Samay Jain
A.Director - Data Engineering, Analytics & Decision Science - AIA (Artificial Intelligence & Analytics) Practice
- Role
- a Director - Data Engineering Data Analytics at Cognizant
- Location
- Los Angeles, CA, US
- LinkedIn followers
- 500 followers
About Samay Jain
With 25+ years of IT expertise spanning in the Consumer & Retail, Media & Entertainment, Telecommunications, Banking & Finance, and Commissions & Payment sectors, held key leadership roles including Data Leader, Engineering Director, Data Analytics Manager, and Data Architect. •As a Data leader, managed Data Engineering, Data Science & Analytics, Data Management, Data Visualization and Data Operations portfolios.•Responsible to influence the data portfolio vision, develop Data strategic & roadmaps, and prioritize key Data initiatives in collaboration with business stakeholders. •Drive GenAI initiatives & help build GenAI agent-based platforms which are accurate, robust & scalable across enterprise.•Embracing the culture of Native AI across business processes, SDLC and operations to bring simplification & automation and better user experience overall. •Leading the Data Modernization effort including improvising the existing landscape, legacy data platform migration and reducing the technical debts and bring overall operational efficiencies. •Established Data Centers of Excellence (COEs) to develop data assets, design patterns, frameworks, tools, and accelerators, spearheaded hackathons on emerging data trends and technologies, fostering innovation and knowledge. •Delivered thought leadership on leveraging data for strategic advantage, promoting a data product mindset that empowers business & teams to drive value through data-driven decision-making.•Experience in establishing enterprise data management and governance frameworks, implementing data privacy policies, and data cataloging and data quality.•Recognized as a visionary in innovating and transforming data engineering, analytics, and data science platforms.•Experience in conceptualizing, designing, and implementing large-scale, complex Data lakehouse & data warehouses across cloud platforms, ensuring cost optimization, security, availability, performance, and scalability.•Establishing partnerships with hyperscalers and developed comprehensive roadmaps to facilitate the creation of data pipelines, dashboards, and AI/ML models. •Lead Enterprise Architectural Governance Board (EAGB) to review architecture, technical solutions, best policies, and standards to design the scalable & performance-oriented platform.•Established governance frameworks and cadence for reviewing KPIs, key achievements, and potential impediments. Actively participated in Quarterly Business Reviews (QBRs), Steering Committees with stakeholders.•Anchor Demos, RFI, RFP including solution tenants, commercials etc.
Experience
a Director - Data Engineering Data Analytics
Apr 2021 — Present · Los Angeles, CA, US
Manage Multi Million $ AI and Data Analytics portfolio covering Data Engineering, Data Science & Analytical programs with the engineers distributed across geographies globally.•Lead the GenAI implementation (Chatbot system) using latest LLM (GPT 4) models, chunking strategies and Vector DB, RAGAS framework to deliver a robust, secured and scalable Agent based GenAI platform. •Manage Customer 360 program to provide Master data management with 360° view of customers, build Global Customer Data platform on GCP globally and enable Artificial Intelligence & data analytics capabilities.•Manage Digital transformation programs including Teradata to GCP migration program.•Manage Data Science programs such as Customer Analytics to predict the upsell and cross sell, Facility analytics to improve the crop yield, In Season monitoring to predict weather impact on the crop etc.•Manage BI programs to build & design analytical platforms including high impact dashboards & data visualizations to address reporting needs of Business and facilitates their decision-making process & streamline business strategies via quantitively & qualitative analysis of data.•Enabled cross-functional relationships between Data Engineering, Data Science & Analytical Product Management, Design and Software Engineering leaderships to understand end to end data needs.•Established Data Portfolio Vision, strategic roadmap, key initiatives & priorities, establish governance/cadence to review the KPIs, status, progress.•Anchor Enterprise architectural governance board to review architecture & technical solutions & establish best policies to design the scalable & performance-oriented platform.•Provide though leadership to enable Data Residency, Data Quality & Data Privacy in the Multi region implementation on GCP platform including complex data pipelines for streaming data.•Responsible for delivery excellence with on time budget delivery with zero defect density, optimization & automation framework.
Education
Devi Ahilya Vishwavidyalaya
BBA, Management
Devi Ahilya Vishwavidyalaya
MCA, Computers
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