Enterprise AI Delivery Lead

Marsh; Louisville (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Marsh is seeking a Technology Delivery Lead to own the end-to-end product strategy, roadmap, and execution for AI-enabled solutions within our enterprise technology portfolio. You will partner with engineers, architects, and business stakeholders to translate needs into deliverable AI capabilities and measurable business outcomes.

This role requires 5–8+ years in technology product management or delivery leadership, with AI, ML, data-intensive products, and cloud experience (AWS/Azure/GCP).

Qualifications

• 5–8+ years in Technology Product Management or Delivery Lead roles, with AI/machine learning experience.
• Strong technical foundation with APIs and cloud platforms (AWS/Azure/GCP).
• Experience partnering with engineers, architects, and analysts in agile environments.
• Proven ability to deliver enterprise-grade software from concept to launch and adoption.

Responsibilities

• Define and drive product vision, strategy, and multi-quarter roadmap with stakeholders.
• Translate goals into actionable requirements, delivery plans, and success metrics.
• Lead AI proofs-of-concept, assess data readiness, and propose next steps.
• Manage risks, dependencies, and vendor deliverables to ensure delivery cadence.
• Embed responsible AI practices across the product lifecycle.
• Present outcomes and roadmaps to senior leadership.

Skills

AI experience

APIs

Cloud platforms

Cross-functional collaboration

Executive communication

Education

MBA or advanced degree in CS/Engineering/Data Science

Tools

MLflow

Kubeflow

SageMaker

Azure Machine Learning

Job description

Marsh is seeking a Technology Delivery Lead to own the end-to-end product strategy, roadmap, and execution for AI-enabled solutions within our enterprise technology portfolio. You will partner with engineers, architects, and business stakeholders to translate needs into deliverable AI capabilities and measurable business outcomes.

This role requires 5–8+ years in technology product management or delivery leadership, with AI, ML, data-intensive products, and cloud experience (AWS/Azure/GCP).