Data Product Owner, Claims

Join our dynamic Marsh Data Services (MDS) team as a Data Product Owner, where you will play a pivotal role in delivering data capabilities and assets for analytics and operational use cases across the firm.
This is an exciting opportunity to work at the intersection of business, operations, and technology, ensuring that our systems adhere to industry best practices while meeting complex business requirements.
This is a hybrid role based in Chicago, IL or New York City, NY.
Data Product Owner, Claims We will count on you to:

Own and manage a domain-specific program of work (claims) to deliver data capabilities and assets.
Drive solutions for data integration, standardization, governance, and curation from Marsh's global operational systems.
Establish feature development and use cases on Marsh's new data and analytics platform, communicating progress to senior management and stakeholders.
Liaise with business and operations leadership to align on user needs, use cases, and priorities for the data and analytics platform buildout.
Collaborate with Regional Data Leaders to ensure global data use cases are understood and actioned, while sharing best practices across MMC businesses.
What you need to have:

10+ years of experience in a data and analytics organization, ideally in a consultative role with a proven track record of solving data problems in various environments.
Extensive experience in architecting and implementing data and analytics solutions for complex, enterprise organizations, with domain expertise in data management and governance.
Strong understanding of data transformation and management concepts, with the ability to decompose use cases into actionable parts.
Exceptional written and verbal communication skills, with proficiency in traditional and software lifecycle tools (e.g., Office, Azure Dev Ops).
Proven stakeholder management skills, transforming high-level requirements into specific data quality initiatives.
What makes you stand out:

Experience in a multi-cultural and multi-site environment, with a strong willingness to learn and engage deeply with new domains.
Familiarity with Agile methodology and understanding of the insurance and brokerage industry, particularly claims data challenges.
Creative problem-solving skills, with the ability to think outside the box to address complex issues.
Experience with Databricks, including medallion architecture and integration patterns, as well as knowledge of Data Governance concepts and approaches.
Why join our team:

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 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.
Marsh, a business of Marsh McLennan (NYSE:
MMC), is the world's top insurance broker and risk advisor.
For more information, visit marsh.com, or follow on LinkedIn and X.
Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment.
We aim to attract and retain the best people and embrace diversity of 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, veteran status (including protected veterans), or any other characteristic protected by applicable law.
If you have a need that requires accommodation, please let us know by contacting ***.
Marsh McLennan 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 McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week.
The applicable base salary range for this role is $128,200 to $273,100.
The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements.
Decisions will be determined on a case-by-case basis.
In addition to the base salary, this position may be eligible for performance-based incentives.
We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.
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