Technical Program Manager, Cross-Company AI Data

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.

Bachelor's Degree AND 6+ years of experience in engineering, product or technical program management, data operations, privacy-sensitive technology, or equivalent experience.

driving complex, cross-organizational technical programs with multiple dependencies, clear milestones, risk management, and measurable delivery outcomes.

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.

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.

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.