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Data Platform Product Manager Jobs in Delaware (NOW HIRING)

WSFS Bank

Fraud Product Manager

Wilmington, DE · On-site

Must have strong analytical rigor and comfort working with data to identify patterns, gaps, and ... Familiarity with fraud detection platforms and concepts, including device fingerprinting ...

Wsfsbank

Fraud Product Manager

Wilmington, DE · On-site

Must have strong analytical rigor and comfort working with data to identify patterns, gaps, and ... Familiarity with fraud detection platforms and concepts, including device fingerprinting ...

WSFS Bank

Fraud Product Manager

Wilmington, DE · On-site

Must have strong analytical rigor and comfort working with data to identify patterns, gaps, and ... Familiarity with fraud detection platforms and concepts, including device fingerprinting ...

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All JobsData Platform Product JobsData Platform Product Manager JobsData Platform Product Manager Jobs in Delaware

Data Platform Product Manager information

See Delaware salary details

$51.5K

$159.5K

$197.2K

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

As of Aug 9, 2026, the average yearly pay for data platform product manager in Delaware is $159,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $197,200.00 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.

What are popular job titles related to Data Platform Product Manager jobs in Delaware? For Data Platform Product Manager jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Platform Product Manager jobs in Delaware look for? The top searched job categories for Data Platform Product Manager jobs in Delaware are:
What cities in Delaware are hiring for Data Platform Product Manager jobs? Cities in Delaware with the most Data Platform Product Manager job openings:
Data Platform Product Manager jobs near you

Client and Account Data Product Manager - Vice President

JPMorganChase

Newark, DE • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Client and Account Data Product Manager, you will lead product development and improve data quality within the Party and Account Data Domain, collaborating with various stakeholders to deliver robust data solutions and support agile transformation.
Responsibilities:
• Support the execution of the product vision and strategy for the Party and Account Data Domain
• Collaborate with data consumers, business stakeholders, and technology teams to gather requirements and address challenges
• Manage and refine the product backlog, ensuring alignment with business priorities and agile best practices
• Write clear user stories, define acceptance criteria, and track progress on development tasks and issues
• Assist in the design and implementation of reusable data capabilities and micro-services across Wealth Management
• Conduct data quality assessments, support improvement initiatives, and facilitate integration with analytics platforms
• Monitor and report on data-related risks, ensuring compliance with firm-wide policies and standards
Qualifications:
Required:
• 5+ years of experience in product management, data analysis, or related roles within financial services or technology
• Solid understanding of Agile (Scrum) methodologies and backlog management
• Experience in data governance, data modeling, and data quality improvement
• Strong collaboration and relationship-building skills with business, technical, and data stakeholders
• Familiarity with microservices architecture and analytics platforms
• Proficiency in data analysis, process mapping, and use of analytical tools (e.g., Alteryx, MS Visio)
• Demonstrated ability to manage projects, solve problems, and support change initiatives
Preferred:
• Experience in wealth management or related financial services
• Knowledge of Client or Account data domains and industry-specific data challenges
• Ability to prepare and present information to management and cross-functional teams
• Strong written and verbal communication skills
• Ability to manage multiple tasks and priorities in a dynamic environment
• Experience working both independently and collaboratively within teams
• Analytical mindset with the ability to break down and solve complex problems
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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