Senior Technical Program Manager

Microsoft

About The Position

Are you energized by turning ambiguous, high‑stakes customer problems into crisp, executable technical plans that ship? Do you thrive at the intersection of customers, engineering, and applied science—driving AI solution delivery from use‑case definition through production outcomes? The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global consulting and engineering organization that supports Microsoft’s most complex and leading‑edge customer engagements. We partner with strategic customers to deliver applied AI capabilities, establish repeatable delivery patterns, and improve how teams build, validate, and operationalize AI solutions at scale. As a Senior Technical Program Manager, you will be accountable for the “what, how, and when” for customer delivery. On this team, you will serve as the product owner for the engagement, the day‑to‑day customer owner, and a key owner of the technical strategy. You will translate customer problems into a prioritized plan, guide technical direction with engineering and applied science partners, and ensure we ship solutions with measurable business impact.

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.
Demonstrated experience managing cross-functional / cross-team programs with dependencies, risks, and measurable outcomes.
Hands-on AI/ML technical experience (e.g., implementing prototypes, integrating models or AI services, validating model behavior, defining evaluation signals, or driving operational readiness) sufficient to credibly lead feasibility discussions and execution tradeoffs.

Nice To Haves

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.
1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
Experience delivering AI/ML solutions into production or enterprise environments, including operational readiness and iterative improvement cycles.
Experience defining success metrics (OKRs/KPIs), using performance data to steer delivery decisions, and driving quality improvements.
Experience coordinating governance motions and release readiness for customer-facing technical solutions.
Strong technical communication skills: ability to translate between customer goals, technical constraints, and delivery plans.

Responsibilities

Lead end‑to‑end customer delivery across multiple parallel workstreams and use cases.
Deeply understand the customer’s business need, translate it into clear problem statements and success criteria, and define a delivery strategy that balances speed, rigor, and operational readiness.
Run the engagement backlog as the product owner: shaping epics and user stories, prioritizing work, defining validation criteria, and guiding sprint planning and execution so the team can reliably deliver increments of working capability.
Provide technical program leadership that is hands-on and architecture-aware.
Partner with engineering and applied science leads to converge on technical approaches, review designs for feasibility and integration risk, and drive decisions on build vs. reuse, experimentation vs. hardening, and performance vs. cost.
Ensure the right instrumentation and evaluation signals exist, telemetry, quality metrics, and end‑to-end validation, so teams can iterate quickly while maintaining a clear bar for production outcomes.
Actively own customer alignment and execution with external stakeholders.
Drive workshops and working sessions to clarify requirements, constraints, and dependencies, and you will communicate tradeoffs and decisions with credibility.
Manage stakeholder expectations through crisp, outcome‑based updates, and you will act as the first line of escalation for delivery issues; unblocking teams, driving decisions, and keeping execution on track.
Own governance, risk, and release readiness for production outcomes.
Run RAID management and dependency management across teams, anticipate delivery and operational risks early, and implement change control where needed.
Ensure delivery governance meets expectations for quality, compliance, privacy, security, safety, and accessibility as applicable to the engagement.
Drive release readiness end‑to‑end, including staging plans, validation gates, operational readiness checks, go‑live coordination, and post‑release follow‑ups.
Scale impact by creating reusable delivery patterns and raising the technical delivery bar across engagements.
Convert learnings into repeatable assets and drive adoption across teams to improve consistency, velocity, and quality over time.