Our Internal Data team is on a mission to power decisions and applications across MongoDB, oriented around the business areas of GTM, Product & Technology, Finance and HR. With this role, we are focusing on delivery of scalable, insightful, and impactful data products for our Product and Technology (P&T) teams - the org that builds MongoDB products for our external customers. These products drive smarter decisions, automate workflows, enable AI agents and deliver actionable insights that accelerate growth. If shaping the future of data-as-a-product excites you, then this opportunity is for you.

As a Senior Data Product Manager on our Data team — which includes Data Pipeline/Platform Engineering, Data Architecture, and Data Governance — you will lead efforts to build, enhance, and scale the data products MongoDB employees use every day across a growing, high-impact company. You’ll deliver data products like data pipelines, datasets, reports/dashboards, APIs, ML models, playbooks, and frameworks while enhancing more traditional data management tools/services to power both AI and BI. These data products form the backbone of our internal data ecosystem and are instrumental in empowering teams to achieve their KPIs and innovate faster.

In this role you will also have the opportunity to drive the vision and strategy for internal data as a product, with a focus on telemetry and product adoption/engagement/churn signals. By developing tools and systems that provide deep insights into how customers use or don’t use MongoDB’s products, you will empower teams to understand customer behaviors and improve the end-user experience. The goal is to enable data-driven decisions that enhance product design, drive customer value, and fuel innovation across the MongoDB portfolio.

This role can be based out of our Palo Alto, San Francisco, or New York City office or remotely in the East Coast region.

Responsibilities

Lead Product Strategy and Ownership

• 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)

Partner with Product and Technology (P&T) Teams

• 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”

Performance and Market Analysis

• 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

Stakeholder Enablement

• 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

Adoption and Evangelization

• 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

Agile Product Management

• 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

Proven Data Product Manager & Domain Expertise

• 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

Technical Strength & Understanding of Modern Data Architecture

• 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.

Strategic and Adaptable Mindset

• 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

Growth-Focused

• 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

Outstanding Communication Skills

• 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

What Sets You Apart

• 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

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 4263305802

Our Internal Data team powers decisions and applications across MongoDB, supporting teams in Go-to-Market (GTM), Product and Technology, Finance, and HR. As MongoDB scales, we are making a significant investment in becoming a truly Data-Driven Enterprise — one built on trusted, governed golden data assets, world-class self-serve capabilities, and AI-ready data infrastructure. This is a rare opportunity to lead a high-visibility, company-defining initiative that will transform how MongoDB teams access, trust, and act on data.

This role can be based in one of our major U.S. offices (New York City, Austin, Palo Alto, or San Francisco) under our hybrid working model, or remotely within the United States.

As Senior Director of Data Product Management, you will own the vision, strategy, and execution of MongoDB's internal data product portfolio, with an initial focus on Go-to-Market (GTM) functions including Sales, Marketing, and Customer Success. You will lead and grow a team of four Product Managers, partnering deeply with Data Pipeline, Platform Engineering, Data Architecture, and Data Governance teams to deliver the data products MongoDB teams rely on every day. These products span data pipelines, canonical datasets, dashboards, APIs, ML models, and self-serve frameworks that power analytics, AI, and business decision-making at scale.

This role is ideal for a seasoned data product leader who brings both strategic vision and operational depth — someone who can engage credibly with C-suite stakeholders, inspire a high-performing team, and drive a complex, multi-workstream enterprise initiative from vision to measurable impact.

Responsibilities

• Own and communicate a compelling, multi-year product vision and strategy for MongoDB's internal data products, anchored in the goal of building a Data-Driven Enterprise with trusted golden data and strong self-serve capabilities
• Serve as a thought partner and key point of contact for C-suite and executive stakeholders, translating enterprise data strategy into a clear, prioritized product roadmap
• Lead, mentor, and grow a team of Product Managers, fostering a high-performance culture of ownership, curiosity, and impact
• Champion the development of canonical, single-source-of-truth golden data assets that serve as the single source of truth for Customer, Product, People and Finance data, breaking down siloes and cultivating a common language across metrics business-wide
• Drive the build-out of self-serve data capabilities that empower business users to access, explore, and act on trusted data with minimal friction
• Partner with leadership across the company to identify and prioritize the highest-value opportunities where data products can improve decision-making, automate workflows, and accelerate growth
• Work across Data Engineering, Architecture, Platform, and Governance teams within IT as well as our key partners in Analytics & Data Science to ensure data products are scalable, reliable, and aligned with enterprise data standards
• Define and own success metrics for the data product portfolio, using data to demonstrate business impact and continuously raise the bar
• Establish and evolve product development practices across the team, including roadmap planning, backlog management, agile delivery, and cross-functional coordination
• Drive organization-wide adoption of data products through effective storytelling, clear documentation, enablement programs, and change management

Requirements

• 10+ years of product management experience, with at least 3–5 years in a senior leadership role managing product managers and delivering data products or data platforms at scale
• Demonstrated experience leading large, strategic, enterprise-wide data democratization initiatives with executive visibility and cross-functional complexity
• Deep understanding of modern data ecosystems, including data pipelines, lakehouse and medallion architectures, analytics platforms, and data governance frameworks
• Exceptional communication and executive presence, with the ability to translate complex technical strategies into compelling narratives for C-suite audiences
• Proven ability to define and execute a vision for trusted, governed data assets and scalable self-serve data capabilities
• Experience building and scaling self-serve analytics and data enablement programs
• Experience partnering with and influencing partner organizations across the company at the leadership level
• Strong people leadership skills, with a track record of developing and retaining high-performing product talent
• Ability to operate effectively in fast-paced, ambiguous environments, balancing long-term strategic thinking with near-term execution

Nice to Have

• Background in analytics, data science, or data engineering
• Familiarity with metadata management, data discoverability, or data catalog tooling
• Exposure to AI/ML product development in the context of enterprise data platforms

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273386452