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Vijaya Das

Director | Product Management | Strategy | Data, AI & Analytics | Data & AI policy & Governance | Ethical AI | GCC | R&D | Consulting

Bengaluru

26+ years of work experience

JPMorganChase
Jul 20251 yr 3 mosPresent

Deploy datahub as modern catalog for Consumer & Community banking of JPMC. Lead adoption, GTM activities including metadata migration, application integrations from legacy to new catalog.
Visa
Sep 20222 yrs 10 mosJun 2025

Bengaluru, Karnataka, India

Led successful launch of 4 key enterprise products o Enterprise Metadata Catalog - Unified open-source datahub based metadata platform serving as bed rock to enable multiple use cases. . The initiative focuses on automation, data discovery, and end-to-end data lineage, ensuring robust governance and enhanced data trust. This platform not only facilitated wide adoption across the organization but also enabled AI-driven use cases like automated data pipelines and privacy compliance. o Natural Language to SQL generation - Led the development of a Gen AI-based Natural Language Querying platform that leverages metadata to understand Visa’s business and technical context and generates contextual queries. This enabled teams to build Conversational BI for customer-facing chatbots, reducing ad-hoc analytics requests and driving strong adoption through the internal marketing campaign “Converse with your data.” o Metadata Driven Data pipeline designer - Led the design of a low-code/no-code graphical data pipeline designer that’s metadata-driven for portability and end-to-end lineage visibility. This solution drastically reduced development time, streamlining the process and offering significant cost-saving potential. It’s set to be widely adopted by data engineers across multiple environments. o AI Governance Platform - As part of AI Policy & Governance team. Key responsibilities included Defining AI principles, Responsible AI / Ethical AI practices & Standards, AI risk assessments, Gen AI safety standards, Integrating AI risk with organization GRC platform. Also Built Model Registry to track models across their lifecycle, and evaluated open-source and enterprise tools for explainability, bias & fairness detection, and drift monitoring.
Huawei
Jan 20175 yrs 8 mosAug 2022

Position India R&D Centre as a leader in Huawei's Big Data, Cloud, and Storage capabilities, while assisting in strategy and product proposals. Led product strategy for Data & Analytics Platforms, launched new product teams, and collaborated with academic institutions to establish Next Gen Tech research initiatives. Conducted ecosystem analysis for Big Data services.
Huawei
Jan 200913 yrs 8 mosAug 2022

Bengaluru, Karnataka, India

Business & Technology Planning Team : • New Business / R&D Projects proposal : Analysed Industry Trends, Study Competitors/Vendors and India Market, India Startups for Proposing New Research projects in Big Data Analytics, Cloud, AI, Storage Domain • India Open Source Analysis for Big Data, PAAS in terms of technology applicability, Skill Availability and deduce Competitor’s Open Source strategy. • Key Member of India Centric Open Source Task Force (led by VP) - To Develop Open Source strategy for India • Key Member of India Centric Org level Industry Level Analysis Task force (Led by COO) with clear goals for Year 2016 and 2017. BI and Big Data Platform Team : • BI product evaluations (like Build vs. Buy or Commercial BI vs. Open Source BI vs. Home grown BI) for the purpose of strategic partnerships & alliances. Handles direct Interaction with CXOs • Travelled across India, China and US R&D centres and worked with Business Stakeholders, Core Research team and Developer/architect community for Annual Business Plans including roadmaps and Technical re- search Plans for the BI platform. • Lead multiple teams ranging from (2 to 20) to conduct technology feasibility analysis, Initial Development. PoC / Customer Demo for new Features and finally arrive at the requirement specs to be approved for development. • Led the entire Evaluation, Shortlisting, technical Negotiation and Acceptance for a Major Source Code Buy Out Deal with Pentaho Corporation to accelerate development of BI Platform. 2 New Big Customers added after next Gen BI platform in Place • New BI features like What-If Analysis, Visualization, Big Data MOLAP Implementation added into New BI Plat- form.
Huawei
Jan 20098 yrsDec 2016

Build a scalable BI Platform for the Indian Telecom market and drive internal adoption. Led product management, defined vision and roadmap, and executed market launch. Negotiated a $500k source code buy-out deal with Pentaho, adopted open-source development for additional features, and launched analytics products using DPI technology.
WIPRO TECHNOLOGIES
Jan 20081 yrDec 2008

Worked in BI solution Pre-sales group. Responsible for Providing timely response to RFPs, Customer presentations from various customers in Insurance & telecom domain for providing DWH & BI solutions.
Jul 20008 yrs 7 mosJan 2009

Building DWH & BI systems for American Express, General Motors, Aviva, Guy Carpenter & Farmers Insurance. Led the first BI Strategy Consulting project for Aviva NUI, UK, achieving C-SAT ratings above 4.6/5.0. Established a BI Competency Centre, developed a BI maturity matrix, scoring guidelines, and defined the enterprise business intelligence architecture.

Vijaya’s AI Stack

claude code
claude code
github copilot
github copilot

Education

Deakin University

MBA (Global), International/Global Studies

Deakin University

20241 yr2025
Duke University

Product Management Certification, Product Management

Duke University

20211 yr2022

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Headline

Director | Product Management | Strategy | Data, AI & Analytics | Data & AI policy & Governance | Ethical AI | GCC | R&D | Consulting

About

I build Data, AI & Analytics platforms — mostly around Data & AI governance, metadata, data warehouses and BI. Most of this has been inside GCCs, working across banking, telecom, and financial services. Along the way I've picked up 2 patents and spent time on R&D funding proposals, startup acquisition evaluation exercises, build-vs-buy evaluations and Tier-1 university evaluations for tech research. Launched 4 enterprise products, including a metadata catalog now used by 3,000+ people that cut licensing costs by about $5M. Also built a natural language to SQL generator and a pipeline designer, both aimed at cutting down repetitive engineering work. Laid the foundation for the enterprise AI governance platform — built AI Model registry, explainability, bias, drift, explainability tool evaluation. Setup risk framework, responsible AI standards for both traditional ML and Gen AI. Worked on data governance more broadly too — better data discovery, lineage, and support for things like PII labelling and legal holds. Deeply involved in Go-to-market strategies of all enterprise products. Earlier on, I architected 4 data warehousing builds and championed BI solutions for banking, insurance, and telecom clients.

Location

Bengaluru

AI stack

claude code

github copilot

Work experience

Director of Product Management at JPMorganChase, Jul 2025 - Present · 1 yr 3 mos, Deploy datahub as modern catalog for Consumer & Community banking of JPMC. Lead adoption, GTM activities including metadata migration, application integrations from legacy to new catalog.

Director - Product Management - Data & AI platform at Visa, Sep 2022 - Jun 2025 · 2 yrs 10 mos, Bengaluru, Karnataka, India, Led successful launch of 4 key enterprise products o Enterprise Metadata Catalog - Unified open-source datahub based metadata platform serving as bed rock to enable multiple use cases. . The initiative focuses on automation, data discovery, and end-to-end data lineage, ensuring robust governance and enhanced data trust. This platform not only facilitated wide adoption across the organization but also enabled AI-driven use cases like automated data pipelines and privacy compliance. o Natural Language to SQL generation - Led the development of a Gen AI-based Natural Language Querying platform that leverages metadata to understand Visa’s business and technical context and generates contextual queries. This enabled teams to build Conversational BI for customer-facing chatbots, reducing ad-hoc analytics requests and driving strong adoption through the internal marketing campaign “Converse with your data.” o Metadata Driven Data pipeline designer - Led the design of a low-code/no-code graphical data pipeline designer that’s metadata-driven for portability and end-to-end lineage visibility. This solution drastically reduced development time, streamlining the process and offering significant cost-saving potential. It’s set to be widely adopted by data engineers across multiple environments. o AI Governance Platform - As part of AI Policy & Governance team. Key responsibilities included Defining AI principles, Responsible AI / Ethical AI practices & Standards, AI risk assessments, Gen AI safety standards, Integrating AI risk with organization GRC platform. Also Built Model Registry to track models across their lifecycle, and evaluated open-source and enterprise tools for explainability, bias & fairness detection, and drift monitoring.

Product Strategist at Huawei, Jan 2017 - Aug 2022 · 5 yrs 8 mos, Position India R&D Centre as a leader in Huawei's Big Data, Cloud, and Storage capabilities, while assisting in strategy and product proposals. Led product strategy for Data & Analytics Platforms, launched new product teams, and collaborated with academic institutions to establish Next Gen Tech research initiatives. Conducted ecosystem analysis for Big Data services.

Lead Architect at Huawei, Jan 2009 - Aug 2022 · 13 yrs 8 mos, Bengaluru, Karnataka, India, Business & Technology Planning Team : • New Business / R&D Projects proposal : Analysed Industry Trends, Study Competitors/Vendors and India Market, India Startups for Proposing New Research projects in Big Data Analytics, Cloud, AI, Storage Domain • India Open Source Analysis for Big Data, PAAS in terms of technology applicability, Skill Availability and deduce Competitor’s Open Source strategy. • Key Member of India Centric Open Source Task Force (led by VP) - To Develop Open Source strategy for India • Key Member of India Centric Org level Industry Level Analysis Task force (Led by COO) with clear goals for Year 2016 and 2017. BI and Big Data Platform Team : • BI product evaluations (like Build vs. Buy or Commercial BI vs. Open Source BI vs. Home grown BI) for the purpose of strategic partnerships & alliances. Handles direct Interaction with CXOs • Travelled across India, China and US R&D centres and worked with Business Stakeholders, Core Research team and Developer/architect community for Annual Business Plans including roadmaps and Technical re- search Plans for the BI platform. • Lead multiple teams ranging from (2 to 20) to conduct technology feasibility analysis, Initial Development. PoC / Customer Demo for new Features and finally arrive at the requirement specs to be approved for development. • Led the entire Evaluation, Shortlisting, technical Negotiation and Acceptance for a Major Source Code Buy Out Deal with Pentaho Corporation to accelerate development of BI Platform. 2 New Big Customers added after next Gen BI platform in Place • New BI features like What-If Analysis, Visualization, Big Data MOLAP Implementation added into New BI Plat- form.

Product Manager at Huawei, Jan 2009 - Dec 2016 · 8 yrs, Build a scalable BI Platform for the Indian Telecom market and drive internal adoption. Led product management, defined vision and roadmap, and executed market launch. Negotiated a $500k source code buy-out deal with Pentaho, adopted open-source development for additional features, and launched analytics products using DPI technology.

Business Intelligence Consultant - Pre Sales at WIPRO TECHNOLOGIES, Jan 2008 - Dec 2008 · 1 yr, Worked in BI solution Pre-sales group. Responsible for Providing timely response to RFPs, Customer presentations from various customers in Insurance & telecom domain for providing DWH & BI solutions.

Business Intelligence Architect at Wipro Technologies / CGI, Jul 2000 - Jan 2009 · 8 yrs 7 mos, Building DWH & BI systems for American Express, General Motors, Aviva, Guy Carpenter & Farmers Insurance. Led the first BI Strategy Consulting project for Aviva NUI, UK, achieving C-SAT ratings above 4.6/5.0. Established a BI Competency Centre, developed a BI maturity matrix, scoring guidelines, and defined the enterprise business intelligence architecture.

Education

MBA (Global), International/Global Studies, Deakin University

Product Management Certification, Product Management, Duke University