Hiring.Camp

Technology Delivery Lead @MarshTech

Mmc

·

3 days ago

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Location
Cluj-Napoca - Decembrie, Romania
Workplace
Hybrid
Type
Full-time
Department
IT
Seniority
Lead
Experience
5+ years
Education
Master
Source
Workday

Description

Company:

Marsh

Description:

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.

 

We will count on you to:


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, 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 - 7 years of experience as a Technology Product Manager or Technology Delivery Lead, with 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.
  • Plus: Knowledge of MLOps tooling (MLflow, Kubeflow, SageMaker, Azure ML, or equivalent).

 

Why join our team:

 

  • Work in an environment that empowers individuals to reach their full potential, fostering personal and professional growth
  • We help you be your best through professional development opportunities, interesting work, and supportive leaders;
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact for colleagues, clients, and communities;
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being;
  • A yearly budget and the opportunity to build your flexible benefits package (up to 20% of your annual salary);
  • 30+ days off (including legal days, birthday, public holiday replacements, and benefits options);
  • Performance bonus scheme;
  • Matching charity contributions, charity days off, and the Pay it Forward charity challenge;
  • Core benefits: Pension, Life and Medical Insurance, Meal Vouchers, Travel Insurance

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.

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, or any other characteristic protected by applicable law.

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.

Skills

AWSAzureGCPNLPComputer VisionData ScienceRisk ManagementProgram Management

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