Enterprise AI Product Lead - Adoption & Governance

A*STAR Research; Singapore; Sur place; SGD 180 000 - 260 000; Plein temps

Résumé du poste

A*STAR Research is seeking an AI Product Owner to lead the end-to-end management and lifecycle of Enterprise AI tools, ensuring adoption, governance, and value realization across the organisation. You will bridge users, Technology, Service Desk, AI providers, Procurement, Cybersecurity and Governance teams.

You will monitor usage and adoption, provide insights for AI investment, and recommend extensions, optimisations or retirements of tools based on cost, risk, and business needs.

Qualifications

• Bachelor’s degree in business, Computer Science, Information Systems.
• 10+ years of experience in product management, product ownership, digital platforms, SaaS management, technology operations or enterprise applications.
• Proven experience managing the full technology product lifecycle, from evaluation and onboarding through adoption, optimisation and retirement.
• Strong understanding of Generative AI, Enterprise AI tools and cloud-based technology products.
• Demonstrated ability in product portfolio management, usage and adoption analytics, and translating user needs into clear product requirements and decisions.
• Experience in service management, including incident and request triage, operational issue resolution and user support.
• Experience collaborating across business, technology, service management, procurement and governance stakeholders, with strong user engagement skills.
• Knowledge of vendor and commercial management, with experience supporting sourcing, contracts or renewals considered advantageous.
• Analytical, user-centric and value-focused, with commercial awareness and knowledge of AI governance, data protection and cybersecurity considerations.

Responsabilités

• Own the day-to-day management and lifecycle of assigned Enterprise AI tools.
• Maintain an up-to-date portfolio of approved AI products, capabilities, user groups and product status.
• Monitor product performance, adoption and user feedback to identify opportunities for improvement.
• Develop recommendations to continue, expand, optimise, consolidate or retire AI tools based on usage, value, cost and business need.
• Keep abreast of product developments and changes from AI technology providers and assess their implications for enterprise users.
• Monitor usage, consumption and adoption trends across Enterprise AI tools.
• Identify under-utilised licences or allocations and recommend reallocation or retirement where appropriate.
• Identify high-value or high-growth use cases where increased allocation or broader adoption may be warranted.
• Establish product-level metrics covering active usage, adoption, consumption, cost, user satisfaction and realised value.
• Provide regular management reporting and insights to support AI investment and allocation decisions.
• Serve as a key point of contact for users seeking access to existing or new Enterprise AI tools.
• Review and triage new AI tool requests to understand user need and whether an existing capability can address it.
• Coordinate user onboarding, access changes, licence allocation, reassignment and offboarding with relevant operations teams.
• Support users in understanding available Enterprise AI capabilities and guide them to the most appropriate approved tool.

Connaissances

Product ownership

Lifecycle management

Stakeholder engagement

AI knowledge

Governance awareness

Vendor & commercial management

Analytical thinking

Communication skills

Formation

Bachelor's degree in business/CS/IS

Description du poste

A*STAR Research is seeking an AI Product Owner to lead the end-to-end management and lifecycle of Enterprise AI tools, ensuring adoption, governance, and value realization across the organisation. You will bridge users, Technology, Service Desk, AI providers, Procurement, Cybersecurity and Governance teams.

You will monitor usage and adoption, provide insights for AI investment, and recommend extensions, optimisations or retirements of tools based on cost, risk, and business needs.