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Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Technology Delivery Lead

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeCluj-Napoca, RomaniaNo salary listed

About the Job

Requirements

  • Five to seven years of experience as a Technology Product Manager or Technology Delivery Lead, including at least two years 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 of 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.
  • Strong written and verbal communication skills and ability to influence across organizational levels.

Responsibilities

  • Partner with stakeholders to define and drive product vision, strategy, and multi-quarter roadmaps aligned with business and portfolio priorities.
  • Identify trends and internal capability gaps to inform product direction from a technical perspective.
  • Translate organizational goals into actionable delivery items with success metrics and business outcomes.
  • Serve as the technical voice of the product, understanding model development, data pipelines, APIs, AI infrastructure, and traditional principles.
  • 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 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 transparently and urgently.
  • Review vendor deliverables for quality, accuracy, maintainability, and alignment with standards; ensure evidence-based progress reporting.
  • Define and track KPIs, OKRs, and product health metrics, using data for prioritization and continuous improvement.
  • Partner with stakeholders to track adoption and outcomes and adjust direction 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 large organizations.
  • 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 advanced degree in Computer Science, Engineering, or a related technical field.
  • Knowledge of MLOps tools 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

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