Senior Data Product Manager

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 Plan100% Remote position  Health, Dental, and Vision insurance  401(K) with matching contribution  Generous Paid Time Off (PTO) Senior Data Product Manager ResponsibilitiesData Product Roadmap OwnershipOwn and maintain the product roadmap and backlog for one or more data product areas — such as learner analytics, outcomes reporting, or institutional intelligence toolsPrioritize features and enhancements based on customer value, business impact, and technical feasibility, with a clear orientation toward outcomes over outputActively manage sprint planning, release coordination, and post-launch measurement in partnership with engineering leadsCustomer and Market ResearchConduct ongoing customer discovery, user research, and competitive analysis to deepen understanding of the needs of institutional buyers, learning administrators, and learnersSynthesize research findings into actionable product requirements and user storiesSupport assessment of product-market fit for new features and data products prior to full investmentProduct Lifecycle ExecutionWrite clear, detailed user stories, acceptance criteria, and product requirementsCoordinate across platform engineering, data science, and UX through all phases of the product lifecycle — from discovery through delivery and post-launch iterationManage product releases in partnership with engineering and project managementData Platform Feature DevelopmentDefine and drive the development of data platform features that serve both external customers and internal operational needsEnsure features are built on a well-governed, scalable data architecture and that data pipelines, enrichment, and access controls meet product and regulatory standardsCross-Functional CollaborationServe as the day-to-day connective tissue between technical data teams and commercial stakeholders, translating complex data capabilities into clear customer value propositionsEquip customer success and account management teams with the product knowledge and data insights needed to support and retain customersGo-to-Market SupportPartner with product marketing to contribute to messaging, product collateral, and sales enablement materials for data productsSupport the development of pricing inputs and product positioning in close coordination with marketing and sales leadershipData Governance and QualityChampion data quality, integrity, and privacy compliance (FERPA, GDPR, COPPA where applicable) within your product areasWork closely with data engineering to ensure that data pipelines, cataloging, enrichment, and access controls meet both product requirements and regulatory standardsAI-Assisted Product DevelopmentIdentify 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 roadmapSenior Data Product Manager QualificationsBachelor's degree in Computer Science, Data Science, Business, Education Technology, or a related field requiredAt 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 preferredExperience working in agile development methodologies and managing engineering backlogs Technical SkillsProficiency 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 architecturesWorking understanding of AI/ML concepts as applied to product featuresExperience with SQL or equivalent querying tools; comfort working directly with data engineers on schema design and data contractsStrategic and Business SkillsAbility 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