Deepeka Sabapathy

About Deepeka Sabapathy

I am a Technical Program Manager focused on leading complex data platform, governance, migration, and AI initiatives across enterprise environments. My experience includes roadmap planning, release sequencing, dependency management, stakeholder alignment, risk mitigation, rollout execution, and post launch improvement. Most recently, I owned the end to end rollout of a reusable record management platform across engineering teams. I partnered with stakeholders to prioritize onboarding use cases, drive tradeoff decisions across scope and timeline, and serve as the primary coordination point across engineering, architecture, and business teams. I also established risk and dependency tracking across onboarding, developed implementation playbooks, led delivery across 16 new applications, and exceeded the 2025 target by 60%. My experience spans Python, SQL, Spark, AWS, ETL, and data warehousing, with a strong focus on execution across data and AI platforms. I have also driven AI related initiatives including RAG based governance solutions and LangGraph powered agentic workflows to improve operational efficiency, strengthen governance processes, and accelerate analysis of schemas, queries, and data quality signals. I am especially interested in Technical Program Manager roles where I can lead cross functional execution, bring structure to complex initiatives, and drive platform programs from planning through adoption.

Experience

1. Technical Program Manager

   Cognizant

   Jan 2024 — Present

   Leading cross functional programs across data platforms, governance, migration, and AI capabilities, partnering with teams across organization to drive data quality, privacy, and compliant data usage at scale.• Owned roadmap planning and end to end rollout of reusable record management capabilities across engineering teams, driving scope, milestones, dependencies, and adoption planning that reduced rebuild effort by 60%.• Partnered with product owners, architects, and application teams to prioritize high impact use cases, define governance requirements, and drive tradeoff decisions across scope, timeline, and readiness.• Served as the primary coordination point across engineering, architecture, and business stakeholders, leading implementation alignment, risk escalation, dependency management, and release readiness across application onboarding.• Led migration planning and execution for legacy data into Redshift Serverless using AWS DMS, overseeing source to target mapping, validation strategy, test migration planning, and go live readiness while reducing storage costs by 50%.• Led the development of AI powered RAG (Retrieval Augmented Generation) governance solutions that improved operational efficiency and accelerated governance rollout across the platform.• Drove Lang Graph based agentic workflows that analyzed database schemas and generated SQL queries to identify schema issues, evaluate record volumes and effective date coverage, and detect non-compliant records earlier.• Developed governance playbooks, workflow standards, and rollout frameworks that improved platform usability and operational consistency, supporting successful delivery across 16 applications and exceeding the 2025 target by 60%.• Defined success metrics across onboarding progress, remediation throughput, and rollout readiness, and used leadership reviews and post launch feedback to improve future implementations.

Education

• Politecnico di Torino

  Master's degree, Communication and Computer Networks Engineering

  2017 — 2020

• Amrita Vishwa Vidyapeetham, Coimbatore

  Bachelor's degree, Computer Science

  2011 — 2015