SUMMARY:

• Master Data Management Architect for a leading Bank (Confidential)
• Data Architect for data science capability development initiative and Confidential
• Architect Customer 360 and CRM for a leading luxury retailer (Chanel)
• Lead Data and platform architect for a leading financial services firm (Confidential)
• Lead Information Strategy and Architecture for customer centricity in a leading Confidential (Confidential)
• Lead architect to create and rollout Enterprise Data and Message models, Taxonomy, Business glossary for a large financial services firm (Confidential)
• Lead Data Architect for a financial services group. Lead strategic initiatives, including Master Data Management, project support, implementation and Governance (Confidential)
• Architect for Business intelligence strategy and implementation (Confidential)
• Data Architect for Market Risk Management (Confidential)
• Data Architect for finance (Confidential)
• Data Architect for Risk Management (Credit Suisse)
• Sr.Manager in the Information Management and Integration Practice

SKILLS:

Platforms:  Exposure to Microsoft Azure, Amazon web services

Modeling tools: Erwin Data modeler and ModelManager, Sybase Power designer, Embarcadero DBArtisan

Industry Models: Teradtaa, IBM

ETL: IBM Infosphere Informatica, Sql server Integration Services (SSIS), exposure to Talend

Metadata: Informatica Metadata Manager, Business Glossary,

 IBM: Infosphere Metastage, Common Warehousing Metamodel (CWM)

MDM: IBM Infosphere Master Data Management, Informatica MDM

BI tools: Microsoft Analysis Services (SSAS), Sql Server Reporting Services (SSRS), IBM Cognos, Business Objects, Qliq Sense, Qlik View

PROFESSIONAL EXPERIENCE:

Senior Manager

Responsibilities:

• Purpose: The program was to build a foundational operational and master data hub to integrate and deliver high quality, reliable customer golden record to several thousand consumers spanning the enterprise
• Key components: Master and Operational data strategy, target state architecture, roadmap, business process alignment, master data governance framework, target operating model, Current State and Gap analysis
• Methodology: Sapient approach for data strategy was leveraged to deliver the
• Team Size: The strategic consulting team size was 8 with 20+ client SMEs forming the entire program core team
• Sriram’s role: Sriram led the data track of the program delivering current state analysis, define target state and roadmap

Lead, Platform Architecture and Design

Responsibilities:

• Purpose: The program was to build a foundational data hub to deliver high quality, reliable data to several thousand consumers spanning the enterprise
• Key architectural components: Components to acquire and deliver master and transactional data included a master data management (MDM) system, Operational Data Store (ODS), Data Warehouse and a Big data platform
• Methodology: Sapient Approach, an agile methodology developed by sapient, was used to build the components
• Team Size: The design and development team size was around 70 including on site, off shore and client team members
• Sriram’s role: Sriram led the data track of the program in planning, architecture, design, delivery and governance

Data Strategy and Architecture SME

Responsibilities:

• Purpose: Formulate Enterprise Information Strategy aligned to targeted business outcomes, current state analysis, target state definition, gap analysis and funded roadmap to target state
• Approach: Sapient’s approach was to build reference models (business capabilities, Application portfolio, Data reference and Technology reference models mapping the dependencies) and use the models to for strategic alignment, standards compliance and governance
• Sriram’s Role:
• Created foundational architecture, patterns and blue prints for customer and master data, big data, data warehousing and business intelligence, data integration and enterprise data model
• Created standards and guidelines for the components and a governance model to ensure standards compliance. The standards included data modeling, data quality, technology standards
• Provided governance oversight to ensure program implementation were aligned with the information strategy, architecture, and standards

Lead Data Architect

Responsibilities:

• Purpose: The program was to build foundational data architecture and standards to improve information delivery, data and metadata quality and enable governance
• Key components: Operational Data Store (ODS/ Data hub), Enterprise Data Model (EDM), Enterprise Message Model (EMM), Business Glossary, Taxonomy, Metadata management tool
• Sriram’s role: Sriram led the team in developing enterprise data and message models, implement metadata collection policies and processes, create taxonomy and glossary, roll out metadata management tool

Data Architecture Lead

Responsibilities:

• Sriram’s role: Sriram was the data architecture lead of the Confidential. Role included
• Formulate information management strategy and architecture
• Build Data Management Capabilities in delivering business value, agility, standardization and governance
• Roll out Master Data Management tool and Enterprise Data Model
• Support programs and projects providing domain expertise and ensure strategic alignment
• Govern programs to ensure standards compliance. Sriram was a member of the SOA, Global Technology Architecture Council(GTAC) Governance committees
• Lead and mentor a team of data architects

Architect, Collateral Data Repository

Responsibilities:

• Part of a team to develop a high level architecture and implementation plan for a collateral data repository

Business Intelligence Lead

Responsibilities:

• Led the BI initiative to deliver business critical risk measures and Value at Risk (VAR) to support operational decision making, statutory and management reporting McKinsey and Company

Confidential

Data Warehouse and Business Intelligence Analyst

Responsibilities:

• Led architecture for the Enterprise Data Warehouse, Investments Data Mart, Enterprise Metadata Repository and Balanced Scorecard projects