Technology Delivery Lead - Enterprise AI

About the role

Marsh is looking for a Technology Delivery Lead to join its AI Program, embedded in a technology portfolio delivery organization. You will own the end-to-end product strategy, roadmap and delivery of AI-enabled solutions that deliver business results, partnering with engineers, architects and business stakeholders. The role is highly visible, cross-functional and hybrid.

Key responsibilities

• Define product vision, strategy and multi-quarter roadmap, and turn organizational goals into actionable delivery items with clear success metrics
• Serve as the technical voice of the product, covering model development, data pipelines, APIs and AI infrastructure
• Partner with engineers and architects on feasibility, technical requirements and build-vs-buy-vs-partner decisions
• Drive responsible AI practices such as model traceability, bias/fairness, privacy and governance
• Run rapid AI POCs to validate feasibility and value
• Manage stakeholder relationships, review vendor deliverables and maintain delivery cadence across squads
• Track KPIs, OKRs and product health metrics, adoption and outcomes, and present updates to executive leadership

Required profile

• 5+ years as a Technology Product Manager or Technology Delivery Lead
• 2+ years on AI, ML or data-intensive products
• Ability to define and execute product strategy in complex, fast-moving, cross-functional environments
• Proven track record delivering enterprise-grade software from concept through launch
• Excellent written and verbal communication, able to influence without authority

Required skills

• Understanding of APIs, cloud platforms (AWS, Azure or GCP), data architecture and system design
• Experience working with architects and engineers in an agile environment
• Nice to have: LLMs, generative AI, NLP or computer vision, MLOps tooling (MLflow, Kubeflow, SageMaker, Azure ML), enterprise AI governance and model risk management

Hybrid work is offered, with colleagues expected in the office or onsite with clients at least three days per week.