Technology Delivery Lead, Enterprise AI

Marsh & McLennan
Kansas City, MO, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computer Vision Microsoft Azure Cloud Computing Data Architecture Machine Learning Natural Language Processing Azure Machine Learning Software Engineering Systems Architecture
+9 more
AI Infrastructure Google Cloud Large Language Models Generative AI Kubernetes Information Technology Machine Learning Operations Data Pipelines Programming Languages

Job description

We are seeking a Technology Delivery Lead to join our AI Program, embedded within a dynamic technology portfolio delivery organization. In this role, you will own the end-to-end product strategy, roadmap, and execution for solutions that drive meaningful business outcomes across the enterprise.

You will partner closely with Technology teams (engineers, architects, analysts) and business stakeholders to translate business needs into innovative AI capabilities within well-defined, deliverable products. This is a highly visible, cross-functional role that demands both technical depth and strategic business acumen.

We will count on you to:

  • Define and drive the product vision, strategy, and multi-quarter roadmap in partnership with business, technology, and portfolio stakeholders.
  • Translate organizational goals into actionable product requirements, delivery plans, success metrics, and measurable business outcomes.
  • Serve as the technical voice of the product, partnering with engineers and architects across model development, data pipelines, APIs, cloud platforms, and AI infrastructure.
  • Lead rapid AI proof-of-concepts by framing business problems, assessing data readiness, defining evaluation approaches, and recommending next steps.
  • Drive delivery across cross-functional teams by managing risks, dependencies, trade-offs, vendor deliverables, and delivery cadence.
  • Embed responsible AI practices-including model traceability, privacy, bias and fairness, quality, and governance-throughout the product lifecycle.
  • Build strong relationships with senior stakeholders by translating complex technical and AI concepts into clear value propositions and business cases.
  • Define and monitor KPIs, OKRs, adoption measures, and product health metrics; use insights to guide prioritization and continuous improvement.
  • Present product outcomes, progress, and roadmap updates to executive and portfolio leadership., * We help you be your best through professional development opportunities, interesting work and supportive leaders.
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Requirements

Technical Delivery, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Product Strategy, Technical Delivery, Embedded Systems, Product Planning, Business Skills, Artificial Intelligence (AI), Cross-Functional, * 5-8+ years of experience as a Technology Product Manager, Technology Delivery Lead, or similar role, including at least two years working with AI, machine learning, or data-intensive products.

  • Demonstrated success defining and executing product strategy in complex, fast-moving, cross-functional technology environments.
  • Strong technical foundation, including an understanding of APIs, cloud platforms such as AWS, Azure, or GCP, data architecture, and system design.
  • Experience partnering directly with engineers, architects, and other technical teams in an agile product development environment.
  • Proven ability to deliver enterprise-grade software products from concept through launch, adoption, and ongoing iteration.
  • Exceptional written and verbal communication skills, with the ability to influence stakeholders and drive decisions without direct authority.

What makes you stand out:

  • Experience working within a portfolio delivery, program management office, or similar structure in a large organization.
  • Familiarity with large language models, generative AI, natural language processing, computer vision, or other advanced AI technologies.
  • Background in software engineering, data science, systems architecture, or a related technical discipline.
  • Experience with enterprise AI governance, model risk management, responsible AI frameworks, or related controls.
  • Experience with MLOps tools and platforms such as MLflow, Kubeflow, Amazon SageMaker, Azure Machine Learning, or equivalent solutions.
  • An MBA or advanced degree in computer science, engineering, data science, or a related technical field.

About the company

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X., Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one β€œanchor day” per week on which their full team will be together in person.

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