Product Manager

Must Haves:

• Strong experience delivering AI/ML, Generative AI, and data products, with sufficient technical depth to challenge solution approaches, assess architecture and model choices, and guide technical teams.
• Strong working knowledge of Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, LLMs, RAG, machine learning, analytics, and enterprise data platforms, including an understanding of AI/ML pipelines, model evaluation, predictive modelling, and related techniques.
• Significant experience in technical product management or product ownership, including developing product strategies, technical roadmaps, prioritization frameworks, and business cases, and translating complex business requirements into scalable AI solutions that deliver measurable value.

Location: Hybrid – 3 days a week onsite

Public Sector Experience: preferred but not required

Position Summary

The Senior Product Manager, Enterprise AI will provide end-to-end product leadership for priority AI initiatives, from opportunity identification and intake through prioritization, delivery, adoption, and benefits realization.

Working across business, Data & AI, Technology, and governance teams, the role will translate business needs into high-value AI opportunities, establish product roadmaps and priorities, and ensure AI investments deliver measurable organizational value.

Key Responsibilities

• Lead the intake, assessment, and prioritization of enterprise AI opportunities and use cases.
• Develop and maintain the enterprise AI roadmap, balancing business value, strategic alignment, feasibility, data readiness, risk, and delivery capacity.
• Identify business needs, enterprise data priorities, and capability gaps through engagement with stakeholders across the organization.
• Translate business challenges into clearly defined AI products, use cases, requirements, outcomes, and success measures.
• Provide product leadership across the lifecycle, from discovery and experimentation through implementation, adoption, and continuous improvement.
• Coordinate across business, data science, engineering, architecture, technology, project delivery, and governance teams.
• Engage Privacy, Cybersecurity, Legal, Data Governance, Responsible AI, and other control functions as appropriate.
• Develop business cases, value propositions, KPIs, and benefits-realization measures for priority initiatives.
• Track adoption and business outcomes and recommend whether AI solutions should be scaled, enhanced, sustained, or retired.
• Identify opportunities to develop reusable enterprise AI and data capabilities that can support multiple business areas.

Qualifications & Experience

• Degree in Business, Computer Science, Information Systems, Engineering, Data/Analytics, or a related field, or equivalent experience.
• Significant experience in product management, product ownership, digital transformation, data/analytics, AI, or technology delivery.
• Demonstrated experience developing product strategies, roadmaps, prioritization frameworks, and business cases.
• Experience translating complex business needs into technology, data, analytics, or AI-enabled solutions.
• Strong understanding of AI, Generative AI, machine learning, analytics, enterprise data, and Responsible AI concepts.
• Strong stakeholder management, facilitation, communication, and decision-making skills.
• Ability to influence across business and technical teams and communicate complex concepts clearly to senior stakeholders.