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. We're 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 required.

• 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.