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Data Product Manager Jobs in Ohio (NOW HIRING)

TekLeaders, Inc

Data Product Manager

Cincinnati, OH · On-site

Data Product Manager Location: Cincinnati, OH Duration: Long Term Contract Job Summary: We are seeking an experienced Product Manager - Data Platforms & ETL to lead the strategy, roadmap, and ...

VPL, Inc

Data Product Manager

Columbus, OH · On-site

As the Product Manager for Data Products, you will be responsible for the strategy, execution, and day-to-day management of VPL's reporting and analytics products. You will partner with customers ...

VPL, Inc

Data Product Manager

Columbus, OH · On-site

As the Product Manager for Data Products, you will be responsible for the strategy, execution, and day-to-day management of VPL's reporting and analytics products. You will partner with customers ...

TekLeaders, Inc

Product Manager

Cincinnati, OH · On-site

Data Platforms, ETL pipelines, stakeholders. * role is ideal for data-savvy product manager with expertise in data platforms, ETL pipelines, enterprise data products management. * Candidate should be ...

Core Specialty

Product Manager, Data

Cincinnati, OH · On-site

The Product Manager for Data leads the product strategy, roadmap, and lifecycle for data and reporting applications serving internal and external users. This role translates business needs into ...

Core Specialty

Product Manager, Data

Cincinnati, OH · Hybrid

- The Product Manager for Data leads the product strategy, roadmap, and lifecycle for data and reporting applications serving internal and external users. This role translates business needs into ...

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All JobsData Product JobsData Product Manager JobsData Product Manager Jobs in Ohio

Data Product Manager information

See Ohio salary details

$49K

$151.5K

$187.3K

How much do data product manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data product manager in Ohio is $151,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,000.00 and $187,300.00 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.

What is the difference between a product manager and a data product manager?

A product manager oversees the development and strategy of a product, focusing on customer needs and business goals, while a data product manager specializes in managing data-driven products, ensuring data quality, analytics, and insights align with organizational objectives. Data product managers often work closely with data engineers and analysts and require knowledge of data tools and metrics. Both roles require strong communication and project management skills, but data product managers have a deeper focus on data governance and technical data aspects.

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.

Is being a data product manager considered a stressful job?

Data product managers often face stress due to managing multiple projects, meeting deadlines, and aligning stakeholder expectations. The role requires strong communication, problem-solving skills, and the ability to handle high-pressure situations, especially in fast-paced environments.

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 are popular job titles related to Data Product Manager jobs in Ohio? For Data Product Manager jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Product Manager jobs in Ohio look for? The top searched job categories for Data Product Manager jobs in Ohio are:
What cities in Ohio are hiring for Data Product Manager jobs? Cities in Ohio with the most Data Product Manager job openings:
Data Product Manager jobs near you
Infographic showing various Data Product Manager job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $151,546 per year, or $72.9 per hour.

Data Product Manager

TekLeaders, Inc

Cincinnati, OH • On-site

Other

Posted 14 days ago

Job description

Role: Data Product Manager

Location: Cincinnati, OH

Duration: Long Term Contract

Job Summary:

We are seeking an experienced Product Manager - Data Platforms & ETL to lead the strategy, roadmap, and lifecycle management of enterprise data products. The ideal candidate will have a strong background in data platforms, ETL pipelines, data product management, and retail sales data ecosystems. This role requires exceptional stakeholder management and communication skills to support legacy transaction log and ETL-based data products while driving customer migration to a modern retail sales data platform.

Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Business, or a related field.
  • Experience in Product Management, Data Product Management, or related roles.
  • Strong experience with enterprise data platforms and data product lifecycle management.
  • Solid understanding of ETL pipelines, data integration, and data warehousing concepts.
  • Experience supporting legacy transaction log (T-Log) data and ETL-based systems.
  • Experience leading migration initiatives to modern cloud or enterprise retail sales data platforms.
  • Excellent stakeholder management and executive communication skills.
  • Strong analytical and problem-solving abilities.
  • Experience working in Agile/Scrum environments.
  • Ability to prioritize competing initiatives while managing multiple stakeholders.

Thanks & Regards,

Lokesh Narapaka

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