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.
Responsibilities
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.
Qualifications
Required Qualifications
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.
Preferred Qualifications
Bachelor’s Degree AND 8+ years of experience in engineering, product or technical program management, AI data operations, data governance, privacy-sensitive products, or equivalent experience.
Experience delivering data programs across product, research, engineering, legal, privacy, security, Responsible AI, and platform teams in a large or highly regulated environment.
Strong technical judgment and written communication skills, with experience defining operational controls, troubleshooting data delivery issues, creating scalable processes, and using metrics to improve cycle time, quality, compliance, and refresh reliability.
Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- 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, 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.
- 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 controls, including privacy, data protection, intellectual property, licensing, security, Responsible AI, consent, provenance, lineage, access restrictions, de-identification, and permitted use.
- Bachelor's degree and 8+ years of experience in engineering, product or technical program management, AI data operations, data governance, privacy-sensitive products, or equivalent experience.
- Experience delivering data programs across product, research, engineering, legal, privacy, security, Responsible AI, and platform teams in a large or highly regulated environment.
- Strong technical judgment and written communication skills, including defining operational controls, troubleshooting data delivery issues, creating scalable processes, and using metrics to improve delivery.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
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