Philadelphia-Camden-Wilmington, PA has mid-scaled talent (~79,400) as well as good fresh supply of talent. Recent layoffs (or

announcement) by tech companies such as SAP can be good lateral hiring option for ML , Big Data and ADM roles. It is a preferred location for the talent pool consisting of QA/Test (~21,500) , ADM (~19,500) and Scrum Master(~1,600) job roles

- Peer Employers : The talent pool is well dispersed across Industries such as Telecom (Comcast), IT Services (Cognizant, IBM), Financial Services(Vanguard, JP Morgan and TD Bank). . Other key employers of tech talent from adjacent industries are Comcast, SAP and JP Morgan for ADM and QA/Test roles.

- University Supply: University of Pennsylvania, an Ivy League University is the highest ranked institution for Computer Science in the MSA. The universities collectively add to ~5,000 Computer Science Graduates per year.

- Location & Catchment area: Both of Citizens Bank offices are present close to each other in Central Philadelphia. This catchment area is a hub for finance & telecom companies such as Capital One, JP Morgan Chase and Comcast.

- Ease of Hiring: Philadelphia-Camden-Wilmington, PA has a low Ease of Hiring Index . This is because of relatively higher demand of tech Talent in different industries compared to the other MSAs

- Cost Trends: - Talent cost is favorable/optimal compared to Tier-1 MSAs such as Bay Area,Seattle i.e. ~15-20% lower cost across roles.- Infrastructure & Regulatory Cost Average Asking rent rates are low in Philadelphia-Camden-Wilmington, PA ,which would invite companies to set

up their R&D centres in the city. There is an upcoming Amazon campus (2nd HQ after Seattle) in the area because of reasons listed as high quality of life, low cost of living and affordability as the top attraction factors. There is 30% lower housing cost (rental cost) in Philadelphia compared to Bay area

Source : DRAUP

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- Talent Availability : Nashville-Davidson-Murfreesboro-Franklin, TN has low available talent (~22,300) as well as low demand of talent (~1,300 in last 3 months). Amazon has announced setting up of its Operations CoE with 5,000 employees in Nashville Yards.

- Peer Employers : The talent pool is distributed across IT Software /Services (Asurion, Digital Reasoning, Cisco ), Healthcare (HCA). Other key employers of tech talent are Cisco and Fidelity Investments for Cloud (AWS) roles.

- University Supply: The universities collectively add to ~2,500 Computer Science Graduates per year. - Location & Catchment area: Both of Citizens Bank offices are present in the center of Nashville-Davidson-Murfreesboro-Franklin, TN MSA

Both the offices are nearly equidistant from the largest catchment hub of the region which consists of companies like Amazon, Cognizant, HCA IT&S- Ease of Hiring: Nashville-Davidson-Murfreesboro-Franklin has a low Ease of Hiring Index . This is because of the very limited talent pool which is small

scaled and relatively high job openings.- Cost Trends:

- Talent cost is very favorable/optimal compared to Tier-2 MSAs such as Dallas, Boston i.e. ~15-20% lower cost across roles- Infrastructure & Regulatory Cost Average Asking rent rates are relatively low in Nashville-Davidson-Murfreesboro-Franklin, TN ,which would invite

companies to set up their R&D centres in the city.

Source : DRAUP

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- Talent Availability : Charlotte-Gastonia, NC has a low available talent pool (~37,000) as well as demand of talent (~3050). It is a BFSI hub due to HQ of many banks such as Bank of America and Wells Fargo (East Coast Division). Available tech talent is mid-scaled compared to Dallas and Boston Metro areas but its still an emerging tech locations due to Tech talent growth. Recommended for Big Data and ADM engineers even though numbers are slightly lesser compared to peers as these employees have already working in the same industry (BFSI). Amazon has promised $200mn capital investment for its new distribution center in Charlotte which would eventually lead to creation of 1,500 jobs.

- Peer Employers : Major talent pool is distributed across employers in the BFSI industry such as Bank of America, Wells Fargo, TIAA and AIG. Wells Fargo and Bank of America are the Top 2 employers across each of the 8 job roles.

- University Supply: The universities collectively add to ~4,000 Computer Science Graduates per year. - Location & Catchment area: Both of Citizens Bank offices are present in the center of Charlotte-Gastonia, NC MSA. Citizens Bank at W Trade Street is

present in the same catchment ground as Bank of America and Wells Fargo- Ease of Hiring: Charlotte-Gastonia, NC has the least Ease of Hiring Index among the 9 MSAs. This is because of limited talent pool and a higher

comparative job demand number. - Cost Trends:

- Talent cost is favorable/optimal compared to Tier-2 MSAs such as Dallas, Boston i.e. ~10-15% lower cost across roles- Infrastructure & Regulatory Cost Average Asking rent rates are moderate in Charlotte-Gastonia, NC

Source : DRAUP

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- Talent Availability : Pittsburgh-New Castle-Weirton, PA has a low available talent pool (~34,400) as well as demand of talent (~2,050). Available tech talent is mid-scaled compared to Dallas and Boston Metro areas but its still an emerging tech locations due to Tech talent growth in AI /ML. Amazon has a small centre in Pittsburgh focussed on ML and Alexa voice Technology.

- Peer Employers : Major talent pool is distributed across employers between Computer Software/Internet (Google ,Uber, Apple, Facebook,Microsoft) and BFSI (BNY Mellon and PNC) Industries. Google and Uber are the Top 2 employers across each of the 8 job roles.

- University Supply: The universities collectively add to ~6,500 Computer Science Graduates per year. Almost all major Tech giants are present in the vicinity of Carnegie Mellon University, which has consistently been ranked #1 as the Best Computer Science program in the USA for over 10 years in a row (US News Rankings)

- Location & Catchment area: Both of Citizens Bank offices are present in the center of Pittsburgh-New Castle-Weirton, PA, which is also the biggest hub of Tech talent in the region with companies ranging from Google to Amazon.

- Ease of Hiring: Pittsburgh-New Castle-Weirton, PA, has a moderate Ease of Hiring Index among the 9 MSAs. - Cost Trends:

- Talent cost is a highly favorable/optimal when compared to Tier-2 MSAs such as Dallas, Boston i.e. ~15-20% lower cost across roles- Infrastructure & Regulatory Cost Average Asking rent rates are the lowest among 9 MSAs in Pittsburgh-New Castle-Weirton, PA

Source : DRAUP

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Taxonomy: DRAUP conducted a comprehensive analysis of ~100,000+ profiles to structure Job roles into Job Families. Over 50 Job Roles were identified and clustered into 8 Unique Job Families basis Job Descriptions and Skills Analysis

Note : DRAUP’s proprietary talent module was used to analyse jobs by job roles and skill type1 Highlighted roles have been considered in the study as per present Citizens Bank roles

Machine Learning

Data Scientist ML Engineer

Quantitative Analyst

Decision Science Analyst

Computer Vision Algorithm Engineer

Data Science Risk Analyst

AppliedStatistician

NLPEngineer

User Interface / User

Experience

Graphic Designer

IA Designer

Visual ContentDesigner

UI/UX Developer

Interaction Designer

Human Interface Design

UX Architect / Product specialist

UX Researcher/Usability Researcher

Cloud

AWS Cloud Support Engineer

AWS Infrastructure Engineer

Oracle CloudEngineer

Google Cloud Platform

IBM Watson Cloud Engineer

Cloud Solutions Engineer -Google

Azure Support Engineer

Software Engineer-Azure

Big Data

Big Data/Hadoop Engineer

Hadoop/Spark Developer

PostgreSQLSpecialist

MongoDB DBA

No-SQl/Cassandra Engineer

Full Stack Java Developer-Mongo

Database engineer / Storage engineer

SQL Developer

QA / Test

QA Manual Test Engineer

Test Automation Engineer

QA Test AnalystQA Automation/

Selenium Engineer

Test Software Engineer

Mobile Tester

Validation EngineerETL Tester (Backend)

DevOps

DevOps EngineerCloud Security

DevOps Engineer

Build/Release Engineer

Build/Virtualization Engineer

UNIX Engineer/Admin

Systems Engineer

Full-Stack Developer

SRE Developer

ADM

Applications Developer

Application Maintenance Engg.

Application Support Analyst

ADM Engineer

Front End / Web Developer

Mobile Banking Product specialist

Full-stack Application Dev.

ios Developer

Agile Transformation

(Project / Program Lead)

Scrum master Agile Coach

Digital Product Owner

Enterprise Architect

Process Improve-ment Specialist

Product Manager

IT Project/Program Manager

Delivery Lead

DigitalTraditional IT

Focus Roles analysed later in study1

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Job Family Description

List of 8 unique job families and definitions extracted from sample profiles (1/3)


• Develop robust and scalable Machine Learning models, deploy and integrate them into exiting business workflow

• Develop predictive models, transform features, and build & optimize classifiers usingML techniques

• Design, build, and test data ingestion pipelines, and build ML models to producereports and visualizations with actionable insights

• Create automated systems for anomaly detection, evaluation environment ofcomplex models and constant tracking of relevant performance

• Create user-facing designs, wireframes and mockups outlining content placementafter gathering requirements from several sources using design thinking, servedesign and other methods

• Design technical infrastructure for applications• Develop quick prototypes to test design concepts, and develop production ready

commercial user interfaces with a focus on overall user experience, quality, workprocess efficiency, optimal usability and the introduction of new functionality

• Partner with business analysts and product managers to translate business and userrequirements into successful UX design solutions throughout the product lifecycle

Technical Skills

• Machine Learning, Deep Learning,NLP, Neural Networks, Big Data,Data Science

• Python, Java, C++, R, SQL, C, Linux• Tensoflow, Caffe, Scikit, Pytorch,

Spark, Hadoop, Keras, Scala,MXNet, Pandas, H2O, GCP, KNIME,RapaidMiner, Mahout, Lisp

• UX Design, Visual Design, GraphicDesign, Responsive Design, ProductDesign, Web Design, HeuristicEvaluation, A/B & Usability Testing

• Wireframes, Prototyping, Bootstrap, Topography, Mockups

• HTML, CSS, javascript, Jquery,Creative suit, Sketch, Photoshop,Dreamweaver, Illustrator

• AWS, GCP, Azure, Chef, Puppet,Ansible, Spring, Hibernate, SpringBoot, GIT, Jenkins, Gradle, Docker,Kubernetes, MongoDB, gRPC,HTML5, CSS3, JavaScript, extJS,Angular, React, NodeJS Play/Akka,Typescript, Java, J2EE-Mulesoft,Apache Camel, Talend

Machine

Learning

User

Interface /

User

Experience

Cloud

(AWS)

Certifications

• AWS Certified Machine Learning – Specialty

• Certified Analytics Professional (CAP)

• Data Science Council of America (DASCA)

• SAS Certified Advanced Analytics Professional

• UX Master Certification-Nielsen Norman Group

• CUA/CXA

• AWS Certified Developer• AWS Certified Solutions

Architect

• Design, build, implement, and manage hybrid AWS on-prem commodity-based cloud/distributive-computing infrastructure; architect and administrate cloud hardware and software stack to include frequent reconfigurations and facilitate effective processes associate with the architecture

• Improve the performance of cloud applications and cloud infrastructure deployed on AWS and ensure maximum leverage & availability of cloud capability to users

• Ensure interoperability of in-house capability with outside partners• Plan & implement cutting-edge big data algorithms & analytics, big data transfer

protocols, utilities, and infrastructure pipes

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Big Data



• Design, develop, deliver and implement solutions for large scale data and monitorcomplex databases

• Design, develop and test enterprise data hub, and reporting and analytic applicationsby creating new platforms based on MongoDB, Cassandra & Hadoop

• Facilitate sourcing data from a variety of different sources (internal and external) andprepare it for analytic consumption

• Work on large data sets and build programs that leverage MPP Data warehouseplatforms

CertificationsTechnical Skills

• MongoDB , Cassandra, Node.js,Database scaling, DBA, NOSQL,Scala, Hbase, Redis, JSON, BSON,Spark, SQL, Hive, Storm, Hadoop,Linux, Javascript, RDBMS

• SAS Certified Big Data Professional

• MCSE• MongoDB Certified

Developer

QA / Test • Assess software for bugs and other issues by executing test cases• Create testing methodologies, as well as cases to initiate the early stages of product

testing and ensure the quality of the product/process by developing and deployingexploratory and automated testing systems when required

• Prepare and execute testing of new or modified applications/ systems across multiplecomputing environments (host-based, distributed systems, client server, etc)

• Analyze & develop new or revised QA procedures, test plans and test scripts

• SoapUI, Selenium, Jira, JCL, JUnit,JMeter, Postman, Bugzini, TestRail,QC, RestClient, Quest, TCZilla,Spira, Testsigma, Appium,TestCraft, Micro Focus UFT, MicroFocus QC, Cucumber, Eggplant, TestStudio, SQL, MySQL, OracleDB

• ISEB, ISTQB, BCS

DevOps • Work with developers and the IT staff to oversee the code releases, building pipelinesand automation for delivering and deploying services from dev to prod

• Build tools and infrastructure focused on system level availability, agility, transparencyand scalability and manage a large scale infrastructure in a public cloud provider

• Develop automated CI/ CD pipelines along with orchestrating workloads acrossmultiple cloud providers

• Scale systems sustainably through concepts like automation and IaC, and utilizemethodologies such as Continuous Integration, Continuous Delivery and AcceptanceTest Driven Development

• Terraform, Ansible, Chef, Puppet,Salt, Kubernets, Docker, Jenkins,Bitbucket, GitLab, Bamboo,CircleCI, CI/CD, Artifactory, Jira,kanban, containers, Nagios, NginX

• CASM, DTE, DOL, DSOE, CDA, CAPO

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ADM



• Design, development, delivery and support of large-scale, multi-tiered, distributed software applications and tools.

• Develop a Desktop application mainly in C++, python and java-script (QT)• Unlock the enterprise platforms through development lifecycle modernisation• Defined and constructed layers, server-side objects and client-side interfaces based

on J2EE design patterns, Development of middle tier in Java EE, and Spring framework with Microservices in Java EE, using Spring Boot.

• Designed Prototype and project layout skeletons using ReactJS, JQuery and CSS/LESS and HTML5.

CertificationsTechnical Skills

• Dot Net, Mainframe-(COBOL,CICS,JCL) , Java, C++,Unix,Node.js, JavaScript, Git, Python,J2EE , Databases (DB2,Oracle)

• Automation Frameworks, AgileMethodologies, SoftwareDevelopment Lifecycle, BI &Performance Management

• Android Certified Application developer

• MCSD: Windows Store Apps

• Salesforce Certified Platform App Builder

Agile

Transformation

• Guide the team on leveraging Release-when-Ready, Test-driven Development, Continuous Integration, Product Demonstration and other technical engineering practices

• Facilitate seamless collaboration & effective cross-functional communication, drive continuous improvement across multiple technical and/or non-technical teams and ensure timely delivery of product/service

• Support product owners and product managers, especially with respect to refining and managing the product backlog and decision making

• Performs risk, issue, and dependency management for the team• Coach the team about agile scrum framework, manage delivery and develop sprint

plans

• Agile Methodologies, LeanMethodologies, Scrum, KanbanMethodologies, SDLC Framework

• Scrum Alliance/ Scrum.org Certified Scrum Master

• SAFe Scaled Agilists• PMI ACP

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Talent Pool Hotspots: DRAUP has analysed the employed tech talent pool across 100 MSAs in US; Deep Dive assessment of 9 MSAs was further conducted

US IT Talent Pool (Analysis of 8 shortlisted Roles)

Note : DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type

• Cloud (AWS)• Big Data

Chicago-Joliet-Naperville, IL

• ML• UI/UX• Cloud (AWS)• Big Data



• ML• Cloud (AWS)• Big Data

• ML



Low Talent Count





Legend

Other Locations with mid scale talent pool

Major MSAs

Note : *Representing MSAs which have employed talent pool greater than the range mentioned : ML (>5000), UI/UX (>7000), Cloud (AWS) (>1000), Big Data (>9000), QA/Test (>12000), DevOps (>1500), ADM (>15000), Scrum Master(>1500)


• Cloud (AWS)• Big Data

Greater Minneapolis Area


Seattle–Tacoma–Bellevue, WA

Houston, Texas Area

Greater Detroit Area

Miami

Columbus, OH Area

Milwaukee

Kansas City Area

St. Louis Area

Baltimore, MA Area

Las Vegas Area

Orlando

Sacramento

Indianapolis

Portland

Deep Dive analysis is conducted in follow up slides

Los Angeles


• Big Data


San Francisco-Oakland-Berkeley, CA

• QA/Test• DevOps• ADM• Scrum Master


• QA/Test• DevOps

New York-Newark-Jersey City, NY-NJ-PA



• QA/Test

Dallas-Fort Worth-Arlington , TX



San Diego

DC

Tampa


• QA/Test• DevOps

• QA/Test• ADM• Scrum Master


Salt Lake City

1919

Talent Availability Dashboard :Dallas, Boston and Austin are mature locations; Charlotte, Nashville and

Pittsburgh are emerging locations

RolesDallas-

Fort Worth-Arlington, TX


Pittsburgh-New Castle-Weirton,

PA

Philadelphia-Camden-

Wilmington, PA

Boston-Cambridge,

MA




Nashville-Davidson-

Murfreesboro-Franklin, TN

ML ~ 13,000 ~ 6,500 ~ 5,500 ~ 7,500 ~ 24,000 ~ 4,800 ~ 8,100 ~ 3,300 ~ 1,700

UI/UX ~ 12,000 ~ 6,000 ~ 3,200 ~ 7,500 ~ 18,000 ~ 5,000 ~ 10,000 ~ 3,300 ~ 2,100

Cloud (AWS) ~ 4,000 ~ 1,200 ~ 600 ~ 1,800 ~ 4,000 ~ 1,200 ~ 2,200 ~ 750 ~ 500

Big Data ~ 33,500 ~ 13,000 ~ 7,000 ~ 18,500 ~ 31,000 ~ 14,500 ~ 16,500 ~ 9,000 ~ 6,200

QA/Test ~ 33,000 ~ 14,000 ~ 8,000 ~ 21,500 ~ 40,000 ~ 15,000 ~ 16,000 ~ 9,000 ~ 5,000

DevOps ~ 3,200 ~ 1,700 ~ 500 ~ 1,500 ~ 4,300 ~ 1,200 ~ 2,400 ~ 650 ~ 300

ADM ~ 34,000 ~ 15,000 ~ 9,000 ~ 19,500 ~ 39,000 ~ 15,000 ~ 21,000 ~ 10,000 ~ 6,000

Scrum Master ~ 3,500 ~ 1,200 ~ 600 ~ 1,600 ~ 3,200 ~ 1,300 ~ 2,000 ~ 950 ~ 500

TOTAL 136,200 ~ 58,600 ~ 34,400 79,400 ~ 163,500 ~ 58,000 78,200 37,000 ~ 22,300

Fresh Talent ~ 7,000 ~ 3,500 ~ 6,500 ~ 5,000 ~ 12,000 ~ 8,000 ~ 8,000 ~4,000 ~ 2,500

Source: DRAUP Talent Modeler

High Medium Low

Talent Pool Scale (Colour coding benchmarks are relative within a Job Role and rating scale varies for each Job role individually)

2020

Talent Demand Dashboard: Dallas and Boston have talent demand (3 months Job openings) across the Job

roles; Phoenix, Nashville, Charlotte and Pittsburgh have low demand

RolesDallas-

Fort Worth-Arlington, TX


Pittsburgh-New Castle-Weirton,

PA

Philadelphia-Camden-

Wilmington, PA

Boston-Cambridge,

MA




Nashville-Davidson-

Murfreesboro-Franklin, TN

ML ~ 750 ~ 350 ~ 250 ~600 ~ 1,200 ~ 300 ~ 350 ~ 300 ~ 150

UI/UX ~ 650 ~ 250 ~ 200 ~ 650 ~ 1,000 ~ 200 ~ 450 ~ 200 ~ 100

Cloud (AWS) ~ 600 ~ 250 ~ 200 ~ 450 ~ 850 ~ 300 ~ 300 ~ 200 ~ 150

Big Data ~ 1,100 ~ 650 ~ 400 ~ 800 ~ 2,100 ~ 450 ~ 600 ~ 400 ~ 200

QA/Test ~ 1,200 ~ 600 ~ 350 ~ 750 ~ 1,500 ~ 550 ~ 700 ~ 800 ~ 175

DevOps ~ 700 ~ 350 ~ 150 ~ 350 ~ 800 ~ 200 ~ 350 ~ 200 ~ 100

ADM ~ 1,700 ~ 800 ~ 400 ~ 850 ~ 2,000 ~ 600 ~ 800 ~ 750 ~ 350

Scrum Master ~ 550 ~ 200 ~ 100 ~ 350 ~ 550 ~ 150 ~ 250 ~ 200 ~ 75

TOTAL ~ 7,250 ~ 3,450 ~ 2,050 ~ 4,800 ~ 10,000 ~ 2,750 ~ 3,800 ~ 3,050 ~ 1,300

Source: DRAUP Talent Modeler

High Medium Low

Talent Pool Scale (Colour coding benchmarks are relative within a Job Role and rating scale varies for each Job role individually)

2121

Parameters Weightage Description

Talent Availability 30%• No.of installed talent pool in the given roles.• Higher the number of relevant talent pool for 8 roles, higher the favorability

Ease of Hiring 30%• Ratio of available talent to no. of job openings (available talent supply -demand ratio) for the given roles• It is derived from Total employed Talent pool / Total number of job openings in last 3 months (Demand)• High Talent/Demand ratio is considered as a favorable factor

Fresh Talent Supply 20%• No.of graduates with software and computer science background• Higher the fresh graduates with relevant degree, higher the favorability of location

Median Talent Cost 10%• Median salary cost for the given 8 roles• Low talent cost is considered as a positive factor and hence the low-cost locations have been ranked higher

Infrastructure Cost 5%• Commercial real estate cost• Lower the cost, higher the favorability

Location Characteristics 5%• Its is a factor of two attributes i.e Cost of living index, (relative to NY average) and average commute time (one way) • Lower the Cost of Living Index & Average Commute Time , higher the favorability

Location Analysis: Parameters and Weightage for Analysis

2222

Location Analysis: Dallas-Fort Worth-Arlington and Austin-Round Rock are the top ranked locations, considering favourable parameters such as Talent Availability and Ease of Hiring

Favourable Medium Favourable UnfavourableNote : DRAUP’s proprietary talent module

Note : The final score calculations are relative scoring between 9 locations. The scale is adjusted to indicate spread between the lowest ranked and highest ranked locations

Location RankTalent Availability

(30%)

Ease of Hiring

(30%)

Fresh Supply

(20%)

Median Talent Cost

(10%)Infra. Cost

(5%)

Location

Characteristics

(5%)

Dallas-Fort Worth-Arlington, TX 1 High High High High Medium Low

Austin-Round Rock , TX 2 High High High Medium High Low

Boston-Cambridge, MA 3 High Low High High High High

Phoenix-Mesa-Scottsdale, AZ 4 Medium High High Medium Medium Low

Raleigh–Durham–Chapel Hill, NC 5 Medium Medium Low Medium Medium Medium

Philadelphia-Camden-Wilmington, PA 6 High Low Medium Medium Medium High

Pittsburgh-New Castle-Weirton, PA 7 Low Medium Medium Low Low Medium

Nashville-Davidson-Murfreesboro-Franklin, TN 8 Low Medium Low Low Medium Medium

Charlotte-Gastonia, NC 9 Low Low Low Medium Medium Medium

Note: The locations are rated on a scale of 0-10. Each attribute has a rating band i.e. High, Medium or Low . Scale for each Band has a specific range. For instance, Talent availability has a maximum score range of 30%, but 2 location which are rated “High” for talent availability might not have the same maximum score of 30% and thus may have different rankings.

2323

R̀ecommended Locations : Boston, Dallas, Phoenix and Austin were identified as the top preferred locations

Ease of Hiring Index: Total number of job openings in last 3 months (Demand)/Total employed talent pool available (Supply). Higher value is favourable for locations

Bubble Size indicates fresh Software Talent Supply (From

Universities)

Location Feasibility Analysis (Available talent vs Ease of Hiring Index)

Optimal LocationsRecommended LocationsRecommended Locations

• Boston, Dallas, Austin, Raleigh and Phoenix were identified as top preferred locations.

• These MSAs have large scale available talent above a thresh-hold value and high ease of hiring index relative to other locations.

• Boston, Dallas, Austin and Phoenix also have mature university ecosystem and high fresh software graduates supply

Boston Metro Area

Phoenix Metro Area

Nashville Metro Area

Raleigh Metro Area

Pittsburgh Metro Area

Dallas Metro Area

Austin Metro AreaPhiladelphia Metro Area

Charlotte Metro Area

10000

30000

50000

70000

90000

110000

130000

150000

170000

8.5 10.5 12.5 14.5 16.5 18.5 20.5 22.5

Emp

loye

d T

ale

nt

Ease of Hiring Index

2424

Dallas-Fort Worth-Arlington, TX

2525

Talent Hotspots- Dallas-Fort Worth-Arlington, TX: Favorable location due to characteristics such as low cost of living and high number of fortune 500 companies; Citizens Bank’s offices strategically placed close to key tech hubs

Employer Hotspots

ClusterNo. of

Companies*Companies

A 5Oracle, CA

Technologies, Alkami , Tech Mahindra, HCL

B 7Microsoft, IBM, Cisco

Systems, Epsilon, Veritis, Check Point

C 3Beck Technology,ThoughtWorks,

Deloitte

D 1 Facebook

Enterprise Hotspots in Dallas

B

Index

A 75024, 75034, 75093 C 75201

B 75019, 75038, 7503975202- Citizen Bank75039- Citizen Bank

D 76177

University Ecosystem

Talent Supply( Graduates in Relevant Disciplines)

~ 7,000

Top Universities

Recent announcements by Tech Giants

• Facebook has recently opened its first NorthTexas hyper-scaler facility opened in FortWorth in 2017 and has invested over $1billion on the project

• The University of Texas at Arlington• The University of Texas at Dallas• University of North Texas

• Amazon to choose Fort Worth's AllianceAirport for regional air hub to bolster itsshipping business

A

Location Attributes

Avg. Asking Rent $ 27.14 per sf/year

Cost of Living Index 66.98

Avg. Commute Time 27 minutes

C

D

Note: * The no. of companies is only indicative & not exhaustiveNote: DRAUP’s Talent Module was used to analyse employer hotspots and universities in the MSA and nearby locations to identify top universities & digital courses

2626

MSA level Dashboard- Dallas-Fort Worth-Arlington, TX: QA/Test and ADM talent pool is immensely present with Aerospace (Lockheed Martin, American Airlines), Telecom and IT Service providers (HCL, Tech Mahindra , IBM)

JOB FAMILIES TALENT EXPERIENCE SPLITDEMAND

( past 3 months)MEDIAN COST TOP EMPLOYERS

ML ~13,000 ~750 $105,000

UI/UX ~12,000 ~650 $90,000

Cloud (AWS)

~4,000 ~600 $120,000

Big Data ~33,500 ~1,100 $88,000

QA/Test ~33,000 ~1,200 $88,000

DevOps ~3,200 ~700 $110,000

ADM ~34,000 ~1,700 $83,500

Scrum Master

~3,500 ~550 $109,000

Total Talent ~136,200

Total Demand ~7,250

Weighted Median Cost~$ 90,700

38% 23% 39%Entry Middle Senior








• AT&T • Verizon• IBM

• Capital One• Microsoft• American Airlines

• AT&T • Verizon • Capital One

• Citi• American Airlines• USAA

• Verizon• Capital One • Cognizant

• AT&T• Citi • Sabre

• AT&T• Verizon • IBM

• Citi • Capital One• Microsoft

• Lockheed Martin • AT&T• Verizon

• American Airlines• Infosys • Cognizant

• Verizon• AT&T• American Airlines

• Capital One• Citi • Infosys

• Texas Instruments• AT&T • Verizon

• American Airlines• Cognizant • Citi

• AT&T • Cognizant• Verizon

• ISN• Microsoft• IBM

Source: DRAUP Talent ModelerNote: Top employers are not ranked in a specific order. These employers have large scale talent count above a threshold value for each Job role

2727


2828

Talent Hotspots- Raleigh–Durham–Chapel Hill, NC: Relevant talent pool is available due to the presence of Research Triangle Park; fresh talent supply from universities is low

Employer Hotspots

ClusterNo. of

Companies*Companies

A 5RedHat, Citrix, Lexis

Nexis, Pendo, Fidelity Investments

B 4IBM, NetApp, Nutanix,

NVDIA

C 3MetLife, Epic Games, Riverbed Technology

D 1 Cisco

Location Attributes

Avg. Asking Rent1 $ 25.12 per sf/year

Cost of Living2 72.7

Avg. Commute Time3 24.1 minutes

Enterprise Hotspots in Nashville

Index

A27601, 27603, 27606, 27612

C 27513, 27518

B 27701, 27703, 27713 D 27560

27615- Citizens Bank



~ 3,500

Top Universities

Recent investments by Tech Giants

• North Carolina State University• Duke University• University of North Carolina

AC

B

D

• IBM is acquiring RedHat for $34 bn to usethe latter’s Cloud-computing capabilities

• Metlife is expanding its Technology campusin Cary to start a Global Innovation Centrewith focus on digital technology in insuranceindustry


2929

MSA level Dashboard- Raleigh–Durham–Chapel Hill, NC: The talent pool is well dispersed across Industries such as Software, IT Services and Financial Services



ML ~ 6,500 ~ 350 $ 100,000

UI/UX ~ 6,000 ~ 250 $ 80,000

Cloud (AWS)

~ 1,200 ~ 250 $ 114,000

Big Data ~ 13,000 ~ 650 $ 84,000

QA/Test ~14,000 ~ 600 $ 85,000

DevOps ~1,700 ~ 350 $ 102,000

ADM ~15,000 ~ 800 $ 77,000

Scrum Master

~1,200 ~ 200 $ 90,000

Total Talent ~ 58,600

Total Demand~ 3,450

Weighted Median Cost~ $ 85,000

37% 22% 42%

Entry Middle Senior

25% 29% 46%

Entry Middle Senior

20% 35% 45%

Entry Middle Senior

23% 31% 46%

Entry Middle Senior

22% 30% 48%

Entry Middle Senior

24% 32% 44%

Entry Middle Senior

20% 33% 47%

Entry Middle Senior

25% 29% 46%

Entry Middle Senior

• SAS• IBM• RedHat

• Cisco• Fidelity Investments• SAS

• NetApp• IBM• AWS

• Citrix• NVDIA• BB&T

• IBM• SAS• RedHat

• Pendo.io• Epic Games• NetApp

• IBM• SAS• Cisco

• Nutanix• Citrix• Credit Suisse

• SAS• IBM• MetLife

• Qualcomm• NetApp• RedHat

• RedHat• NetApp• Cognizant

• IBM• SAS• Lexis Nexis

• IBM• Fidelity Investments• Lexis Nexis

• Citrix• Qualcomm• Pendo.io

• IBM• Cognizant• HCL

• Epic Games• SAS• Cisco


3030


3131

Talent Hotspots- Pittsburgh-New Castle-Weirton, PA: Available tech talent is mid-scaled compared to Dallas and Boston Metro areas but its still an emerging tech location due to Tech talent growth in AI /ML

Employer Hotspots

ClusterNo. of

Companies*Companies

A 6Google, Argo AI,

Amazon, BNY Mellon, PNC, Uber

B 1 Cognizant

C 1 ANSYS

Location Attributes





Index

A15201, 15203, 15206, 15212, 15219, 15222

C 15317

B 1530115219, 15228- Citizens Bank



~ 6,500

Top Universities


A

C

B

• Carnegie Mellon University• University of Pittsburgh• Duquesne University

• Pittsburgh has a booming venture capitalenvironment for AI-related start-ups

• Argo AI received $1 bn commitment fromFord to work on autonomous vehicles

• Petuum & Duolingo are prominent AI startups that have been heavily funded recently($93 mn & $ 25mn, respectively)

• Amazon has a small centre in Pittsburghfocussed on ML & Alexa voice technology


3232

MSA level Dashboard- Pittsburgh-New Castle-Weirton, PA: Major talent pool is distributed across employers between Computer Software/Internet and BFSI industries



ML ~ 5,500 ~ 250 $ 96,000

UI/UX ~ 3,200 ~ 200 $ 78,000

Cloud (AWS)

~ 600 ~ 200 $ 103,000

Big Data ~ 7,000 ~ 400 $ 80,000

QA/Test ~8,000 ~ 350 $ 80,000

DevOps ~500 ~ 150 $ 96,000

ADM ~9,000 ~ 400 $ 70,000

Scrum Master

~600 ~ 100 $ 99,000

• Google• Uber• Aptiv

• Facebook• Apple• Argo AI

• PNC• Amazon• Leidos

• Microsoft• Thermo Fisher Scientific • Bayer

• Google• Uber• PNC

• Eaton• UPMC• Philips

• ANSYS• PPG Industries• TeleTracking

• Google• BNY Mellon• Uber

• PNC• ANSYS• UPMC

• PNC• Uber• ANSYS

• Google• Cognizant• PNC

• IBM• Uber• TCS

• Google• BNY Mellon• PNC

• Uber• Tele Tracking• ANSYS

• PNC• Google• Uber

• Verizon• IBM• BNY Mellon

45% 24% 31%

Entry Middle Senior

33% 25% 42%

Entry Middle Senior

25% 31% 44%

Entry Middle Senior

20% 28% 52%

Entry Middle Senior

33% 25% 42%

Entry Middle Senior

20% 30% 50%

Entry Middle Senior

22% 33% 44%

Entry Middle Senior

33% 25% 42%

Entry Middle Senior


Total Demand~ 2,050



3333


3434

Talent Hotspots- Philadelphia-Camden-Wilmington, PA: It is a recommended location for low talent demand .Recent layoffs (or announcement) by tech companies such as SAP can be good lateral hiring option for ML , Big Data and ADM roles

Employer Hotspots

ClusterNo. of

Companies*Companies

A 3

Vanguard HQ,Cognizant, Cerner

Corporation

B 1 SAP US HQ

C 3Comcast, JP Morgan,

Capital One

D 1 IBM

Enterprise Hotspots in Philadelphia-Camden-Wilmington, PA

Index

A 19355 C 19103

B 1907319103 Citizen Bank19106 Citizen Bank



~ 5,500

Top Universities

Investments by Tech Giants

• JPMorgan Chase announces majorexpansion in Philadelphia as they plan toopen 50 new branches and hire up to 300new employees in Philadelphia

• University of Pennsylvania• Temple University• Drexel University

• Elliott Management Corp. has invested $1.3Billion in SAP US , post the recent lay-off of4,400 employees (includes exit of keyexecutives)

Location Attributes



Avg. Commute Time 28.7 minutes

B

A

C

D


3535

MSA level Dashboard- Philadelphia-Camden-Wilmington, PA: Talent pool is well dispersed across industries such as Telecom, IT Services and Financial Services



ML ~7,500 ~600 $103,000

UI/UX ~7,500 ~650 $84,000

Cloud (AWS)

~1,800 ~450 $110,000

Big Data ~18,500 ~900 $89,000

QA/Test ~21,500 ~750 $86,000

DevOps ~1,500 ~450 $106,000

ADM ~19,500 ~1050 $77,000

Scrum Master

~1,600 ~350 $106,000

Total Demand ~5,200



• Comcast• Vanguard• JPMorgan Chase

• SAP • IQVIA• IBM

• Comcast• Vanguard• Lockheed Martin

• JPMorgan Chase• Cerner Corp.• SAP

• Comcast• Vanguard • Capital One

• Cognizant • SunGard Availability

Services

• Comcast• Vanguard• JPMorgan Chase

• SAP • TD • Cognizant

• Comcast • Merck • Vanguard

• JPMorgan Chase • GSK • Cognizant

• Comcast • Vanguard • Lockheed Martin

• JPMorgan Chase• Infosys• Cognizant

• Comcast • Vanguard• JPMorgan Chase

• SAP• Cognizant • Capital One

• Comcast• Cognizant• JPMorgan Chase

• Vanguard• Verizon• Amazon










3636


3737

Talent Hotspots- Boston-Cambridge, MA: Highly favorable location due to highest relevant employed talent as well as fresh supply of talent. It is a recommended location across every job role ,especially for the talent comprising ML, UI/UX, and Big Data

Employer Hotspots

ClusterNo. of

Companies*Companies

A 9

Google, IBM, Microsoft, Facebook,

Oracle, Fidelity Investments, Akamai

Technologies, Salesforce,

Pegasystems

B 2 MathWorks, Staples

C 2 Dell EMC, Cognizant

D 1 State Street

E 1 Liberty Mutual

Location Attributes


Cost of Living 86.82



Index

A 02139, 02142 C 01746, 01748

B 01760 D 02171

E 02116 02109- Citizens Bank



~ 12,000

Top Universities

Recent Technology Announcements

• MIT is investing $1 bn into a new Centre forAI & computing- MIT Schwarzman College ofComputing

• Google is eexpanding office space andemployment to the tune of thousands ofjobs over the next decade in Boston

• MIT• Harvard University• Boston University• North-Eastern University

• Cambridge Mobile Telematics (CMT), a spinout of MIT’s CS & AI lab received $500 mnfunding from SoftBank


A

B

C

D

E

• Worcester Polytechnic Institute

• Tufts University• Franklin W.Olin College

of Engineering

3838

MSA level Dashboard- Boston-Cambridge, MA: Majority of the talent pool are employed across Computer Software vertical with a small presence in BFSI firms



ML ~24,000 ~ 1,500 $ 110,000

UI/UX ~18,000 ~ 1,100 $ 89,000

Cloud (AWS)

~4,000 ~ 850 $ 125,000

Big Data ~31,000 ~ 2,300 $ 101,000

QA/Test ~40,000 ~ 1,900 $ 97,000

DevOps ~4,300 ~ 800 $ 120,000

ADM ~39,000 ~ 2,000 $ 86,000

Scrum Master

~3,200 ~ 550 $ 112,000

37% 25% 38%

Entry Middle Senior

23% 32% 45%

Entry Middle Senior

20% 37% 43%

Entry Middle Senior

18% 30% 52%

Entry Middle Senior

25% 33% 42%

Entry Middle Senior

19% 33% 48%

Entry Middle Senior

26% 33% 41%

Entry Middle Senior

28% 31% 41%

Entry Middle Senior



Total Demand~ 11,000

• IBM• Google• Amazon

• AWS• Liberty Mutual• Oracle

• VMware• Salesforce• Wayfair

• Microsoft• State Street• Wayfair

• Wayfair• Liberty Mutual• IBM

• Akamai Technologies• Amazon• Fidelity Investments

• IBM• Google• Amazon

• Microsoft• State Street• Wayfair

• Amazon• Akamai Technologies• Raytheon

• Wayfair• Salesforce• HubSpot

• Oracle• IBM• Dell EMC

• MathWorks• Salesforce• RedHat

• MathWorks• Wayfair• IBM

• Akamai Technologies• Google• RedHat

• Wayfair• Cognizant• Fidelity Investments

• Liberty Mutual• Oracle• Pegasystems


3939


4040

Talent Hotspots- Phoenix-Mesa-Scottsdale, AZ: It is an emerging tech hub in the US, ~ 12,000 tech-related jobs have been added in the last 5 years

Employer Hotspots

ClusterNo. of

Companies*Companies

A 3American Express, Cognizant, USAA

B 3GoDaddy, JDA

Software

C 5GoDaddy, Wells Fargo, Intel, Paypal, Amazon

D 1 Amazon

Location Attributes



Avg. Commute Time3 25 minutes


Index

A 85027, 85029, 85085 C 85281, 85284, 85286

B 85254, 85258, 85260 D 85212

85012- Citizens Bank 85251- Citizens Bank



~ 8,000

Top Universities


• Elliot Road Technology Corridor & FalconTech Centre are rapidly expanding toaccommodate large high-tech campuses,software development firms and datacentres

• University of Phoenix- Arizona• Grand Canyon University• Arizona State University- Tempe• DeVry University

• Apple opened a Global Data CommandCentre in Mesa to monitor its Operationsdata

A

C

B

D


4141

MSA level Dashboard- Phoenix-Mesa-Scottsdale, AZ: Majority of the talent pool are employed across Banking and Financial Services and Computer Software and Information Services



ML ~4,800 ~ 300 $ 103,000

UI/UX ~5,000 ~ 200 $ 80,000

Cloud (AWS)

~1,200 ~ 300 $ 105,000

Big Data ~14,500 ~ 450 $ 85,500

QA/Test ~15,000 ~ 550 $ 83,000

DevOps ~1,200 ~ 200 $ 99,000

ADM ~15,000 ~ 600 $ 78,500

Scrum Master

~1,300 ~ 150 $ 95,000



Total Demand~ 2,750

• Intel• American Express• Amazon

• American Express• Cognizant• AWS

• Deloitte• State Farm• Wells Fargo

• Cognizant• Wells Fargo• USAA

• American Express• Wells Fargo• Intel

• Go Daddy• Early Warning• USAA

• American Express• GoDaddy• Amazon

• Wells Fargo• USAA• Carvana

• American Express• Wells Fargo• Amazon

• Intel• General Dynamics• GoDaddy

• American Express• Cognizant• Infosys

• Intel• PayPal• TCS

• Amazon• Intel• American Express

• GoDaddy• USAA• Cognizant

• American Express• Cognizant• Carvana

• Uber• PayPal• GoDaddy

42% 21% 37%

Entry Middle Senior

25% 42% 33%

Entry Middle Senior

20% 33% 47%

Entry Middle Senior

18% 34% 48%

Entry Middle Senior

14% 40% 46%

Entry Middle Senior

25% 33% 42%

Entry Middle Senior

20% 33% 47%

Entry Middle Senior

23% 31% 46%

Entry Middle Senior


4242


4343

Talent Hotspots- Austin-Round Rock , TX: Highly favorable location due to characteristics such as low demand and high availability of fresh software graduates

Employer Hotspots

ClusterNo. of

Companies*Companies

A 2 Dell, General Motors

B 5IBM, Indeed,

Apple, Visa, Amazon

C 2 Google,Oracle

Enterprise Hotspots in Austin-Round Rock , TX

Index

A 78753 C 78701, 78741

B78758,78759,7872778750,78753



~ 8,000

Top Universities


• Amazon will reportedly add 800 jobs to itsAustin, Texas, location focused onengineering, research science and cloudcomputing

• The University of Texas at Austin• Concordia University-Texas

• Apple plans to build a $1 billion campus inAustin that could bring up to 15,000 newjobs, solidifying Texas as the tech giant'smain hub outside of California

Location Attributes




B A

C


4444

MSA level Dashboard- Austin-Round Rock , TX: Majority of the talent pool are employed across Computer Software & IT services verticals with a small presence in Automobile and BFSI firms



ML ~8,100 ~350 $101,000

UI/UX ~10,000 ~450 $87,000

Cloud (AWS)

~2,200 ~300 $110,000

Big Data ~16,500 ~600 $85,000

QA/Test ~16,000 ~700 $85,000

DevOps ~2,400 ~350 $105,000

ADM ~21,000 ~800 $79,000

Scrum Master

~2,000 ~250 $98,000

Total Demand ~3,800



• IBM • Indeed• Apple

• Dell• Amazon• Google

• IBM • General Motors• Dell

• Visa• Indeed• Amazon

• SHI International• Rackspace• IBM

• Oracle • Google • VMware

• IBM• Dell • General Motors

• Visa• Oracle • Indeed

• Dell • IBM• Intel

• AMD• General Motors • Apple

• IBM • Dell• Charles Schwab

• Apple• Visa• Oracle

• IBM • Apple • Dell

• General Motors• Intel• Visa

• Dell • IBM• Google

• Charles Schwab• Apple • Facebook










4545


4646

Talent Hotspots- Charlotte-Gastonia, NC: Not a favorable location due to low ease of hiring and limited talent pool

Employer Hotspots

ClusterNo. of

Companies*Companies

A 3

Well Fargo (harrisblvd), Red Ventures,

TIAA

B 1 Microsoft

C 3Wells Fargo East HQ, Bank of America HQ,

Duke Energy HQ

D 1 Lowe’s HQ

Enterprise Hotspots in Charlotte-Gastonia, NC

Index

A 28262 C 28202

B 2927328202 Citizen Bank28277 Citizen Bank



~ 4,000

Top Universities

Investments by Tech Giants

• Microsoft operates its East Coastheadquarters in Charlotte, withspecialization in Product Support Services(competitive real estate, large studentpopulation and state-funded trainingprogram)

• University of North Carolina at Charlotte• Queens University of Charlotte

• Amazon has promised $200mn capitalinvestment for its new distribution center inCharlotte which would eventually lead tocreation of 1500 jobs.

Location Attributes




B

A

C

D


4747

MSA level Dashboard- Charlotte-Gastonia, NC: Major talent pool is distributed across employers in the BFSI industry



ML ~3,300 ~300 $97,000

UI/UX ~3,300 ~200 $83,000

Cloud (AWS)

~750 ~200 $115,000

Big Data ~9,000 ~400 $85,000

QA/Test ~9,000 ~800 $83,000

DevOps ~650 ~200 $102,000

ADM ~10,000 ~750 $82,000

Scrum Master

~950 ~200 $102,000









• Wells Fargo• Bank of America• Duke Energy Corp

• Lowe’s• TIAA• Red Ventures

• Wells Fargo• Bank of America• Red Ventures

• Lowe’s • Duke Energy Corp. • TIAA

• Wells Fargo• Bank of America• TIAA

• AIG• Ally• Cognizant


• Lowe’s• TIAA• Microsoft


• Lowe’s• TIAA• Cognizant

• Bank of America• Wells Fargo• Duke Energy Corp

• Infosys• Cognizant• AIG


• Microsoft• Lowe’s• Red Ventures

• Cognizant• Bank of America• Duke Energy Corp

• Wells Fargo• Charter

Communication

Total Demand ~3,050




4848


4949

Talent Hotspots- Nashville-Davidson-Murfreesboro-Franklin, TN: Not a favorable location due to low availability of talent and low supply of fresh talent pool

Employer Hotspots

ClusterNo. of

Companies*Companies

A 1 Asurion

B 1 State Farm

C 5Amazon, Cognizant,

HCA IT&S, XOitechnologies, Deloitte

D 1Ramsey Solutions

Location Attributes





Index

A 37013 C 37203

B 37130 D 37064

37067- Citizens Bank 37122- Citizens Bank



~ 2,500

Top Universities


• Vanderbilt University• Lipscomb University

• Amazon is opening its Operations CoE with5,000 employees in Nashville Yards

A

C

B

D


5050

MSA level Dashboard- Nashville-Davidson-Murfreesboro-Franklin, TN: The talent pool is distributed across IT Software /Services and Healthcare



ML ~ 1,700 ~ 150 $ 99,500

UI/UX ~ 2,100 ~ 100 $ 77,000

Cloud (AWS)

~ 500 ~ 150 $ 107,000

Big Data ~ 6,200 ~ 200 $ 78,000

QA/Test ~5,000 ~ 175 $ 84,000

DevOps ~300 ~ 100 $ 100,000

ADM ~6,000 ~ 350 $ 75,000

Scrum Master

~500 ~ 75 $ 97,000

29% 29% 41%

Entry Middle Senior

25% 29% 46%

Entry Middle Senior

22% 34% 44%

Entry Middle Senior

15% 39% 46%

Entry Middle Senior

22% 30% 48%

Entry Middle Senior

33% 25% 42%

Entry Middle Senior

25% 30% 45%

Entry Middle Senior

21% 33% 46%

Entry Middle Senior


Total Demand~ 1,300


• Cisco• Fidelity Investments• SAS

• NetApp• IBM• AWS

• Asurion• Deloitte• HCA IT&S

• Ramsey Solutions• Nissan• HCA Healthcare

• Asurion• Deloitte• Digital Reasoning

• HCA IT&S• Nissan• Parallon

• Asurion• HCA IT&S• Ramsey Solutions

• Ingram Content Group• DaVita• Deloitte

• HCA IT&S• Asurion• Schneider Electric

• Deloitte• Nissan• Cognizant

• Synechron• Asurion• UBS

• Accenture• HCA IT&S• Deloitte

• Digital Reasoning• Asurion• HCA IT&S

• Deloitte• Schneider Electric• Cognizant

• Dell EMC• Asurion• Comcast

• Deloitte• IBM• HCA IT&S


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may 2019 - amazon s3...6 6 executive summary (location level insights)-austin-round rock , tx-talent...

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