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

Data Product Architect

Morrisville, NC · 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 · 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 ...

... Management, Scrum, Agile Preferred: * Domain expertise in Banking, Loan products, and Regulatory Reporting highly preferred * Understanding of data warehousing and ETL processes (including AWS ...

... Management, Scrum, Agile Preferred: * Domain expertise in Banking, Loan products, and Regulatory Reporting highly preferred * Understanding of data warehousing and ETL processes (including AWS ...

Today, far too much of that data is still keyed in by hand. Your job is to change that. You will ... Qualifications * 3+ years in product management in a B2B SaaS environment, with meaningful time ...

... Management, Scrum, Agile Preferred: * Understanding of data warehousing and transformation as well as extract, transform, and load processes, Knowledge of technologies and trends impacting the ...

... Management, Scrum, Agile Preferred: * Understanding of data warehousing and transformation as well as extract, transform, and load processes, Knowledge of technologies and trends impacting the ...

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 · 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 ...

Director, Product

Raleigh, NC · 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 ...

Director, Product

Raleigh, NC · 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 ...

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 ...

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 ...

Product Manager: This position will lead quality improvement efforts and agile development ... The employee will design and implement metrics and qualitative data collection methodologies that ...

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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 29, 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:
Infographic showing various Data Product Manager job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $154,954 per year, or $74.5 per hour.

Data Product Architect

NetApp

Morrisville, NC • Hybrid

$59.75 - $76.75/hr

Other

Re-posted 13 days ago


NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 488 rated business services


Job description

Job Summary
NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise Data & Analytics team. In this position, you will convert raw data into actionable insights that enhance decision-making and improve customer outcomes within Customer Success Operations (CSOps) and Professional Services Operations (PSOps).
You will design scalable data models, build robust data pipelines, and explore cutting-edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL generation, data modeling, and conversational analytics. Utilizing these technologies, you will create data products that automate workflows and strengthen decision-making. Your work will enable teams to harness data to boost operational efficiency, increase customer engagement, and elevate overall business performance.
At NetApp, we prioritize ownership, a growth mindset, customer focus, inclusivity, and high performance. We encourage applicants from diverse backgrounds and experiences, emphasizing skills and potential above traditional credentials. This hybrid role requires presence at the NetApp RTP office three days per week.
Key Responsibilities
Design and refine data models that effectively support enterprise analytics and reporting requirements. Establish clear data structures, define relationships, and set metadata standards to ensure scalability and optimal performance.
Construct, enhance, and assess data pipelines to produce reliable, production-ready systems. Employ tools such as Oracle Data Warehouse, Snowflake, HVR, and Informatica IICS to streamline workflows.
Harness AI technologies for coding assistance, SQL generation, data modeling, and conversational analytics. Create intelligent data products that automate workflows and improve decision-making processes.
Comprehend business needs within CSOps and PSOps, translating them into precise technical designs and architectural documentation. Align solutions with organizational goals while collaborating with cross-functional teams to deliver effective data-driven outcomes.
Implement Waterfall and Agile/Scrum methodologies throughout project lifecycles, ensuring adherence to compliance standards, especially concerning financial data and operational controls.
Job Requirements
Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an advantage.
At least five years of experience working with data platforms such as Oracle Data Warehouse, Snowflake, and Informatica IICS.
A minimum of five years of practical Power BI experience, covering semantic modeling, DAX, dashboard creation, and enterprise-level reporting.
Proficient in Git-based version control and Azure DevOps CI/CD methodologies for efficient code management, deployment, and release processes.
At least two years of experience utilizing AI tools for coding, SQL generation, data modeling, and conversational analytics.
Outstanding written and verbal communication and presentation skills.
Strong analytical thinking and problem-solving capabilities.
Collaborate effectively with stakeholders including Project Managers, Delivery Managers, and Architects on both projects and operational tasks.
Demonstrated ability to work seamlessly within cross-functional teams and to influence stakeholders.
Preferred Certifications:
  • Snowflake: Snowflake SnowPro Core Certification
  • TOGAF: TOGAF 9 Certified or TOGAF Standard, Version 10 Certification
  • Power BI: Microsoft Certified: Power BI Data Analyst Associate
  • Additional relevant industry certifications are highly welcomed.
Education

Bachelor's degree in computer science or management information systems.

Minimum of five years of experience is required; 5 to 8 years of experience is preferred. including three or more years in Business Analytics or relevant domains.


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