Full-Time

Senior Data Product Specialist

Confirmed live in the last 24 hours

Marsh & McLennan

Marsh & McLennan

Compensation Overview

$97k - $206.6kAnnually

+ Performance-based incentives

Senior, Expert

Company Does Not Provide H1B Sponsorship

Chicago, IL, USA

This is a hybrid role that requires working at least three days a week in the office.

Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Databricks
Data Analysis
Requirements
  • Minimum of 8 years of experience working in a data and analytics organization as a data architecture and engineer, ideally in a consultative role with experience solving data problems using different approaches in various environments.
  • Extensive experience architecting and/or implementing data and analytics solutions for complex, enterprise organizations, with domain expertise in data management and governance.
  • Experience with Databricks (e.g., medallion architecture, unity catalog, integration patterns)
  • Exceptional written and verbal communication skills leveraging both traditional (e.g. Office; Teams) tools as well as software lifecycle tools (e.g. Azure Dev Ops)
  • Exceptional stakeholders management skills, being able to transform high level requirements into very specific data quality initiatives.
Responsibilities
  • Drive feature development and use cases on Marsh’s new data and analytics platform.
  • Communicate the data and analytics platform approach and progress within various business domains (e.g., claims, policy management, fiduciary).
  • Develop and communicate best practices for utilizing the data and analytics platform throughout Marsh (e.g., data governance, creation of curated data, sourcing and consumption).
  • Liaise with business and operations leadership to establish a common understanding of users, use cases, status, and priorities for the new data and analytics platform buildout.
  • Drive understanding of relevant initiatives that could improve data platform usage within a region, application, or business domain (e.g., integration of standard reference data).
  • Liaise with transformation office and program management constituents, create content and presentations necessary to surface MDS data and analytics platform activities.
  • Interface with operations and business leaders, value stream leaders, and regional teams to surface data and analytics platform requirements and features.
  • Collaborate with Regional Data Leaders and their teams to ensure that global data use cases are effectively utilizing the data platform when applicable and adhering to data and analytics platform standards.
  • Collaborate with peers in other MMC businesses to share best practices, frameworks and tools.
Desired Qualifications
  • Experience in a multi-cultural and multi-site environment.
  • Familiarity with Agile methodology preferred.
  • A strong willingness to learn a new domain, diving into its deepest details and being hands-on.
  • Ability and willingness to collaborate at all levels of a global organization to ensure the successful implementation of change.

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