Director of Product Management, Data Products

GEICO GEICO · Insurance · Bethesda, MD

Director of Product Management for Data Products at GEICO, focusing on data strategy, data modeling, data mesh, and driving insights through data products. The role involves leading a product management team and collaborating with data engineering and analytics teams.

What you'd actually do

  1. Develop and execute the product strategy for Data Products, aligning with the company's overall vision and goals
  2. Lead, mentor, and grow a high-performing product management team, fostering a culture of collaboration and continuous improvement.
  3. Collaborate with data engineering, analytics, business stakeholders, and design teams to define requirements and deliver innovative products that provide meaningful business insights.
  4. Drive adoption of data mesh architecture to enable decentralized data ownership and scalable, discoverable data products across the organization.
  5. Champion the creation and governance of canonical data models and semantic layers to ensure consistency, reliability, and trust in analytics outputs.

Skills

Required

  • product management
  • data products
  • data engineering
  • data mesh architecture
  • analytics platforms
  • canonical modeling
  • data governance
  • data modeling
  • data as a product
  • reporting
  • pipeline development
  • metric definitions
  • data definitions
  • data design
  • technical communication
  • collaboration
  • leadership
  • Agile development methodologies
  • Git
  • analytical skills
  • problem-solving skills
  • data-driven decision making
  • Bachelor's degree in Computer Science, Engineering, or a related field

Nice to have

  • cloud-based data platforms
  • data warehousing
  • ETL
  • containerization
  • orchestration tools
  • DevOps practices
  • CI/CD pipelines

What the JD emphasized

  • 10+ years of experience in product management, with a focus on data products, data engineering, or a related field
  • Deep understanding of data mesh architecture, analytics platforms, canonical modeling, and data governance best practices.
  • Proven leadership experience guiding teams in the development and launch of innovative analytics solutions and data products.
  • Strong understanding of data products, data engineering, and data architecture
  • Experience with data modeling, data as a product, reporting, pipeline development, metric definitions, data definitions, and data design