Program Manager AI & Data Platforms

Position Title: Program Manager AI & Data Platforms

Job Location: Mountain View, CA(Onsite)

Joining Mode: Long Term Contract

Job Description:

Must have:

Experience: 8 12+ years in Product Management, Technical Program Management, or hybrid roles within AI, ML, or data-driven environments.

Proven success leading cross-functional AI or data platform programs from strategy through execution.

Strong technical understanding of Databricks, ETL/ELT pipelines, data modeling, and cloud data platforms (AWS/Google Cloud Platform/Azure).

Familiarity with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, and GenAI integration patterns.

Ability to translate between business requirements and technical implementation.

Excellent communication, leadership, and stakeholder management skills.

Comfortable working hands-on in ambiguous, fast-moving environments.

Good to have:

Background in software or data engineering (Python, SQL, PySpark).

Experience building or managing prototypes via Builder.io, Streamlit, or internal AI tools.

Knowledge of MLOps, data governance, or vector databases.

Experience in customer-facing roles or working with enterprise clients

Product Strategy & Definition

Own the vision, roadmap, and success metrics for AI and data platform initiatives.

Partner with product managers and data leaders to identify opportunities to leverage Generative AI, LLMs, and data intelligence across the organization.

Translate business goals and customer insights into clear product and technical requirements.

Rapidly prototype and validate concepts using tools like Builder.io, Figma, or low code/AI tools before full-scale engineering.

Program Leadership & Delivery

Lead end-to-end delivery of complex AI and data programs, coordinating across engineering, data science, product, and design.

Drive technical planning and execution for initiatives built on Databricks, ETL pipelines, AI APIs, and cloud data platforms.

Manage dependencies, risks, and execution timelines for multi-team initiatives.

Ensure alignment between data platform capabilities and product use cases.

AI & Data Integration

Collaborate with technical teams to integrate LLMs, RAG pipelines, and GenAI APIs into data workflows and products.

Evaluate and prioritize AI technologies and vendor integrations that align with business strategy.

Advocate for responsible AI practices and ensure compliance with data governance standards.

Stakeholder & Customer Engagement

Partner closely with product managers and engineering leaders to ensure delivery matches intent.

Engage directly with customers and internal users to gather feedback, validate prototypes, and iterate quickly.

Communicate program updates, risks, and impact clearly to senior leadership and cross-functional partners.