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Data Platform Product Manager Jobs (NOW HIRING)

Mattel

Product Manager, Data Platform

El Segundo, CA · On-site

The Opportunity: We're looking for a Product Manager with strong experience in data platforms and integrations to support internal systems at Mattel. This role is focused on customer, marketing, and ...

Datavant

Senior Product Manager, Data Platform

$129K - $170K/yr

What You Will Do You will be the dedicated product partner for the Data Platform team and its ... You have 5+ years in a product management, product strategy, or engineering with a focus on data ...

NextHop AI

Platform Product Manager

Santa Clara, CA · On-site

About the Role As a Platform Product Manager, you'll play a key role in driving the platform roadmap, and working on advanced technologies and products to solve interesting customer problems. This ...

NextHop AI

Platform Product Manager

Santa Clara, CA

About the Role As a Platform Product Manager, you'll play a key role in driving the platform roadmap, and working on advanced technologies and products to solve interesting customer problems. This ...

Cresta

Platform Product Manager

OR · On-site +1

$130K - $190K/yr

We are hiring a Platform Product Manager to own and evolve foundational platform capabilities, starting with Identity and Access Management, or IAM. This role sits at the center of how our enterprise ...

Upward Health

Care Platform Product Manager

We are seeking a Care Platform Product Manager responsible for driving the strategy, design, and delivery of technology solutions that support clinical care operations across the organization's care ...

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All JobsData Platform Product Manager Jobs

Data Platform Product Manager information

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$51.5K

$159.4K

$197K

How much do data platform product manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data platform product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

How does a Data Platform Product Manager typically collaborate with engineering and data teams to deliver platform features?

A Data Platform Product Manager regularly works alongside engineering and data teams by defining product requirements, prioritizing the feature backlog, and ensuring alignment with business goals. They facilitate communication among stakeholders, translate complex technical needs into actionable tasks, and help resolve roadblocks that may arise during development. This collaborative approach ensures the platform evolves to meet both user expectations and technical constraints, fostering a shared sense of ownership and delivering robust, scalable solutions.

What are the key skills and qualifications needed to thrive as a Data Platform Product Manager, and why are they important?

To thrive as a Data Platform Product Manager, you need a strong understanding of data architecture, product management principles, and analytics, often supported by a degree in computer science, engineering, or a related field. Familiarity with data warehousing technologies, cloud platforms (such as AWS, Azure, or GCP), and tools like SQL, Tableau, or Snowflake is typically required, and certifications in Agile or Scrum can be beneficial. Outstanding communication, stakeholder management, and strategic thinking are crucial soft skills that help bridge technical and business teams. These skills ensure successful product delivery, alignment with business goals, and the creation of scalable, effective data solutions.

What is a Data Platform Product Manager?

A Data Platform Product Manager is responsible for overseeing the development, management, and strategy of an organization’s data platform. They work closely with engineering, data science, and business teams to ensure the platform meets stakeholder needs, supports data-driven decision-making, and aligns with the company's objectives. Their duties typically include defining product requirements, prioritizing features, facilitating communication across teams, and monitoring platform performance and adoption.

What is the difference between Data Platform Product Manager vs Data Engineer?

AspectData Platform Product ManagerData Engineer
Primary FocusProduct strategy, roadmap, and stakeholder alignment for data platformsBuilding, maintaining, and optimizing data pipelines and infrastructure
Required SkillsProduct management, data domain knowledge, communication skillsProgramming, database management, ETL processes
Work EnvironmentCross-functional teams, product lifecycle managementData engineering teams, technical infrastructure
Common CertificationsCertified Scrum Product Owner, data management certificationsApache Spark, cloud platform certifications, SQL expertise

The Data Platform Product Manager focuses on defining the vision and strategy for data platforms, coordinating between stakeholders and engineering teams. In contrast, Data Engineers are responsible for implementing and maintaining the technical infrastructure. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

More about Data Platform Product Manager jobs
What cities are hiring for Data Platform Product Manager jobs? Cities with the most Data Platform Product Manager job openings:
What states have the most Data Platform Product Manager jobs? States with the most job openings for Data Platform Product Manager jobs include:
What job categories do people searching Data Platform Product Manager jobs look for? The top searched job categories for Data Platform Product Manager jobs are:
Data Platform Product Manager jobs near you
Infographic showing various Data Platform Product Manager job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Product Manager, Data Platform

Product Manager, Data Platform

Mattel

El Segundo, CA • On-site

Full-time

Posted 6 days ago

Mattel rating

8.1

Company rating: 8.1 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

Job description

Company Description
CREATIVITY IS OUR SUPERPOWER. It's our heritage and it's also our future. Because we don't just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard-when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.
Job Description
The Opportunity:
We're looking for a Product Manager with strong experience in data platforms and integrations to support internal systems at Mattel. This role is focused on customer, marketing, and e-commerce data, with ownership of the end-to-end delivery of data pipelines and integrations into our infrastructure and downstream analytics tools.
What Your Impact Will Be:
  • Own the roadmap for marketing and e-commerce data capabilities across ingestion, transformation, warehousing, and delivery to reporting and activation tools.
  • Lead buildout and ongoing improvement of our data foundation for marketing and e-commerce data, including source onboarding, modeling, and dataset readiness for reporting and teams.
  • Drive integration work end-to-end: define requirements, partner with engineering, coordinate with vendors/agencies, manage delivery, and handle rollout and support.
  • Plan and deliver the sunset of legacy data warehouse solutions, including migration strategy and stakeholder cutover planning.
  • Own data QA and reliability:
    • Define data quality checks (completeness, accuracy, freshness, schema changes).
    • Partner with QA/engineering on automated tests and validation processes.
    • Set and manage SLAs for key datasets and pipelines.
  • Put monitoring in place for pipelines and integrations:
    • Define what we monitor (pipeline health, volume anomalies, latency, failures).
    • Set up alerting, triage flows, and clear ownership for fixes.
    • Track issues, manage incident follow-ups, and prevent repeats.
  • Translate business needs into clear data requirements and technical work:
    • Define metrics, data definitions, and dataset contracts needed for marketing and e-commerce reporting.
    • Ensure consistent outputs across sources (web analytics, media platforms, e-comm platforms, CRM/CDP, agencies).
  • Coordinate across teams (Insights, Engineering, QA, Marketing, Agencies, Platforms) to plan releases, manage dependencies, and keep delivery moving.
  • Communicate status and tradeoffs clearly to leadership and stakeholders.

Qualifications
What We're Looking For:
  1. Bachelor's degree in Computer Science, Information Systems, Business, Analytics, or related field (Master's/MBA a plus).
  2. 5+ years as a Product Manager (or similar) working on data platforms, integrations, or analytics products (7+ years overall).
  3. Deep technical understanding of modern data stacks:
    • Data warehousing and integration concepts (modeling, ELT/ETL, DAGs).
    • Databases and analytics/reporting patterns.
  4. Strong experience owning API-based and file-based integrations (REST APIs, webhooks, batch feeds, SFTP), including vendor/agency data ingestion.
  5. Proven track record building data QA and monitoring:
    • Data tests, validation workflows, anomaly detection, alerting, incident response.
  6. Comfortable working with engineering teams through delivery (requirements, scope, prioritization, release planning).
  7. Clear communicator who can write specs, run cross-team work, and keep stakeholders aligned.

Nice-to-haves
  • SQL (strong) and/or Python (basic to intermediate).
  • Google Cloud experience (preferred).
  • Familiarity with tools/patterns for orchestration, observability, and data QA (any equivalents).
  • Working knowledge of privacy/security expectations for customer data (baseline handling, access controls, audit needs).

*The pay range is indicative of projected hiring range, however base pay will be determined based on a candidate's work location, skills and experience. Mattel offers competitive total pay programs, comprehensive benefits, and resources to help empower a culture where every employee can reach their full potential.
Additional Information
Don't meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Join Mattel's Talent Community and start receiving exciting updates about our company, our employees, and our culture. Also, interested in signing up for job alerts? Do so here!
How We Work:
We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors:
  • We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower.
  • We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking.
  • We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.

Who We Are:
Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world's leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential.
Mattel's award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more.
Visit us at https://jobs.mattel.com/ and www.instagram.com/MattelCareers.
Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, and or any other basis protected by applicable federal, state or local law.
Pursuant to the Los Angeles Fair Chance Ordinance and the California Fair Chance Act, qualified applicants with arrest or conviction records will be considered for employment.
Videos to watch:
The Culture at Mattel
Corporate Philanthropy
Videos To Watch
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