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Data Platform Product Manager Jobs (NOW HIRING)

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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 Sep 5, 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.

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.

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 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.

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What states have the most Data Platform Product Manager jobs?

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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:

Infographic showing various Data Platform Product Manager job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Product Manager, Consumer Data Platform

Skechers USA, Inc.

Manhattan Beach, CA • On-site

$130 - $160/hr

Other

Posted 4 days ago


Skechers rating

6.5

Company rating: 6.5 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 62 rated fashion and textile manufacturers


Job description

WHO WE ARE:Headquartered in Southern California, Skechers—the Comfort Technology Company—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.ABOUT THE ROLEThis is your chance to sit at the controls of one of the most powerful engines behind Skechers' direct-to-consumer growth: our Consumer Data Platform. As Product Manager, CDP, you'll own the roadmap that turns raw customer data into smarter marketing, sharper personalization, and unforgettable digital experiences — powering everything from performance media and channel marketing to loyalty and business intelligence.You'll be the connective tissue between bold business ambition and rock-solid platform execution — partnering with Business leaders, Solution Architecture, and Production Support to make sure the platform doesn't just run, it delivers. If you love building things that move fast, scale big, and make a real dent in how a global brand understands its customers, this is your seat at the table.WHAT YOU'LL DODrive the Platform RoadmapOwn and champion the CDP roadmap — where business ambition, customer value, and technical reality meetTurn big-picture business needs into crisp user stories, epics, and acceptance criteria engineers love to build fromCall the shots on prioritization — weighing business impact, customer value, and what's realistically achievableRun the show on product planning, backlog grooming, sprint reviews, and releasesTeam up with engineering to build scalable frameworks for data models, Data Cloud segments, and audiences powering email, SMS, paid media, personalization, and automationKeep leadership and stakeholders in the loop with sharp, clear communication on roadmap, tradeoffs, and progressKeep platform capabilities locked in step with a fast-moving businessLead Across Teams, Rally Everyone Around the VisionBe the go-to voice connecting CDP Platform Engineering with the businessBreak through roadblocks, align teams, and drive decisions forwardManage expectations and keep everyone excited and informed on what's coming nextPartner across product teams to nail dependencies and deliver big initiatives togetherWork hand-in-hand with Solution Architecture to shape implementation approaches that just workOwn the Data Customer ExperienceTake the reins on audience management, segmentation, and unifying the customer profile end-to-endLead activation of customer audiences across the CDP, teaming up with Marketing, Loyalty, Service Cloud, and outside platformsDig into data quality issues alongside Data and Engineering teams and get them solvedTranslate business needs into rock-solid requirements for data ingestion, transformation, and harmonizationSet the standard for governance around data usage, privacy, and compliancePush Innovation ForwardStay ahead of the curve on emerging platform capabilities, including AI-driven personalizationSpot opportunities to level up automation, personalization, and data utilizationPartner with CRM, Loyalty, and Paid Media teams to bring new capabilities to life for real marketing use casesWHAT YOU'LL BRING5+ years of Product Management experience — you know how to shipA natural at stakeholder management across technical and business teamsA proven ability to turn business needs into scalable, real-world solutionsFluent in Agile/Scrum, backlog management, and juggling shifting prioritiesSharp understanding of customer lifecycle marketing and segmentationSkilled at making complex technical ideas click for business audiencesHands-on CDP platform experience, with a strong grasp of data quality governance and consumer privacy is a plusDeep familiarity with identity resolution, segmentation architecture, and cross-system data movements a plusComfort working across cloud platforms, APIs, and enterprise data ecosystems is a plusThe pay range for this position is $130,000 - $160,000/year USD.About SkechersSkechers, a global Fortune 500 company, develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. Serving over 180 countries and territories, Skechers connects customers to products through department and specialty stores, e-commerce and digital stores, and through our more than 5,300 Skechers retail locations.Equal Employment OpportunitySkechers is committed to providing a safe, inclusive, and respectful work environment. Skechers provides equal employment opportunities for all employees and applicants for employment without regard race, color, religion, gender, gender identification and expression, national origin, marital status, age, disability, genetic information, military status, sexual orientation, or any other protected characteristic established by local, state or federal law.Reasonable AccommodationApplicants for employment who require a reasonable accommodation to apply for a job should request appropriate accommodation by emailing benefits@skechers.com.To perform this job successfully, an individual must be able to perform each job responsibility satisfactorily. The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified for the job position, to perform the essential functions. #J-18808-Ljbffr

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