Program Manager, AI Governance & Initiatives
Listed on 2026-08-09
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IT/Tech
AI Business & Operations, Change Management, AI Evaluation, AI Engineer (Applied/Software)
AI Vision Processors For Edge Applications
Our solutions make cameras smarter by extracting valuable data from high‑resolution video streams.
Job DescriptionWith an installed base of more than 46 million AI SoC units, Ambarella’s products are utilized in a wide variety of physical edge AI applications, spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones, and other emerging robotic applications. Building on this footprint, Ambarella offers a full‑stack edge AI platform, from highly optimized silicon and programmable software to AI agentic frameworks that coordinate perception, decision‑making and control across devices.
Ambarella’s low‑power systems‑on‑chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more productive with partial or complete levels of machine autonomy. For more information, please visit
The Role
We are seeking a Program Manager, AI Governance & Initiatives to help scale enterprise AI adoption through strong program execution, technical fluency, and disciplined governance. This role will lead the operational management of company‑wide AI initiatives from intake and review through proof‑of‑concept (POC) tracking, deployment readiness, and stakeholder communication, while also helping strengthen the governance framework for responsible and secure AI adoption across the organization.
The current AI initiative program focuses on enterprise use cases such as process automation, design and content generation, information indexing and search, quality improvement, and workflow optimization.
- Manage the end‑to‑end lifecycle of enterprise AI initiatives, including proposal intake, review coordination, POC tracking, final presentation, and deployment recommendation.
- Coordinate cross‑functional governance and review processes to ensure AI initiatives are evaluated consistently, aligned with business priorities, and progressed through a structured approval workflow.
- Partner with engineering, IT, and business stakeholders to track initiative scope, implementation progress, resourcing needs, milestones, risks, and measurable outcomes.
- Help define and improve repeatable operating mechanisms such as review criteria, status tracking, deployment readiness checklists, and program reporting.
- Support AI governance activities related to approved tools, external platforms, subscriptions, and deployment controls in partnership with IT and Legal.
- Contribute to communication, enablement, and best‑practice sharing that promote broader adoption of AI across teams and regions.
- Bachelor’s degree in engineering, Computer Science, Information Systems, Business, or a related field.
- Strong program management experience leading cross‑functional technical initiatives in fast‑moving environments.
- Working knowledge of modern AI technologies, with enough technical depth to understand solution scope, implementation plans, architecture, data requirements, evaluation criteria, and integration needs.
- Ability to engage credibly with technical teams on AI solution patterns such as LLM‑based workflows, agentic systems, retrieval and document‑based knowledge systems, AI‑assisted automation, and enterprise integration.
- Familiarity with AI governance and security considerations, including tool approval controls, data usage boundaries, risk review, and coordination with IT and Legal on external or open‑source AI technologies.
- Strong written and verbal communication skills, with the ability to produce clear executive updates, structured program documentation, and effective cross‑functional communications.
- Experience supporting AI governance, digital transformation, PMO, innovation, or portfolio management programs.
- Familiarity with enterprise AI deployment considerations such as API‑based integrations, knowledge indexing, workflow automation, and technical evaluation metrics.
- Experience working on programs involving AI security, data…
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