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Technical Program Manager, AI Data Infra & Systems

Microsoft AI
Redmond, USA
Manager
Onsite
Discovered Today
sql

Full Job Posting

What You'll Do

  • As a Principal TPM of Data Acquisition Operations, you will own the end-to-end operating model for data acquisition, from opportunity and contracting through supplier delivery, ingestion, validation, cataloging, researcher discovery, and data usage in training.
  • You will lead a combined operations and governance team, with engineering support. That includes the operations and automation leads who own data validation, supplier tracking, and acquisition reporting, and an engineering function responsible for the ingestion, publishing, and storage infrastructure that data acquisition runs on. You will own that engineering roadmap, its staffing, and its delivery. You'll also partner closely with data acquisition leadership on portfolio priorities, and with infrastructure and platform leadership on data governance, access control, lineage, and the boundaries between acquisition-owned systems and central platform services.
  • Own the data acquisition operational and governance model end-to-end, establishing a single source of truth across opportunities, contracts, work orders, delivery tracking, inventory, and budget for both acquired and cross-company data.
  • Manage and grow the operations, automation, and engineering team, including direct management of technical leads and an engineering function owning core acquisition infrastructure.
  • Own the acquisition platform roadmap and its delivery: automated ingestion and validation, supplier-facing delivery and metadata capture, publishing pipelines, role-based reporting that separates financial views from researcher discovery, and persistent lineage across datasets and model training runs.
  • Partner with compliance, infrastructure, and platform leadership on data governance, defining strategy for review gates, access control models, retention and disclosure obligations, and clear ownership boundaries between acquisition systems and central services.
  • Lead supplier operations at scale, covering onboarding, standardized work orders and delivery requirements, quality and throughput measurement, and contractual quality protections, including tying tracking and metadata completeness to payment readiness.
  • Reduce procurement and supplier onboarding cycle time against explicit targets, and instrument the pipeline so throughput, coverage, and data quality are measured rather than inferred.
  • Sponsor the strategic approach of audit, compliance, and regulatory requirements end-to-end, as governance owners convert them into tracked, owned engineering and process work.
  • Build the universal researcher-facing data catalog so that acquired data is discoverable, well-described, and trustworthy at the point of use.
  • Eventually, address frontier issues in data quality, quality assurance, and other areas related to data usage and quality.

Qualifications

  • We know that strong candidates come from many different backgrounds and experiences. If you are excited about the role and believe you could make an impact, we encourage you to apply, even if you do not meet every qualification listed below.
  • Extensive experience leading operations at scale in data operations, supply chain, vendor and supplier management, or procurement operations.
  • Experience managing engineering teams and owning a technical roadmap, with the judgment to make build, buy, and partner decisions and the credibility to lead engineers directly.
  • A track record of replacing manual, spreadsheet-driven processes with real systems with experience in owning and iterating on enterprise-wide platforms.
  • Technical fluency in data pipelines, ETL, SQL/Kusto, data warehouses, databases, postgres DB, NoSQL DB, ingestion and validation, cloud storage and access control, and metadata and lineage, with the ability to reason about trade-offs between coverage, metadata completeness, and operational simplicity.
  • Experience operating where data governance, privacy, licensing, and regulatory and audit obligations and disclosures are first-order constraints.
  • Strong executive communication and the ability to drive alignment across research, engineering, finance, legal, infrastructure, and external suppliers.
  • Familiarity with the AI/ML data landscape, including pre-training corpora, multimodal data, post-training and RL task supply, and the supplier ecosystem.
  • Technical Program Management IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 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.

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