Senior Data Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of and manage the product roadmap and backlog for one or more areas related to data products, including learner analytics, outcomes reporting, or institutional intelligence tools.

• Prioritize features and enhancements based on customer value, business impact, and technical feasibility, focusing on outcomes rather than merely output.

• Collaborate with engineering leads to actively oversee sprint planning, release coordination, and post-launch evaluation.

• Engage in continuous customer discovery, user research, and competitive analysis to enhance understanding of the needs of institutional buyers, learning administrators, and learners.

• Craft clear, detailed user stories, acceptance criteria, and product requirements.

• Facilitate coordination across platform engineering, data science, and UX throughout all stages of the product lifecycle, from discovery to delivery and post-launch iterations.

• Define and drive the creation of data platform features that cater to both external customers and internal operational requirements.

• Manage product releases in collaboration with engineering and project management teams.

• Act as the daily link between technical data teams and commercial stakeholders, translating complex data capabilities into clear customer value propositions.

• Advocate for data quality, integrity, and privacy compliance (FERPA, GDPR, COPPA where applicable) within your product domains.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Data Science, Business, Educational Technology, or a related field is required.

• A minimum of 5 years of product management experience, with at least 2 years specifically in data products, analytics platforms, or data-intensive SaaS environments.

• Preferred experience in B2B or B2B2C EdTech, HRTech, or enterprise SaaS environments.

• Experience in agile development methodologies and managing engineering backlogs.

• Proficient in 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.

• A working understanding of AI/ML concepts as they apply to product features.

• Experience with SQL or equivalent querying tools and comfort in collaborating directly with data engineers on schema design and data contracts.

• Ability to create product narratives, gap analyses, requirements, and use cases that link product decisions to customer and business outcomes.

• Strong capability to translate complex technical information into accessible language for diverse audiences, including customers, sales teams, and senior stakeholders.

🏝️ Benefits

• 100% Remote position.

• Health, Dental, and Vision insurance.

• 401(K) with matching contribution.

• Generous Paid Time Off (PTO).