Enterprise AI Delivery Lead — Strategy & Execution

Marsh; Kansas City (MO); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Marsh seeks a Technology Delivery Lead to own end-to-end AI program strategy, roadmap, and execution within a portfolio delivery organization. You will partner with engineers, architects, and business stakeholders to translate needs into producible AI capabilities.

This role is cross-functional, high-visibility, and requires both technical depth and strategic acumen. You will drive multi-quarter roadmaps, measure adoption and business impact, and embed responsible AI practices across the

Qualifications

• 5–8+ years as Technology Product Manager or Technology Delivery Lead, with AI experience.
• 2+ years working with AI, ML, or data-intensive products.
• Strong track record turning business goals into measurable product outcomes.

Responsibilities

• Define product vision and multi-quarter roadmaps with stakeholders.
• Translate business needs into actionable product requirements and success metrics.
• Serve as technical voice across model development, data pipelines, and AI infrastructure.
• Lead AI proof-of-concepts by framing problems and evaluating data readiness.
• Drive delivery across cross-functional teams, managing risks and dependencies.
• Embed responsible AI practices including model bias, privacy, and governance.
• Present outcomes and roadmaps to executives and portfolio leadership.

Skills

AI capabilities

APIs

Cloud platforms

Data architectures

Cross-functional collaboration

Stakeholder influence

Agile product development

Program management

Education

MBA

Advanced degree in CS/Engineering/Data Science

Tools

MLflow

Kubeflow

SageMaker

Azure ML

Job description

Marsh seeks a Technology Delivery Lead to own end-to-end AI program strategy, roadmap, and execution within a portfolio delivery organization. You will partner with engineers, architects, and business stakeholders to translate needs into producible AI capabilities.

This role is cross-functional, high-visibility, and requires both technical depth and strategic acumen. You will drive multi-quarter roadmaps, measure adoption and business impact, and embed responsible AI practices across the