
Product Manager, Data Analytics Platform
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Job overview
The Product Manager, Data Analytics Platform leads product vision, prioritization, and execution for BigFuture’s analytics platform, datasets, and reporting capabilities. The role translates business questions into analytical requirements and scalable solutions, enabling stakeholders to generate insights and make decisions. It partners with Analytics, Legal, Data Engineering, Product, and business teams to align roadmaps and ensure data is accessible, reliable, secure, and responsibly used.
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Full job description
College Board - BigFuture Location: This is a remote role, aligned to working core EST hours. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office). All CB employees are required to occasionally travel to meet in person for business purposes. Role Type: This is a full-time position About the Team BigFuture reaches over 7 million students each year and is the leading free online resource for College, Scholarship, and Career Exploration. Our BigFuture product team is committed to helping every student own their future. BigFuture consists of three integrated product offerings that serve both students and higher education institutions: BigFuture.org provides students and families with tools to explore colleges, discover scholarships, understand how to pay for college, and learn about career pathways. It empowers all students to unlock opportunities that match their aspirations and financial needs. BigFuture School is a privacy-forward mobile app that supports students and educators at participating K-12 schools in making critical connections between students' unique strengths and interests and future pathway opportunities. Students can connect with over 1,500 higher education institutions and receive messages tailored to their interests and goals-putting them in the driver's seat of their journey. College Enrollment Solutions enable higher education institutions to authentically engage in student relevant recruitment efforts to advance college access. Through tools like Search and Connections, colleges can discover and reach a broad population of students from more than 25,000 high schools nationwide. BigFuture has a 50-person core team and collaborates deeply with other divisions including Technology, Research, College Readiness Assessments, Strategic Higher Education, State & District Partnerships, Engagement and Reach, Legal, and Finance. About the Opportunity As Product Manager, Data Analytics Platform, you are a strategic and detail-oriented product leader who translates complex business questions into clear analytical requirements and scalable solutions. You bring deep experience building and managing analytics products, data structures, and self-service capabilities that empower business users, analysts, and data teams to explore data, generate insights, and make informed decisions. You maintain a high bar for documentation, data quality, and measurement standards so insights are trusted, actionable, and consistently applied. In this role, you will lead the product vision, prioritization, and execution for the BigFuture analytics platform, datasets, and reporting capabilities that enable insight generation, performance measurement, and strategic decision-making across multiple stakeholders. You drive alignment on analytics priorities and roadmaps, balancing near-term insight delivery with long-term platform investments. Working cross-functionally with Analytics, Legal, Data Engineering, and Product teams, you ensure data is accessible, reliable, secure, and responsibly used. You lead with clarity and accountability, enabling teams to fully leverage data while understanding both the power and limitations of analytics. In this role, you will: Planning & Roadmap Development (50%) 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 t transla
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