Data Product Manager II

MAPFRE

$90K — $130K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related discipline; Master's preferred.
  • 5+ years in Data Product Management, Analytics, or Data Engineering roles.
  • Experience with enterprise-scale data solutions, including governance and quality management.
  • Proven ability to collaborate effectively with business and technical teams.
  • Skilled in managing multiple priorities in dynamic environments.

Responsibilities

  • Develop and maintain a strategic roadmap for data products.
  • Define product outcomes, KPIs, and success metrics to align with business goals.
  • Identify new data product opportunities that enhance customer experience and operational efficiency.
  • Establish trusted relationships with business leaders and technology teams.
  • Manage the backlog of data products and oversee their development lifecycle.
  • Ensure data compliance with governance standards and improve product quality.
  • Analyze business processes to track product performance and communicate metrics to leadership.

Benefits

  • Opportunities for professional development and growth.
  • A collaborative work environment with cross-functional teams.
  • Flexible work arrangements to support work-life balance.
  • Access to advanced data tools and technologies for product development.
Full Job Description
Summary:

This role serves as the bridge between business stakeholders, data governance, analytics teams, and data engineering. The Data Product Manager owns the roadmap, requirements, adoption, and measurable business outcomes for one or more enterprise data domains such as Customer (Party 360), Policy, Claims, Billing, Finance, Agency, or Pricing.

The successful candidate will ensure data products are trusted, discoverable, reusable, governed, and aligned with Mapfre's strategic objectives.

Responsibilities:

Data Product Strategy & Roadmap
  • Develop and maintain a multi-year roadmap for assigned data products.
  • Define product, outcomes, KPIs, and success metrics.
  • Identify opportunities to create new data products that improve customer experience, operational efficiency, business performance.
  • Align data product priorities with enterprise strategic initiatives.


Stakeholder Management
  • Establish trusted partnerships with business leaders, data owners, data stewards, and technology teams.
  • Serve as the primary point of contact for the business domain supported.
  • Facilitate prioritization discussions and balance competing demands across stakeholders.
  • Translate complex business requirements into actionable data product capabilities and delivery plans.


Product Ownership & Delivery
  • Own and manage the data product backlog.
  • Define epics, features, user stories, business rules, acceptance criteria, and success metrics.
  • Work closely with Data Engineers, Architects, BI Developers, and Governance teams throughout the development lifecycle.
  • Drive delivery of Minimum Viable Products (MVPs) and iterative enhancements.
  • Support Agile planning, sprint reviews, and release activities.


Data Governance & Quality
  • Ensure compliance with MAPFRE data governance standards.
  • Partner with Data Owners and Data Stewards to define:
    • Critical Data Elements
    • Business Glossaries
    • Data Quality Rules
    • Metadata Standards
    • Data Lineage Requirements
  • Champion governance-by-design principles.
  • Monitor and improve the quality, completeness, consistency, and trustworthiness of assigned data products.


Business Analysis & Value Realization
  • Perform deep analysis of business processes, data flows, and operational challenges.
  • Define measurable outcomes and business value realization plans.
  • Track adoption, usage, quality metrics, and product performance.
  • Regularly communicate product health, risks, and accomplishments to leadership.


Data Product Lifecycle Management
  • Manage the lifecycle of enterprise data products from ideation through retirement.
  • Ensure products remain documented, certified, discoverable, governed, and reusable.
  • Drive continuous improvement through stakeholder feedback and operational metrics.
  • Promote standardization, automation, scalability, and operational excellence.


Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Administration, Engineering, or related discipline. Master's degree preferred.
  • 5+ years of Data Product Management, Product Management, Business Analysis, Data Governance, Analytics, or Data Engineering experience.
  • Experience delivering enterprise-scale data and analytics solutions.
  • Demonstrated success working with both business and technical teams.
  • Experience managing multiple priorities in a fast-paced environment.


Technical Knowledge
  • Strong understanding of:
    • Data Warehousing
    • Data Modeling
    • Master Data Management (MDM)
    • Data Governance
    • Data Quality Management
    • Data Catalogs and Metadata
    • Cloud Data Platforms
    • Data Pipelines and ETL/ELT Processes
    • Agile Delivery Methodologies
  • Preferred experience:
    • Snowflake
    • AWS
    • Power BI
    • SQL
    • DataOps
    • Informatica, Tamr, Reltio, or other MDM platforms
    • Property & Casualty Insurance data domain


Pay Philosophy: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.

Salary Range

$90,000 - $130,000

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