Technical Program Manager - AI Graphs

Microsoft is a leading technology company focused on empowering customers through innovative solutions. The Technical Program Manager - AI Graphs will drive the delivery and integration of foundational platforms for AI systems, ensuring they meet operational readiness and deliver measurable improvements.

Responsibilities:

• Drive end to end execution of graph related initiatives across CES scenarios
• Translate graph strategy and technical requirements into integrated delivery plans with clear milestones and dependencies
• Coordinate execution across product, engineering, and CES teams to ensure graph capabilities are implemented consistently and correctly
• Manage technical dependencies across Microsoft IQ platforms, including Fabric IQ, Foundry IQ, and Work IQ
• Ensure graph implementations meet expectations for scale, reliability, observability, and operational readiness
• Establish and track delivery success criteria tied directly to scenario outcomes and product impact
• Identify execution risks early and drive resolution across teams before they impact outcomes
• Partner with stakeholders to ensure graph capabilities are consumable and effective across services

Requirements:

• Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
• 2+ years of experience managing cross-functional and/or cross-team projects
• Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience
• 6+ years of experience managing cross-functional and/or cross-team projects, large scale platform delivery, or systems integration
• 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos)
• Demonstrated experience driving execution across multiple teams and organizations
• Ability to manage complex technical dependencies and deliver outcomes in high scale environments
• Experience with platform, data, or AI adjacent systems where foundational correctness matters
• Familiarity with graph, data modeling, or semantic systems at scale
• Proven ability to operate in environments with ambiguity while maintaining delivery rigor
• Proficient communication skills with both engineering and executive audiences