Senior Data Product Manager, Product Telemetry

MongoDB is a data platform company that empowers organizations to modernize workloads, embrace innovation, and build applications for the AI era. The Senior Data Product Manager will lead the vision, strategy, roadmap, and delivery of internal data products focused on product telemetry, adoption, engagement, and churn signals. The role partners with Product and Technology teams to drive data product adoption, enable data-informed decisions, and manage agile product delivery.

Responsibilities:

• Define product vision, strategy, and roadmap for MongoDB’s Data teams and products
• Evangelize the importance of data-as-a-product by creating repeatable and scalable data solutions tailored to business needs
• Balance quick wins for immediate needs with longer-term innovation aligned with strategic goals, particularly integrating modern data frameworks such as lakehouses and medallion data architecture (bronze, silver, gold sets)
• Collaborate deeply with P&T teams to ensure data products address their unique challenges and workflows
• Work closely with diverse personas — analysts, engineers, P&T teams, and senior leadership — to capture detailed business processes, user stories, and pain points
• Serve as a trusted partner and advocate for P&T stakeholders by prioritizing solutions that have direct, measurable business impact, as well as driving the “art of the possible”
• Define metrics and KPIs to measure success and iterate on continuous improvement
• Track innovation and emerging trends in modern data platforms, scalable data engineering, and advanced analytics tooling, integrating these insights into the roadmap to maintain cutting-edge capabilities
• Build user-friendly documentation, guides, and onboarding materials for data products to drive adoption and ensure ongoing literacy in using product features effectively
• Partner with training teams and change management functions to ensure teams successfully integrate new data tools and features into their workflows
• Announce new product features, datasets, and tools with tailored product marketing strategies to maximize awareness and adoption across MongoDB teams
• Champion the value of data products in solving business questions; lead re-launch efforts as necessary to reinvigorate flagging adoption and spotlight transformative benefits
• Own and drive agile processes, including sprint planning, backlog grooming, and retrospectives, to ensure timely, high-quality product delivery
• Balance innovation with tackling tech debt while delivering new features, particularly focusing on datasets, pipelines, frameworks, and tools for user enablement

Requirements:

• • 5+ years of hands-on product management experience, with at least two years focused on data products or platforms at a modern, fast-paced, high-growth company
• • Experience with stakeholders in advanced engineering organizations is critical; strong understanding of software development lifecycle processes
• • Strong technical foundation in data engineering, analytics, and data products
• • Deep familiarity with modern data platforms, scalable architecture (e.g., lakehouses, medallion data), and tools that operationalize insights at enterprise scale
• • Proven ability to prioritize roadmaps in line with P&T operational needs and long-term goals, driving innovation while managing trade-offs with scope, resources, and timelines
• • Adaptable and resourceful problem-solver who tackles challenges independently and escalates only when absolutely necessary
• • Expertise in identifying measurable outcomes, tracking success metrics, and iteratively improving product impact
• • Comfortable working in an agile, fast-paced environment where continuous improvement and high-quality delivery are paramount
• • Able to articulate complex concepts to a variety of audiences, from technical teams to non-technical P&T stakeholders and executives
• • Proven ability to align diverse groups on shared goals, priorities, and solutions
• • Experience uncovering and driving insights with data science, BI, analytics, or data engineering tools to measure impact and find new business opportunities
• • Proven track record of creating engaging product enablement materials, such as guides, documentation, and training resources
• • Demonstrated passion for evangelizing technical products, datasets, frameworks, and tools while driving adoption across diverse teams
• • Knowledge around metadata management and its implications for long-term discoverability
• • Up-to-date awareness in data market trends, including databases, data science advancements, and software development innovations