Director, Product Management - Analytics Platform

Director, Product Management - Analytics Platform (AI Studio)

Location: India
Reports to: VP, Product

Teradata is the connected multi‑cloud data platform for enterprise analytics. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives customers the flexibility to handle massive and mixed data workloads-today and in the future.

Built on an open, cloud‑native, as‑a‑service architecture, Teradata Vantage enables optimal price‑performance across multi‑cloud environments and serves as the foundation for next‑generation analytics and AI workloads.

The Director of Product Management - Analytics Platform leads the evolution of Teradata's analytics stack from legacy In‑Database Analytics to AI Studio‑native, Python‑first, and agentic workflows. This role owns the end‑to‑end Analytics Product Management charter, including Script Table Operator (STO), Open Analytics Framework (OAF), workload migration to AI Studio, Wisdom integration, and developer experiences such as Python notebooks.

• Defines how SQL, Python, and AI workflows converge into a unified developer and runtime experience
• Drives a top‑priority workload migration program critical to ARR growth and renewals
• Establishes STO as the execution backbone and OAF as the extensibility standard for analytics and AI

• STO is the default execution path for advanced analytics and AI workloads
• OAF is adopted as the standard packaging and extensibility framework
• Enterprise customers successfully migrate from SQL‑only analytics to AI Studio workflows
• Strong adoption of notebooks and Python‑first experiences versus legacy approaches

• Product Engineering teams across India building execution, runtime, and developer tooling
• Field and Worldwide Analytics Services (WWAS) teams driving customer adoption
• Product Marketing (PMM) on positioning, packaging, and field enablement
• Design partners and lighthouse customers shaping roadmap and architecture
• Reports directly to the VP of Product and operates across global GTM stakeholders

• Own the strategy and roadmap for Script Table Operator (STO) as the execution bridge between SQL and external runtimes (Python/R)
• Drive performance, reliability, security, and GPU‑aware execution paths
• Simplify developer ergonomics, observability, and debugging across SQL and notebooks

• Define OAF as the standard framework to build, package, deploy, and extend analytics and AI capabilities
• Enable reusable analytics components, third‑party libraries, and agentic AI "skills"
• Improve versioning, dependency management, and portability across environments

• Own lifecycle decisions on legacy analytics functions
• Rationalize what remains SQL‑native versus what moves to Python, STO, and OAF
• Drive convergence toward AI Studio‑native and Python‑first workflows

• Lead structured migration programs from In‑DB Analytics and batch SQL to interactive and agentic workflows
• Own migration tooling, reference architectures, playbooks, and success metrics
• Deliver measurable improvements in time‑to‑value, adoption, and customer outcomes

• Own notebook‑based experiences inside AI Studio, competing with Databricks and Snowflake
• Integrate Wisdom as a semantic and knowledge layer across structured and unstructured workflows
• Reduce fragmentation across analytics, AI Studio, and developer tooling

• 15+ years of Product Management experience in data, analytics, or platform products
• Deep knowledge of SQL engines, MPP systems, and Python data ecosystems
• Proven experience building or scaling execution engines and extensibility frameworks
• Demonstrated success leading platform migrations and developer platforms

• Experience with Databricks, Snowflake (Snowpark), Spark, or similar ecosystems
• Exposure to agentic AI, LLM workflows, and unstructured or vector data pipelines
• Strong ability to translate complex technical systems into clear product strategy
• Experience operating across India‑based engineering and US‑based GTM teams

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