Sr. Director, Technical Program Management AI/ML

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Senior Director, Technical Program Management AI/ML 45961 Overview And Responsibilities Job Summary:

The Senior Director of Technical Program Management (AI) collaborates with engineering management. They lead the development and growth of AI-driven platforms and systems. Enhance capabilities within the Consumer AI organization.

This role sits at the intersection of technology, product, and business strategy translating AI concepts into scalable, production-grade systems that deliver measurable impact.

The ideal candidate brings deep systems thinking, deep technical judgment, hands-on experience building AI solutions, and the adaptability to lead in fast-pace, experimental AI environments.

They will oversee a portfolio of AI/ML investments, lead a team of senior program management leaders, and serve as a trusted advisor to executive stakeholders.

Key Responsibilities

Strategic AI Portfolio Leadership

Own PMO oversight of the end-to-end AI/ML portfolio, including long-range we plan and select where to invest. We also measure the results based on specific goals.

Enable software product operating models that support high-volume experimentation, rapid learning cycles, and continuous improvement.

As the team and AI / ML products scale, introduce the correct level of lean process, while still supporting innovation and autonomy.

Establish planning rhythms, reviews, and metrics. Ensuring accountability and give senior management visibility.

Drive clarity on priorities and tradeoffs across AI investments to maximize long-term leverage and impact.

Establish and track portfolio-level success metrics connecting model performance, adoption, and business outcomes.

Serve as a key contributor on the PMO AI solutions team, actively collaborating in the ideation, design, and build of AI-generated tools and automation workflows to impact productivity, efficiency, and project/people data insights.

Program Management: Risk, Dependencies, and Go-to-Market Integration

Proactively identify, assess, and mitigate technical, delivery, and systemic risks along with recommended mitigation strategies and decision points.

Own dependency management across multiple teams, platforms, and product surfaces, ensuring sequencing, interfaces, and handoffs are clearly understood and actively managed.

Drive issue resolution for complex, cross-team challenges by facilitating rapid root-cause analysis, aligning stakeholders on tradeoffs, and ensuring timely, durable outcomes.

Partner closely with adjacent engineering, platform, and product teams to ensure AI/ML capabilities are production-ready, scalable, and aligned to go-to-market timelines.

Synthesize and communicate clear, data-driven insights on program health, risks, and strategic tradeoffs to engineering management and executive stakeholders.

Lead executive-level discussions on program health, delivery progress, and measurable outcomes across AI initiatives.

Basic Qualifications: 12 + years of experience in Technical Program Management, or similar roles.

Proven experience leading AI / ML specific portfolio-level programs spanning multiple teams and product areas, with a focus on consumer- facing capabilities and business growth.

Deep knowledge of agile, lean, and iterative delivery models, with the ability to adapt them to non-traditional workflows.

You should have remarkable communication skills. You need to be proficient in managing stakeholders. You must be able to work well with others.People management skills, including experience managing managers.

Relevant technical certifications such as cloud platforms, AI/MLfoundations, Generative AI, Technical Program/Product Management, or

Technical/Engineering.

Demonstrated hands-on use of AI-assisted development tools, low-code/no- code, for prototyping, automation, and …