Product Manager, Data Analytics Platform

Role Overview

• Assist with crafting compelling strategy briefs, business cases, and product roadmaps to justify investments in analytics platforms, data products, and insight capabilities aligned with BigFuture’s divisional goals.
• Lead the full analytics product lifecycle—from ideation and development of new datasets, dashboards, and analytical tools to enhancements and responsible sunsetting of legacy reports and pipelines.
• Identify and validate stakeholder needs and analytical opportunities through data exploration, user research, and usage analytics; ensure business and analyst needs are integrated into solution design.
• Partner with business stakeholders, data analysts, and data scientists to translate key questions into analytics requirements, metrics definitions, and success criteria.
• Collaborate with cross-functional teams to refine the analytics roadmap in response to evolving business priorities, data maturity, and platform capabilities.
• Clearly communicate analytics product strategy, roadmap, and insights across teams to drive alignment and informed decision-making.
• Partner with cross-functional teams to support analytics launches through training, enablement materials, documentation, and adoption strategies.
• Maintain strong domain knowledge while serving as a subject matter expert on BigFuture’s analytics capabilities, data assets, and measurement strategy.
• Break down analytics initiatives into clear user stories and requirements—such as datasets, metrics, dashboards, and self-service tools—with well-defined acceptance criteria.
• Partner closely with data engineering and technology teams to design and deliver scalable analytics solutions, including ETL pipelines, data models, and semantic layers.
• Support and enable business analysts and data analysts by ensuring analytics tools, datasets, and documentation meet their needs for efficient insight generation.
• Maintain a prioritized backlog of analytics work, balancing business value, technical complexity, data quality, and strategic objectives.
• Drive delivery through active participation in Agile ceremonies—refinement, sprint planning, stand-ups, demos, and retrospectives—fostering continuous improvement and alignment.
• Monitor analytics initiatives to identify risks related to data quality, performance, or adoption, and proactively resolve blockers.
• Coordinate complex technical, legal, and data dependencies across teams to ensure reliable and compliant analytics delivery.
• Continuously evaluate analytics product performance through usage data, feedback, and outcome metrics to ensure insights drive measurable impact.

Requirements

• 5+ years of experience in Product Management, with a strong focus on analytics, data products, or insight platforms
• Hands-on familiarity with analytics technologies and workflows, including SQL, Python, BI tools, and modern data platforms
• Experience working with ETL processes, data pipelines, and data models to support analytics and reporting use cases
• A strong understanding of metrics design, data quality, and governance, with the ability to partner effectively with data engineers, analysts, and legal teams
• Exceptional attention to detail, ensuring insights are accurate, well-defined, and trusted by stakeholders
• Experience in K-12, Higher Ed, or educational technology is a strong plus, but not required
• A proactive, ownership-first mindset; you take initiative, solve problems, and drive outcomes with accountability
• Hands-on experience working in an Agile product development environment with cross-functional teams
• A customer
• and stakeholder-centric approach, with strong learning agility and adaptability
• Strong analytical skills, combining quantitative analysis with qualitative insight to define problems and craft effective solutions
• A proven track record of building trusted, productive relationships with business, analytics, and technology partners
• Exceptional verbal and written communication skills, with the ability to clearly explain analytical concepts to technical and non-technical audiences
• The ability to travel 5–6 times a year to College Board offices or on behalf of College Board business

Tech Stack

• ETL
• Python
• SQL

Benefits

• Annual bonuses and opportunities for merit-based raises and promotions
• A mission-driven workplace where your impact matters
• A team that invests in your development and success