Senior Data Product Manager
EVERFI
•Remote
About The Position
The Senior Data Product Manager will 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. This role involves prioritizing features based on customer value, business impact, and technical feasibility, and managing the entire product lifecycle from discovery through delivery and post-launch iteration. The position requires close collaboration with engineering, data science, UX, product marketing, and commercial stakeholders to translate complex data capabilities into clear customer value propositions and to champion data quality, integrity, and privacy compliance.
Requirements
- 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 working in agile development methodologies and managing engineering backlogs
- 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
- 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
Nice To Haves
- Experience in B2B or B2B2C EdTech, HRTech, or enterprise SaaS environments preferred
Responsibilities
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Benefits
- Corporate Bonus Plan
- Health, Dental, and Vision insurance
- 401(K) with matching contribution
- Generous Paid Time Off (PTO)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
