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Senior Data Product Manager
EVERFI
- New York, New York, United States
- New York, New York, United States
Über
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
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Sprachkenntnisse
- English
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