Technology Delivery Lead, Enterprise AI

Marsh McLennan•St. Louis, MO

1d•Hybrid

About The Position

Marsh is seeking a Technology Delivery Lead to join its AI Program within a technology portfolio delivery organization. The role owns end-to-end product strategy, roadmap, and execution for enterprise solutions intended to produce meaningful business outcomes. It partners with technology teams and business stakeholders to turn business needs into deliverable AI products and capabilities. This highly visible, cross-functional position combines technical depth with strategic business acumen. The Technology Delivery Lead serves as the product’s technical voice across model development, data pipelines, APIs, cloud platforms, and AI infrastructure, while guiding delivery, stakeholder alignment, measurement, and responsible AI practices throughout the product lifecycle. Marsh describes its culture as inclusive and supportive, with professional development opportunities, interesting work, and a range of career opportunities and benefits. The role follows Marsh’s hybrid work model: colleagues are expected to work from their local office or onsite with clients at least three days per week. Office-based teams identify at least one weekly anchor day for the full team to work together in person.

Requirements

5–8+ years of experience as a Technology Product Manager, Technology Delivery Lead, or in a 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 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, including the ability to influence stakeholders and drive decisions without direct authority.

Nice To Haves

Experience 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.

Responsibilities

Define and drive the product vision, strategy, and multi-quarter roadmap with business, technology, and portfolio stakeholders.
Translate organizational goals into product requirements, delivery plans, success metrics, and measurable business outcomes.
Serve as the product’s technical voice, partnering with engineers and architects on model development, data pipelines, APIs, cloud platforms, and AI infrastructure.
Lead rapid AI proofs of concept by framing business problems, assessing data readiness, defining evaluation approaches, and recommending next steps.
Drive cross-functional delivery 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 relationships with senior stakeholders and translate 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.