Our AI solutions are already in production. You will establish and lead a central AI solutions hub for the agreed portfolio, consolidating overlapping solutions and developing reusable products. The hub combines a shared catalogue with product-lifecycle and governance mechanisms, using existing approved tools and agreed team responsibilities. It covers maintenance and enhancement priorities after rollout.
You will set change-management direction with process owners and define the mechanisms that turn approved AI capabilities into improved business outcomes. Business champions and enablement teams will deliver agreed communications, training and rollout activities. You will review results and remove barriers, using sustained use and feedback to explain where products or workflows need to improve.
Practical knowledge of AI product design and development is essential. You will guide technical decisions on data integration, model evaluation and deployment requirements, and build selected prototypes to validate approaches. You will work with senior engineering leaders across platforms to prioritise features and connectors that unblock AI development, deployment and integration. We prefer candidates who have deployed AI products for business users, especially on AWS.
You will own the regional governance framework and retain responsibility for portfolio evolution after launch. Engineering and service owners will implement, maintain and operate products under agreed responsibilities and capacity. Security and data owners retain approval authority. You will report time saved, quality and throughput improvements, and cost savings or avoidance against agreed baselines, using measures relevant to each initiative. Assess benefits alongside operating costs and the effort needed to review or correct AI outputs.
Key job responsibilities
Lead the APAC AI transformation roadmap across five verticals. Prioritise opportunities by business value, readiness, technical feasibility, cost and risk.
Own APAC DCPD's collaboration with AMER and EMEA to identify opportunities for reuse and scaling of shared AI solutions.
Establish the central AI solutions hub using approved tools and agreed team responsibilities. Lead portfolio consolidation, maintenance, enhancement and retirement, with named owners and lifecycle commitments.
Set change-management direction with process owners and enablement teams. Redesign workflows and use feedback to improve business results.
Own regional AI governance, risk reviews and evaluation criteria. Security and data owners retain approvals. Require read-only agents by default, with human approval and audit logging for changes to systems of record.
Guide AI product design and build selected prototypes. Work with senior engineering leaders across platforms to prioritise features and connectors that unblock development, deployment and integration.
Lead cross-functional delivery, resolve dependencies and agree operational ownership. Measure time saved, quality, throughput and cost savings or avoidance against baselines, accounting for operating costs and human review effort. Recommend what to scale, improve or stop.
About the team
About AWS
Diverse Experiences
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Work/Life Balance
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7+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules
Experience developing, deploying and managing AI products at scale
Experience with technology risk, IT security audit, compliance and/or relevant regulatory knowledge
Experience leading AI or digital transformation programs across business units or regions, including change management.
Experience working with or evaluating AI systems
Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units
Experience with automation or working with scripting languages like Python, Java, Perl, PHP, Ruby, Bash, Shell, or equivalent
Experience in data centers, infrastructure service providers, or related technology companies
Experience architecting/operating solutions built on AWS
Experience consolidating technology products across business units and managing shared roadmaps through maintenance, enhancement and retirement.
Experience defining business outcome metrics and presenting recommendations to senior leadership.
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