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HomeCompaniesMongoDBSenior Director, Data Product Management

Senior Director, Data Product Management

MongoDB · Austin; New York City; Palo Alto; San Francisco · Hybrid · Active · Greenhouse

Job facts

FieldValue
CompanyMongoDB
TitleSenior Director, Data Product Management
Normalized title-
Department / teamData & Platform
LocationAustin, TX, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-16 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from MongoDB.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Austin.Open
Department jobsActive postings in Data & Platform.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMongoDB
Source88998ec6-cc1d-48ba-a390-4f081dbd8e53
ATS providerGreenhouse

Description

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 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $168,000 — $330,000 USD

Full job record

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Source ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Board ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Providergreenhouse
Provider Job Key7705477
TitleSenior Director, Data Product Management
Normalized Title
Statusactive
Activeyes
Location TextAustin; New York City; Palo Alto; San Francisco
DepartmentData & Platform
Team
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionTX
CityAustin
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://www.mongodb.com/careers/job/?gh_jid=7705477
Apply URLhttps://www.mongodb.com/careers/job/?gh_jid=7705477
First Seen At2026-05-29 22:41:08Z
Last Seen At2026-06-06 07:33:49Z
Last Checked At2026-06-06 07:33:49Z
Last Changed At2026-06-06 07:33:49Z
Inactive At
Source Posted At2026-03-16 14:00:07Z
Source Updated At2026-06-04 18:30:04Z
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Parsed Structured
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Extensions
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Native Structured
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