Senior Data Product Manager, Product Telemetry

MongoDB is a company that empowers customers and employees to innovate at the speed of the market. They are seeking a Senior Data Product Manager to lead efforts in building scalable data products for internal teams, focusing on leveraging data to drive smarter decisions and enhance product design.

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