Principal Data Product Manager; Remote

Resp & Qualifications

PURPOSE: Your role involves managing the entire lifecycle of enterprise data products and services to align with company goals. You will lead the strategic direction of data products and coordinate teams of business leaders, data engineers, data architects, data analysts, and data scientists. As a Data Product Manager, you will establish and execute the data product operating model, define the vision and strategy for data products, implement product management processes, and produce roadmaps for high‑quality, high‑performing data products.

You will also deliver data solutions that enhance the analytical experiences of Care First's customers and internal teams.

You create value from the organization's data assets and enable internal/external analytics and insights. This includes developing strategies to achieve business outcomes, drive innovation, and ensure compliance with regulatory, legal, and ethical requirements. You will collaborate with customers, business stakeholders, data architects, data scientists, data engineers, and product owners to build the data foundation for the data product catalog. Your team will gather requirements, write use cases, organize features, implement tools, and establish metrics for managing the data product lifecycle and maintaining a data product catalog or subscription.

• Product Strategy:
  Develop and maintain the Data Product Vision, Strategy, and Roadmap with input from various stakeholders. Define success metrics and strategic priorities, partner on enhancement requests, and prioritize them. Work with customers and internal stakeholders to understand and translate their needs into data platform requirements.
• Product Discovery:
  Utilize enterprise information assets and analytics for decision‑making and regulatory reporting. Lead the development of data and analytics products with Data Directors and Data Product Managers. Oversee deploying the enterprise's data and analytics platform, ensuring quality, traceability, timeliness, usability, and cost‑effectiveness.
• Product Lifecycle Management:
  Collaborate with Data Directors, Data Product Managers, and SMEs to finalize data requirements. Work with the engineering team through planning and iteration.
• Team Leadership:
  Lead a cross‑functional team to achieve departmental, divisional, and enterprise goals.
• Market Research & Competitive Intelligence:
  Promote data capabilities internally and externally. Assess competitors' data offerings and identify market opportunities. Assist with customer communications and scan for emerging data management strategies, tools, and technologies.

Education Level: Bachelor's Degree in Computer Science, Information Technology, or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Experience: 10 years Experience in Architecture Domain.

Preferred Qualifications: Advanced degree.

Knowledge,

Skills and Abilities

(KSAs):

• Ability to motivate and influence others so that project objectives are met in a timely manner.
• Ability to collaborate with stakeholders to develop high quality solutions.
• Ability to coach, delegate, and develop architects and engineers.
• Ability to manage cross-domain architecture solutions and issues.
• Expertise with domain related architecture frameworks, methods and tools.
• Effective organizational, interpersonal/relationship management, analytical, communications (written and verbal) and collaboration.

Salary Range: $152,080 - $271,843

The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited…