DataKind - Senior Product Manager
Requirements
• Deep alignment with DataKind's mission and values, and demonstrated commitment to educational equity and data-driven social impact • 6+ years of product management experience with Agile methodologies, including end-to-end ownership of a product line or domain from discovery through launch and scale for enterprise software • 2+ years of experience with data infrastructure, backend systems, or B2B SaaS platforms, with a solid grasp of data ingestion, ETL, cloud storage, and API design • Experience in the Edtech or open source space • Working proficiency with SQL and Git workflows • A track record of independently setting product strategy and roadmap, and of making scope and sequencing decisions under ambiguity • Experience influencing senior stakeholders and aligning cross-functional teams without direct authority • Experience representing a product to external audiences such as partners, customers, or funders • Experience mentoring other product managers or improving a team’s product practices • A track record of turning requirements from complex, multi-stakeholder environments into clear specs, and of explaining technical concepts to non-technical audiences • Experience using metrics to drive product decisions and demonstrate impact • Preferred • Preferred • Knowledge of data privacy and security requirements, particularly FERPA compliance and student data protection • Experience with API product management and developer-facing tools • Background in social impact measurement and working with mission-driven organizations • Understanding of AI/ML applications in education and student support systems • Experience working with nonprofit organizations or grant-funded initiatives
Responsibilities
• Strategy and Ownership • Set the multi-quarter product strategy and roadmap for your domain, and own the tradeoffs: what we build, what we defer, and why. Ground decisions in user evidence, technical dependencies, resourcing, and impact. • Lead user discovery with users and teams to ground priorities in evidence. • Own product decisions for your domain with minimal oversight. Escalate only portfolio-level or cross-domain conflicts to the Director. • Shape product direction with Engineering so architecture choices reflect long-term product vision, scalability, and user needs. • Turn the institutional needs and implementation challenges raised by partners into a coherent strategic product direction, not a backlog of requests. • Product Delivery • Product Delivery • Define what success looks like for each release and partner with the Technical Project Management function. • Participate in sprint planning, backlog refinement, and retrospectives to keep the team’s work tied to product priorities. • Work with the Project Management owners to set realistic commitments with partners, and lead conversations with partners and stakeholders when scope or priorities need to change. • Partner with Design and Engineering to build intuitive experiences for data management and system configuration. • Define integration requirements with third-party tools. • Measurement and Impact • Define success metrics for your domain, covering adoption, usage, and impact on student outcomes, and use them to drive roadmap decisions. • Build reporting that shows value to institutional partners, internal leaders, and funders, including grant reporting. • Leadership and Influence • Contribute to portfolio strategy with the Director, Product Management, including cross-product initiatives and investment decisions. • Represent your domain to donors, funders, and partner leadership by presenting progress, impact, and roadmap. • Align Data Science, Engineering, Implementation, and Program teams around shared priorities, and resolve competing asks among them. • Coach and mentor peers, and lead improvements to how the product team runs discovery, prioritization, and decision documentation. • Lead go-to-market readiness for your domain, including documentation, training materials, and partner onboarding.
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