M

Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Technology Delivery Lead - Enterprise AI

Technical Product ManagementPosted on Nov 12
Full-timeDublin, IrelandNo salary listed

About the Job

Requirements

  • At least 5 years of experience as a Technology Product Manager or Technology Delivery Lead.
  • At least 2 years of experience working on AI, machine-learning, or data-intensive products.
  • Ability to define and execute product strategy in complex, fast-moving, cross-functional technology environments.
  • Strong technical foundation, including understanding APIs, cloud platforms such as AWS, Azure, or GCP, data architecture, and system design.
  • Experience working directly with architects and engineers in an agile product environment.
  • Track record of delivering enterprise-grade software products from concept through launch and iteration.
  • Ability to communicate in writing and verbally and influence across all organizational levels without authority.

Responsibilities

  • Own end-to-end product strategy, roadmap, and delivery for AI-enabled solutions.
  • Partner with technology teams and business stakeholders to translate business needs into AI capabilities and deliverable products.
  • Define product vision and a multi-quarter roadmap with stakeholders.
  • Translate organizational goals into actionable delivery items with clear success metrics and business outcomes.
  • Serve as the technical voice of the product by understanding model development, data pipelines, APIs, and AI infrastructure.
  • Partner with engineers and architects to evaluate feasibility, define technical requirements, and make build-versus-buy-versus-partner decisions.
  • Drive responsible AI practices, including model traceability, bias and fairness, privacy, and governance, throughout the product lifecycle.
  • Drive quality across cross-functional teams and make delivery trade-off decisions.
  • Drive rapid AI proofs of concept to validate feasibility and value, including problem framing, data readiness assessment, evaluation approach, and next-step recommendations.
  • Own relationships with senior business stakeholders and translate complex AI concepts into value propositions and business cases.
  • Maintain delivery cadence across cross-functional squads.
  • Identify risks, dependencies, and impediments, and escalate and resolve them with urgency and transparency.
  • Review vendor deliverables for quality, accuracy, maintainability, and standards alignment, and ensure evidence-based progress reporting.
  • Define and track KPIs, OKRs, and product health metrics; use data to drive prioritization and continuous improvement.
  • Track adoption and outcomes with stakeholders and steer as needed.
  • Present product outcomes and roadmap updates to executive and portfolio leadership.

Desired Qualifications

  • Experience within a portfolio delivery or program management office structure in a large organization.
  • Familiarity with LLMs, generative AI, natural language processing, or computer vision product development.
  • Background in software engineering, data science, or systems architecture.
  • Experience with enterprise AI governance, model risk management, or responsible AI frameworks.
  • MBA or an advanced degree in Computer Science, Engineering, or a related technical field.
  • Knowledge of MLOps tooling such as MLflow, Kubeflow, SageMaker, or Azure ML.

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

Recently Posted Jobs

Explore more opportunities at Marsh & McLennan

See more jobs