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Data Product Manager Jobs in Delaware (NOW HIRING)

JP Morgan Chase

CCOR Data Management Lead

Newark, DE · On-site

Data Product Managers serve as subject matter experts, coordinating between providers and consumers to design fit for purpose, well governed data products to solve business needs. By leading efforts ...

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

Data Product Manager information

See Delaware salary details

$51.5K

$159.5K

$197.2K

How much do data product manager jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data 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.

What is a data product manager?

A Data Product Manager is a professional responsible for overseeing the development, launch, and management of data-driven products or solutions within an organization. They bridge the gap between technical teams, such as data engineers and scientists, and business stakeholders to ensure that data products meet user needs and drive business value. Their role includes defining product vision, prioritizing features, and ensuring data quality and usability, while also focusing on compliance and ethical considerations regarding data use.

How does a data product manager typically collaborate with data engineers and analysts on a project?

A Data Product Manager works closely with data engineers and analysts to define product requirements and ensure data solutions align with business goals. They facilitate communication by translating business needs into technical specifications and prioritize tasks within the team. Regular meetings and agile ceremonies help the Data Product Manager keep everyone aligned, address roadblocks, and incorporate feedback. This close collaboration ensures that data products are both technically robust and deliver real value to end users.

What are the key skills and qualifications needed to thrive as a data product manager, and why are they important?

To thrive as a Data Product Manager, you need a strong background in data analytics, product management, and business strategy, often supported by a degree in a quantitative field and relevant experience. Familiarity with data visualization tools (like Tableau), SQL, analytics platforms, and agile product management frameworks is typically required. Excellent communication, stakeholder management, and problem-solving abilities help you translate complex data insights into actionable product features. These skills ensure that data-driven products are developed effectively, meet user needs, and drive business value.

What is the difference between Data Product Manager vs Data Analyst?

AspectData Product ManagerData Analyst
Primary FocusDeveloping data products, strategy, and roadmapsAnalyzing data to generate insights and reports
Skills & CertificationsData management, product management, SQL, data visualizationData analysis, SQL, Excel, statistical tools
Work EnvironmentCross-functional teams, product development lifecycleData analysis teams, reporting environments
Industry UsageTech, finance, healthcare, where data products are builtBusiness intelligence, marketing, operations

The main difference is that Data Product Managers focus on creating and managing data products and strategies, while Data Analysts concentrate on analyzing data to provide insights. Both roles require strong data skills, but their responsibilities and objectives differ significantly.

Is being a data product manager considered a stressful job?

Data product managers often face stress due to managing multiple stakeholders, tight deadlines, and the need to deliver data-driven solutions. The role requires strong organizational skills and the ability to prioritize tasks, which can contribute to a high-pressure environment, especially in fast-paced industries.

What are popular job titles related to Data Product Manager jobs in Delaware?

For Data Product Manager jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Data Product Manager jobs in Delaware look for?

The top searched job categories for Data Product Manager jobs in Delaware are:

What cities in Delaware are hiring for Data Product Manager jobs?

Cities in Delaware with the most Data Product Manager job openings:

Data Product Manager jobs near you
Infographic showing various Data Product Manager job openings in Delaware as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $159,542 per year, or $76.7 per hour.

Data Product Manager - Associate

JPMorgan Chase & Co.

Wilmington, DE • On-site

$105 - $160/hr

Other

Posted 23 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

71st of 172 rated banks

Job description

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations.


As an Associate Data Product Manager in the Talent Data Product team, you will contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success. . In this role, you will help execute the roadmap for data products that support Talent Acquisition, Onboarding, Off‑boarding, and Workforce Planning. You will partner across Business Intelligence, AI/ML, Product, Information Architecture, and Data Engineering to deliver curated, high‑quality, well‑governed datasets that enable a cohesive, frictionless, and personalized candidate and employee experience. This is an execution‑oriented role with clear ownership of discovery, requirements, backlog, delivery coordination, and data product quality.


Job responsibilities

  • Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery

  • Considers and plans for upstream and downstream implications of new product features on the overall product experience

  • Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers

  • Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle

  • Writes the requirements, epics, and user stories to support product development

  • Conduct user discovery and stakeholder interviews to gather business requirements, pain points, and opportunities for improvement.

  • Partner with Business Intelligence, AI/ML, and Product teams to ensure data products meet reporting, analytics, and automation needs.

  • Collaborate with Information Architecture and Data Engineering to onboard new data sources and transform them into performant, fit-for-purpose data offerings.

  • Establish and maintain strong data governance, quality, and lifecycle management practices for talent data, ensuring compliance with firmwide standards.

  • Own the development and maintenance of data catalog, metadata, glossary, and lineage capabilities for Talent Acquisition and Off-boarding datasets.

  • Drive continuous improvement in data product offerings through stakeholder feedback, usage insights, and industry best practices.


Required qualifications, capabilities, and skills

  • 2+ years of experience or equivalent expertise in product management or a relevant domain area

  • Proficient knowledge of the product development life cycle

  • Experience in product life cycle activities including discovery and requirements definition

  • Developing knowledge of data analytics and data management.

  • Translate business needs into epics, features, and user stories with clear acceptance criteria; maintain a transparent, prioritized backlog and delivery plan.

  • Proficiency in SQL for data testing, validation, and ad‑hoc analysis; ability to guide users on how to access and use data products effectively.

  • Strong stakeholder engagement and communication skills; ability to translate technical capabilities into clear business outcomes and articulate trade‑offs.


Preferred qualifications, capabilities, and skills

  • Understanding of privacy and compliance considerations related to HR data.

  • Experience with data onboarding, metadata management, governance workflows, and compliance in control‑heavy or regulated environments with multiple lines of defense.

  • Working knowledge of modern data platforms and cloud ecosystems, including entitlements, catalog, lineage, and data quality tooling


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