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Data Product Manager Jobs in Delaware (NOW HIRING)

We are looking for a Product Manager to join our Product team to own and grow a data domain spanning the full post-acute and value-based care continuum. You, as the Product Manager, will play a ...

Dillon Product Manager

DE · Remote

$80K - $121K/yr

The Dillon Product Manager is responsible for providing support and driving development of the ... Perform product testing, gathering of relevant experimental data, and data analysis in support of ...

About Product Management Roles at Danaher Are you excited by the challenge of shaping innovative ... Strong analytical and problem-solving skills with the ability to interpret complex data

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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 Jul 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's salary?

The salary for a data product manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those in high-demand markets can earn higher compensation, often including bonuses and stock options. Strong skills in data analysis, product management, and familiarity with tools like SQL and Tableau are often required.

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.

Are PMs in high demand?

Product Managers (PMs), including Data Product Managers, are in high demand across many industries due to the increasing reliance on data-driven decision-making and digital products. Companies seek skilled PMs with strong communication, technical understanding, and experience managing cross-functional teams, often requiring familiarity with tools like SQL, data analytics, and Agile methodologies.

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 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.

What is the role of a data product manager?

A data product manager oversees the development and management of data products, ensuring they meet business needs and are aligned with organizational goals. They collaborate with data engineers, analysts, and stakeholders to define requirements, prioritize features, and ensure data quality and usability, often using tools like SQL and data visualization platforms.

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.

Do PMs need a MBA?

A Data Product Manager typically does not require an MBA, but many have advanced degrees or business experience to complement their technical skills. Strong knowledge of data analysis, product lifecycle, and stakeholder communication are often more important than formal business education. Certifications in product management or data tools can also enhance qualifications.
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:
Infographic showing various Data Product Manager job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $159,542 per year, or $76.7 per hour.
Clinical Data Product Manager

Clinical Data Product Manager

Trella Health

On-site, Remote

Other

Posted 17 days ago


Job description

Position Overview:

We are looking for a Product Manager to join our Product team to own and grow a data domain spanning the full post-acute and value-based care continuum. You, as the Product Manager, will play a critical role in turning complex clinical and claims data into insights that help providers improve transitions of care, reduce readmissions, and deliver better outcomes across settings. You'll partner closely with data science, engineering, and GTM teams to ship AI-powered analytics that give post-acute providers and value-based organizations a clearer view of performance, referral patterns, and network leakage. This is a high-impact opportunity for someone who wants to shape how AI and clinical data come together to solve real problems in post-acute and value-based care, at a company positioned at the center of that shift.

Location: Our strong preference for candidates within commuting distance of Atlanta or Philadelphia. We have team members in both locations who visit our office weekly on Wednesdays. However, we will also consider applicants in other U.S. locations in a remote capacity.

Reports to: Director, Product

As a Product Manager at Trella, you will:

  • Own product strategy, roadmap, and execution for a clinical data domain spanning the full care continuum 
  • Lead end-to-end product development, from discovery through delivery, across cross-functional teams including data science, data engineering, and software engineering 
  • Translate clinical and claims data into actionable analytics, including transitions of care analysis, patient outcomes, performance benchmarking, referral patterns, cost, and network leakage 
  • Identify and integrate AI/ML-driven capabilities (e.g., predictive analytics, risk stratification, anomaly detection) to enhance clinical insights and drive smarter decision-making for value-based care and post-acute providers 
  • Build and ship AI-powered product features, from concept through adoption, including generative AI, predictive models, and intelligent automation embedded directly into clinical and operational workflows for users 
  • Use AI tools daily across the full product lifecycle, including discovery, prototyping, requirements definition, stakeholder communication, and GTM enablement 
  • Drive measurable business outcomes including ARR growth, customer retention, and NPS, ensuring product investments deliver impact 
  • Own the clinical narrative around care transitions, including discharge planning, referral patterns, and cross-setting patient flow, translating those workflows into product requirements 
  • Independently prioritize and manage the product backlog, balancing clinical user needs, business value, and technical investment 
  • Collaborate with GTM teams (Sales, Marketing, Customer Success) to support positioning, enablement, and successful product launches 
  • Conduct market and competitive analysis to inform product direction and identify opportunities for clinical and AI-driven innovation 
  • Champion a product-led mindset, driving clarity, accountability, and continuous improvement across teams 

This job might be a fit for you if you have: 

  • 4+ years of product management experience in B2B SaaS, with direct ownership of roadmap and product outcomes 
  • Hands-on experience with clinical data sets across care settings (e.g., MDS, OASIS, ADT feeds, claims, EHR data) 
  • Strong understanding of transitions of care, including how patients move across acute, post-acute, and community settings, and the data and workflows that support those handoffs 
  • Deep familiarity with post-acute care workflows and performance metrics (e.g., SNFs, home health, hospice, referrals, readmissions, LOS) 
  • Experience with or exposure to value-based care models (e.g., ACOs, bundled payments, network optimization) 
  • Strong experience in healthcare analytics, with a preference for post-acute and/or value-based care domains 
  • Proven ability to drive KPIs including retention, NPS, and revenue growth 
  • Experience building or managing data products and analytics/visualization tools 
  • Strong analytical and problem-solving skills, with comfort working closely with data science and engineering teams 
  • Demonstrated ability to lead cross-functional teams and influence stakeholders including executive leadership 
  • Experience in Agile environments and familiarity with tools like Jira, Aha! 
  • A customer-first mindset with a passion for solving complex healthcare problems and improving patient outcomes 
  • Strong understanding of CMS reimbursement and VBC models 
  • Genuine enthusiasm for AI and a track record of using AI tools to do better, faster work 
  • Clinician or prior clinical role with direct patient care experience across settingsÂ