Technical Program Manager, Cross-Company AI Data

At Microsoft AI we are building advanced AI systems that help people and organizations achieve more. We are creating a trusted repeatable system that turns high-value Microsoft product data into compliant secure researcher-ready assets for AI training and evaluation while protecting users and honoring product commitments.

This individual-contributor role sits within the Microsoft AI Lab and drives the day-to-day technical program work required to move high-value data from request through compliant acquisition preparation access use and refresh. Were looking for an experienced Technical Program Manager who can coordinate across research product engineering legal privacy security Responsible AI and data operations teams to keep complex data programs moving.

You will own execution across the data lifecycle: clarifying researcher requirements identifying accountable source owners ensuring data is properly obtained and approved coordinating secure transfer and access overseeing scrubbing and quality validation documenting permitted uses and controls and maintaining reliable refresh and deletion processes. You will manage technical relationships across teams surface risks early and unblock dependencies so approved data reaches researchers in a usable and compliant form.

The ideal candidate is a hands-on low-ego operator who brings structure to ambiguous technical and compliance workflows builds trust across organizational boundaries and drives issues to resolution without relying on formal authority. They communicate clearly maintain accurate operating records and create repeatable mechanisms that improve delivery speed data quality and control adherence.

This role is based in Redmond WA or Mountain View CA. You are required to be in the office 4 days per week.

• Drive data programs from intake through delivery by translating researcher needs into clear requirements milestones owners dependencies risks and acceptance criteria.

• Unblock acquisition and access by coordinating with product data owners engineering teams legal privacy security Responsible AI procurement and external partners; escalate decisions with concise context and recommended paths.

• Manage day-to-day technical relationships with source teams and data partners including data specifications transfer methods schemas storage access patterns service expectations issue resolution and refresh commitments.

• Ensure data is properly obtained documented and used within approved purposes and restrictions by maintaining evidence of source authorization provenance lineage consent or opt-out requirements retention deletion and access controls.

• Coordinate data preparation and remediation including ingestion scrubbing de-identification credential and PII removal deduplication filtering quality checks and validation against researcher requirements and compliance controls.

• Oversee recurring refreshes and lifecycle operations by defining schedules monitoring freshness and delivery health resolving failures validating replacement datasets and ensuring expired or disallowed data is removed as .

• Maintain clear program artifacts and operating rhythms including status decisions risks control evidence issue logs handoffs and metrics for cycle time quality refresh reliability compliance and researcher readiness.