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)

• Senior Data Product Manager Responsibilities
• Data Product Roadmap Ownership
• Own and maintain the 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