Technology Delivery Lead - Enterprise AI

Marsh McLennanDublin, LeinsterHybridFull-timeSenior, 5–8 yearsListed 4 hours ago

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About this role

## Company:
Marsh
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Description:

About the Role:

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.

What You Can Expect:

The Role:

- End-to-end ownership of product strategy, roadmap, and delivery for AI-enabled solutions.
- Partnership with engineers, architects, and business stakeholders to translate needs into innovative capabilities.
- Highly visible, cross-functional position with both technical depth and strategic responsibility.
- Hybrid working arrangement.

Day-to-Day:

- Partnering with stakeholders to define product vision and multi-quarter roadmap.
- Translating organizational goals into actionable delivery items with clear success metrics.
- Serving as the technical voice of the product — understanding model development, data pipelines, APIs, and AI infrastructure.
- Driving responsible AI practices across the product lifecycle.
- Identifying risks, dependencies, and impediments; escalating and resolving with urgency.
- Defining and tracking KPIs, OKRs, and product health metrics.
- Presenting product outcomes and roadmap updates to executive leadership.

What You'll Own:

- Product vision, strategy, and delivery cadence for AI initiatives.

- Quality across cross-functional teams and trade-off decisions for delivery.

- Vendor deliverable reviews and evidence-based progress reporting.

- Relationships with senior business stakeholders.

- Adoption metrics and business outcomes steering.

Key Responsibilities:

- Product Strategy & Roadmap.
- Partner closely with stakeholders to define and drive the product vision, strategy, and multi-quarter roadmap for initiatives aligned to business and portfolio priorities.
- Help identify trends and internal capability gaps to inform product direction from a technical perspective.
- Translate high-level organizational goals into actionable, delivery items with clear success metrics and business outcomes.

Technical Leadership

- Serve as the technical voice of the product — deeply understand model development, data pipelines, APIs, and AI infrastructure, as well as basic traditional principles.
- Partner with engineers and architects to evaluate feasibility, define technical requirements, and make build-vs-buy-vs-partner decisions.
- Drive responsible AI practices including model traceability, bias/fairness, privacy, and governance into the product lifecycle.
- Drive quality across cross-functional teams and have the right level of decision making to determine trade-offs for delivery.
- Drive rapid AI POCs to validate feasibility and value, including problem framing, data readiness assessment, evaluation approach, and next-step recommendations.

Stakeholder Management & Delivery

- Own relationships with senior business stakeholders, translating complex AI concepts into clear value propositions and business cases with the proper level of communication.

- Maintain delivery cadence across cross-functional squads.

- Proactively identify risks, dependencies, and impediments — escalate and resolve with urgency and transparency.

- Review vendor deliverables for quality, accuracy, maintainability, and alignment with standards; ensure evidence-based progress reporting.

Metrics & Outcomes

- Define and track KPIs, OKRs, and product health metrics; use data to drive prioritization and continuous improvement.
- Partner with stakeholders to track adoption and outcomes with the ability to steer as needed.
- Present product outcomes and roadmap updates to executive and portfolio leadership.

What You Need to Have:

- 5+ years of experience as a Technology Product Manager or Technology Delivery Lead
- At least 2+ years working on AI, ML, or data-intensive products
- Demonstrated ability to define and execute product strategy in complex, fast-moving, and cross-functional technology environments
- Strong technical foundation: proficiency in understanding APIs, cloud platforms (AWS, Azure, or GCP), data architecture, system design
- Experience working directly with architects and engineers in an agile product environment
- Proven track record of delivering enterprise-grade software products from concept through launch and iteration
- Exceptional written and verbal communication skills; ability to influence without authority across all levels of the organization

What Makes You Stand Out:

- Experience within a portfolio delivery or program management office structure in large organizations
- Familiarity with LLMs, generative AI, NLP, 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 tooling (MLflow, Kubeflow, SageMaker, Azure ML, or equivalent)

Why Join This Team:

- Work on cutting-edge AI solutions with meaningful business impact.
- Partner with talented engineers, architects, and business leaders.
- High autonomy with clear strategic direction.
- Opportunity to shape responsible AI practices at scale.
- Professional growth in a dynamic, fast-moving organization.

#MMCIC

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.
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Marsh is committed to providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at [email protected] to discuss any specific needs.
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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 “anchor day” per week on which their full team will be together in person.
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