below marketmost similar roles pay hereabove market
This role pays more than
61%
of similar roles. Most pay
$166,187–$222,200
— the blue band above.
At the midpoint, this role pays about
$209k
versus about
$194k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
The Technical Program Manager, Cross-Company AI Data is an individual-contributor role within the Microsoft AI Lab. This position drives the technical program work required to move high-value product data through compliant acquisition, preparation, access, use, and refresh. You will own the data lifecycle by clarifying researcher requirements, identifying source owners, coordinating secure transfers, and overseeing scrubbing, de-identification, and quality validation. You will manage technical relationships across research, product, engineering, legal, privacy, security, and Responsible AI teams to unblock dependencies and ensure data reaches researchers in a usable form. Key competencies include managing data pipelines, lifecycle operations, and governance controls. You will solve the problem of turning complex product data into compliant, researcher-ready assets for AI training and evaluation while maintaining strict provenance, lineage, and privacy standards.
What does a Technical Program Manager earn in Washington?
Median $174950 from 60 postings across 12 companies.
Translate researcher needs into clear technical requirements, milestones, dependencies, and acceptance criteria.
Coordinate with legal, privacy, security, and engineering teams to unblock data acquisition and access.
Manage technical relationships with data partners regarding schemas, storage, transfer methods, and service expectations.
Maintain evidence of data provenance, authorization, consent, retention, and access controls.
Coordinate data preparation including scrubbing, de-identification, PII removal, and quality validation.
Oversee recurring data refreshes, monitoring delivery health and ensuring the removal of expired data.
Maintain program artifacts including status reports, risk logs, and metrics for cycle time and quality.
What we're looking for
Bachelor’s Degree and 6+ years of experience in engineering, product, technical program management, data operations, or privacy-sensitive technology.
Bachelor’s Degree and 8+ years of experience in engineering, product, technical program management, AI data operations, data governance, or privacy-sensitive products (preferred).
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 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, licensing, security, Responsible AI, and provenance.
Experience delivering data programs across product, research, engineering, legal, privacy, security, and Responsible AI teams in large or highly regulated environments (preferred).
Strong technical judgment and written communication skills to define operational controls, troubleshoot data delivery, and use metrics to improve cycle time and quality (preferred).
AI
ML
Automation
LLM
RAG
Predictive Modeling
Workflow Orchestration
Data Pipelines
Knowledge Graph
Ontology
Analytics
Solution Design
Information Security
AI
ML
Automation
LLM
RAG
Predictive Modeling
Data Pipelines
Workflow Orchestration
Knowledge Graph
Ontology
Analytics
Information Security
Solution Design
production-readiness
AI Infrastructure
Data Center Deployment
Liquid Cooling
Power Delivery
Networking
Hardware
Software
Commissioning
Basis Of Design
Colocation
Storage
Network Topology