Senior Data Product Manager

Everfi is a leading education technology company founded in 2008 that delivers digital learning solutions focused on real-world skills. The company provides scalable education in areas such as financial literacy, health and wellness, and workplace readiness. We are seeking a Senior Data Product Manager to drive the development and continuous improvement of our data platform features and data product portfolio. Working within a product strategy defined by senior leadership, this role translates customer needs, market insights, and platform capabilities into a clear, prioritized roadmap — and sees that roadmap through to delivery. Senior Data Product Manager Compensation and Benefits $130,000- $150,000 annual base salary depending on experience and education. Everfi may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations. This role is eligible to participate in the Corporate Bonus Plan. 100% Remote position. Health, Dental, and Vision insurance. 401(K) with matching contribution. Generous Paid Time Off (PTO). Data Product Roadmap Ownership Own and maintainthe product roadmap and backlog for one or more data product areas — such as learner analytics, outcomes reporting, or institutional intelligence tools Prioritize features and enhancements based on customer value, business impact, and technical feasibility, with a clear orientation toward outcomes over output Actively manage sprint planning, release coordination, and post-launch measurement in partnership with engineering leads Customer and Market Research Conduct ongoing customer discovery, user research, and competitive analysis to deepen understanding of the needs of institutional buyers, learning administrators, and learners Synthesize research findings into actionable product requirements and user stories Support assessment of product-market fit for new features and data products prior to full investment Product Lifecycle Execution Write clear, detailed user stories, acceptance criteria, and product requirements Coordinate across platform engineering, data science, and UX through all phases of the product lifecycle — from discovery through delivery and post-launch iteration Manage product releases in partnership with engineering and project management Data Platform Feature Development Define and drive the development of data platform features that serve both external customers and internal operational needs Ensure features are built on a well-governed, scalable data architecture and that data pipelines, enrichment, and access controls meet product and regulatory standards Cross-Functional Collaboration Serve as the day-to-day connective tissue between technical data teams and commercial stakeholders, translating complex data capabilities into clear customer value propositions Equip customer success and account management teams with the product knowledge and data insights needed to support and retain customers Go-to-Market Support Partner with product marketing to contribute to messaging, product collateral, and sales enablement materials for data products Support the development of pricing inputs and product positioning in close coordination with marketing and sales leadership Data Governance and Quality Champion data quality, integrity, and privacy compliance (FERPA, GDPR, COPPA where applicable) within your product areas Work closely with data engineering to ensure that data pipelines, cataloging, enrichment, and access controls meet both product requirements and regulatory standards AI-Assisted Product Development Identify opportunities to incorporate AI and machine learning capabilities into product features Work collaboratively with data engineers to scope, validate, and ship AI-driven functionality. Stay current on AI tools and EdTech market developments to inform the product roadmap Senior Data Product Manager Qualifications Bachelor's degree in Computer Science, Data Science, Business, Education Technology, or a related field required At least 5 years of product management experience, with at least 2 years specifically in data products, analytics platforms, or data‑intensive SaaS environments Experience in B2B or B2B2C EdTech, HRTech, or enterprise SaaS environments preferred Experience working in agile development methodologies and managing engineering backlogs Technical Skills Proficiency working with data sets, data pipelines, and data visualization tools (e.g., Tableau, Looker, Power BI) Familiarity with cloud data infrastructure (AWS, Azure, GCP), data warehousing, and API-based product architectures Working understanding of AI/ML concepts as applied to product features Experience with SQL or equivalent querying tools; comfort working directly with data engineers on schema design and data contracts Strategic and Business Skills Ability to build product narratives, gap analyses, requirements, and use cases that connect product decisions to customer and business outcomes Strong ability to translate complex technical information into clear language for diverse audiences including customers, sales, and senior stakeholders #J-18808-Ljbffr