Associate Director, Data Product Management

Blue Cross Blue Shield of Massachusetts•Boston, MA

21h

About The Position

The Associate Director of Data Product Management leads a team of product owners and data analysts and drives the strategy and execution of enterprise data products. The role matures the data-as-a-product mindset, ensuring data assets are valuable, reusable, and trusted products that support business decisions, analytics, and AI applications, including data AI agents. It contributes to the company’s Data for AI and AI for Data strategy by ensuring reliable data supports AI innovation and using AI to enhance data management capabilities. In collaboration with business partners, engineering teams, and data governance, the Associate Director defines, prioritizes, and delivers a roadmap of data capabilities. The role covers the full scope of data product management, including defining business value, establishing quality SLAs, managing the product lifecycle, and driving adoption across user communities. The position is eligible for the Flex Persona for candidates local to the Boston and Hingham, Massachusetts offices. The role leads the Data Product Management team’s strategy and vision, aligns the data product roadmap with enterprise goals, and defines product strategy for advanced data capabilities, including AI-driven data products and AI data agents as products. It leads and mentors product owners, oversees team backlogs and delivery, establishes prioritization and product-readiness criteria, and serves as an escalation point for the team. The position is based in Boston and is full time.

Requirements

At least 8 years of progressive experience in data management, product management, or a related field, focused on data, digital, or API products.
At least 4 years of experience leading and mentoring teams of product managers, product owners, or analysts.
Ability to synthesize complex operational concepts into high-impact business insights and collaborate directly with senior leadership to support strategic alignment and decision-making.
Proven experience designing, developing, and managing products through all lifecycle phases, from ideation to decommissioning.
Expertise in agile delivery frameworks and tools, such as Jira and Confluence.
Deep understanding of data governance, data quality, and metadata management principles.
Strong experience working with SQL or NoSQL databases and understanding modern data architecture, such as data lakes, data warehouses, and microservices.
Excellent verbal and written communication skills, including the ability to explain complex technical concepts to business and technical audiences.
Bachelor’s degree or higher in Computer Science or Information Systems; the posting also states a minimum education requirement of a high school degree or equivalent unless otherwise noted above.

Nice To Haves

Exposure to AI concepts related to building Data AI agents and AI SDLC.
Healthcare domain knowledge.
Scrum Product Owner or similar agile certification.
Experience defining and delivering products using agile frameworks.

Responsibilities

Lead and oversee the development and delivery of data products using product management principles and an agile framework.
Drive the Data Product Management team’s strategy and vision, aligning the data product roadmap with enterprise goals and market trends and customer needs.
Define and execute product strategy for advanced data capabilities, including AI-driven data products and AI data agents as products.
Promote the value of data products to increase adoption and support a data-driven culture across business and user communities.
Lead, coach, and mentor a team of Product Owners, including those focused on user support and communications.
Mentor junior data product owners in agile processes for building and delivering high-quality data products.
Own and serve as the escalation point for the data product management team, resolving blockers and addressing issues.
Drive product vision, identification of business value, road-mapping, and delivery of data products across applications and platforms.
Establish and enforce prioritization criteria for data and AI initiatives based on business value, feasibility, reusability, and compliance risk.
Define entry and exit criteria for data products, ensuring recurring business value, designated ownership, and enterprise-ready quality, lineage, and documentation.
Manage the team backlog, define epics and user stories, and ensure visibility for business partners and leadership.