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Data Product Manager Jobs in Raleigh, NC (NOW HIRING)

Data Product Analyst

Cary, NC ยท On-site

$40.86 - $48/hr

Data Product Analyst Location: Cary NC / Carrollton TX Duration: 5 months contract (potential to go ... The Product Analyst II is a critical partner to the Product Owner/Product Manager and Scrum Team ...

Data Product Architect

Morrisville, NC ยท Hybrid

$59.75 - $76.75/hr

Job Summary NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise ... Collaborate effectively with stakeholders including Project Managers, Delivery Managers, and ...

Data Product Architect

Morrisville, NC ยท On-site

$59.75 - $76.75/hr

Job Summary NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise ... Collaborate effectively with stakeholders including Project Managers, Delivery Managers, and ...

The Product Manager will ensure development of a clear value proposition utilizing customer knowledge and experience as well as analytical data. Essential functions: Prioritization Owner/Project ...

Relay is the Intelligent System of Action for the physical economy, transforming analog frontline operations into a data-rich, AI-powered ecosystem. The Product Manager for Revenue Engineering will ...

Product Manager

Chapel Hill, NC ยท On-site +1

$115K - $140K/yr

Use data, analytics, and AI/ML insights to define success metrics, build business cases, and ... product management, engineering, or related industry experience. * Experience defining software ...

Data center infrastructure is evolving fast, and the physical systems that support server and networking equipment are critical to performance and reliability. Join nVent as a Product Manager focused ...

Sr. Product Manager

Durham, NC ยท On-site

$122K - $161K/yr

We're dedicated to developing data-driven tech solutions, providing amazing customer experiences ... We're hiring a Sr. product Manager to help shape and own that work. This is a strategic, high ...

The Product Manager will act as the leader of a cross-functional team consisting of Product, User Experience, Engineering, and Data Scientists to solve Relias' business problems and deliver against ...

New

Product Manager

Raleigh, NC ยท Hybrid

$89K - $165K/yr

Data center infrastructure is evolving fast, creating new challenges for customers and new opportunities for innovative product leadership. Join nVent as a Product Manager, where you'll help shape ...

We're dedicated to developing data-driven tech solutions, providing amazing customer experiences ... The Product Manager will work cross-functionally with Actuarial, Accounting, Operations, Data, and ...

Director, Product

Raleigh, NC ยท Remote

$226K - $237K/yr

You've managed data platform roadmaps but have never owned pricing, packaging, or attach rate for a product. * You're most comfortable working within engineering - this role requires sustained ...

Director, Product

Raleigh, NC ยท Remote

$238K - $249K/yr

You've managed data platform roadmaps but have never owned pricing, packaging, or attach rate for a product. * You're most comfortable working within engineering -- this role requires sustained ...

We are looking for an impact-oriented Product Manager to bridge the gap between complex data and human collaboration. You'll join a high-caliber squad of designers and engineers building everything ...

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Data Product Manager information

See Raleigh, NC salary details

$50.1K

$155K

$191.5K

How much do data product manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data product manager in Raleigh, NC is $154,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,100.00 and $191,500.00 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 Raleigh, NC? For Data Product Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Product Manager jobs in Raleigh, NC look for? The top searched job categories for Data Product Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Product Manager jobs? Cities near Raleigh, NC with the most Data Product Manager job openings:
Data Product Analyst

Data Product Analyst

iSpace, Inc

Cary, NC โ€ข On-site

$40.86 - $48/hr

Other

Re-posted 15 days ago


Job description

Data Product Analyst Location: Cary NC / Carrollton TX Duration: 5 months contract (potential to go PERM) Work from Office

Pay rate $40.86 to $48 per hr on W2
Responsibilities:
The Product Analyst II is a critical partner to the Product Owner/Product Manager and Scrum Team, responsible for translating strategic goals into actionable product requirements and measuring the overall effectiveness of modernization initiatives. This role provides data-driven insights and process support, ensuring goals related to feature delivery, process efficiency, and risk mitigation are met and continuously tracked.
The Product Analyst II will:

  • Translate data-driven insights into actionable recommendations, partnering with Product Owners to ensure analysis results in measurable strategic or operational improvements.
  • Establish post-implementation tracking to measure and validate the actual business value and impact realized from product changes or strategic recommendations.
  • Proactively identify and communicate emerging risks, optimization opportunities, or performance gaps to Product Leadership, translating complex analytical findings into clear business implications for strategic decision-making.
  • Partner with the Product Owner to define, document, and refine user stories, acceptance criteria, and technical requirements for development.
  • Actively participate in backlog grooming and prioritization sessions to ensure a well-defined and ready-to-deliver backlog.
  • Support the Scrum Team by testing functionality as it's being delivered and ensuring it meets the defined acceptance criteria.
  • Engage directly with business stakeholders and end-users to understand, document, and prioritize new features and enhancements.
  • Lead the triage and troubleshooting of production issues, collaborating with engineering and business teams to ensure timely resolution and root cause analysis.
  • Analyze and report on the effectiveness of the data governance tool/function, measuring its contribution to accelerating time-to-insight and building data trust.
  • Track data quality and integrity metrics during Data Ingestion & Lineage (Legacy to Snowflake via Pennypipe), including supporting automated reconciliation tests.
  • Develop and monitor KPIs related to the Policy & Governance Framework to demonstrate progress in Risk Mitigation and Compliance.
  • Develop metrics to monitor the rate of automatic resolution for failed Pennypipe replication jobs, ensuring the goal of achieving high Operational Resiliency and "zero business-critical reporting outages " is met.
  • Support the evaluation of external governance platforms (e.g., DataHub/Collate/Sifflet) with data-driven cost-benefit analysis.

Qualifications:

  • 4 Year college degree (Bachelor) or equivalent work experience
  • Deep understanding of Agile methodologies (Scrum/Kanban), including writing user stories, defining acceptance criteria, and managing a product backlog.
  • Strong quantitative and qualitative analytical skills, with a proven ability to define, measure, and report on key performance indicators (KPIs) for complex technical platforms.
  • Tool Expertise: Tableau, Sigma, Power BI, BI toolset
  • Proficiency with data warehousing (e.g., Snowflake) and SQL, BI tool analytics (e.g., Sigma), and an understanding of data governance/metadata concepts.
  • Experience in monitoring data quality, tracking data lineage, and assessing migration risk.
  • Ability to synthesize complex analytical findings into clear, concise reports and presentations for both technical and business stakeholders.
  • Experience with JIRA, Scrum, Kanban, Sprint Planning

If you're interested in above role please send me your updated resume to