The Technical Program Manager role at Microsoft AI focuses on managing complex data programs to ensure high-value Microsoft product data is compliant and secure for AI training. This individual-contributor position is part of the Microsoft AI Lab and requires coordination across various teams, including research, engineering, and legal. The ideal candidate will drive the data lifecycle from acquisition to delivery while maintaining compliance and quality. The role is based in Redmond, WA or Mountain View, CA, with a requirement to be in the office four days a week.

• Bachelor’s Degree AND 6+ years of experience in engineering, product or technical program management, data operations, privacy-sensitive technology, or equivalent experience.
• Experience driving complex, cross-organizational technical programs with multiple dependencies, clear milestones, risk management, and measurable delivery outcomes.
• Experience working with data pipelines or lifecycle operations, including acquisition, ingestion, transformation, quality validation, access, refresh, retention, and deletion.
• Demonstrated ability to influence without authority, build productive technical relationships, resolve ambiguous ownership, and communicate decisions and escalations clearly.
• Working knowledge of AI training and evaluation data and relevant controls, including privacy, data protection, IP and licensing, security, Responsible AI, consent, provenance, lineage, access restrictions, de-identification, and permitted use.

• 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.
• 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.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.