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Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Technology Delivery Lead - Enterprise AI

Technical Product ManagementPosted on Nov 10
Full-timeNo salary listedHybrid

About the Job

Requirements

  • 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 application programming interfaces, 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.

Responsibilities

  • 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, application programming interfaces, 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.

Desired Qualifications

  • 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 & McLennan

Brokers insurance and runs risk and HR consulting

Marsh & McLennan Companies, which operates under the Marsh brand, is an insurance broker and consulting group serving businesses, governments and institutions worldwide. Its Marsh Risk unit arranges property, casualty, cyber and employee-benefit coverage, while Guy Carpenter places reinsurance for insurers. Mercer advises employers on pay, benefits, retirement and investments, and Oliver Wyman, Lippincott and NERA handle strategy, brand and economic consulting. Brokers earn commissions and fees from placing coverage, and consultants bill client fees or charge fees based on assets or plan members. The company traces its roots to 1871 and is headquartered in New York City.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
New York, NY
Founded
1871

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