Senior Data Product Manager

Role Description

• 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.

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.

Requirements

• 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.

Benefits

• $130,000- $150,000 annual base salary depending on experience and education.
• 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).