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Entry Level Data Product Manager Jobs (NOW HIRING)

Data Product Manager Job Details * Data Product Manager (Contract) * Location: San Jose, CA (Hybrd) * Duration: 9/01/2025 to 4/30/2026 * Team: Data and Analytics_AMER Key Responsibilities: * Help ...

THE POSITION Our roster has an opening with your name on it We are looking for a Data Product Manager to join our Data Products team within our Data organization. This role will focus specifically on ...

Hello , We are sourcing for Data Product Manager with one of our Direct Client in Menlo Park, CA. Please go through to the below and of you feel comfortable with the Required skills and ...

THE POSITION Our roster has an opening with your name on it We are looking for a Data Product Manager to join our Data Products team within our Data organization. This role will focus specifically on ...

THE POSITION Our roster has an opening with your name on it We are looking for a Data Product Manager to join our Data Products team within our Data organization. This role will focus specifically on ...

THE POSITION Our roster has an opening with your name on it We are looking for a Data Product Manager to join our Data Products team within our Data organization. This role will focus specifically on ...

Senior Data Product Manager

Denver, CO ยท On-site

$120K - $160K/yr

We're looking for a Senior Data Product Manager to help accelerate OrthoFi's transformation into a truly data-driven organization. In this role, you'll define the strategy and execution framework for ...

Senior Data Product Manager

Chicago, IL

$88K - $111K/yr

Overview The Senior Professional, Data Product Management is an individual contributor role focused on handling the day - to - day operational questions and tasks related to Epsilon ' s data products.

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Entry Level Data Product Manager information

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$51.5K

$159.4K

$197K

How much do entry level data product manager jobs pay per year?

As of Jun 25, 2026, the average yearly pay for entry level data product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What does an Entry Level Data Product Manager do?

An Entry Level Data Product Manager helps oversee the development and management of data-driven products, working closely with engineering, analytics, and business teams. Their responsibilities often include gathering requirements from stakeholders, prioritizing product features, and ensuring that data products align with business goals. They may also participate in data analysis, help design product roadmaps, and assist in measuring product performance. This role serves as a bridge between technical and non-technical teams, making communication skills crucial.

What are the key skills and qualifications needed to thrive as an Entry Level Data Product Manager, and why are they important?

To thrive as an Entry Level Data Product Manager, you need a solid understanding of data analysis, product lifecycle management, and business acumen, often supported by a degree in business, data science, or a related field. Familiarity with tools like SQL, Excel, Tableau, and product management platforms such as Jira or Trello is typically required. Strong communication, problem-solving, and collaboration skills help you effectively coordinate with cross-functional teams and stakeholders. These competencies are essential for translating data insights into actionable product strategies and ensuring successful product outcomes.

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

AspectEntry Level Data Product ManagerData Analyst
Required CredentialsBachelor's degree in Business, Computer Science, or related field; some knowledge of product management and data toolsBachelor's degree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborates with product teams, engineers, and stakeholders to develop data-driven productsAnalyzes data sets to generate reports and insights for business decisions
Employer & Industry UsageTech companies, e-commerce, finance, and startups focusing on data productsVarious industries including marketing, finance, healthcare, and retail

While both roles involve working with data, an Entry Level Data Product Manager focuses on developing and managing data-driven products and collaborating across teams, whereas a Data Analyst primarily analyzes data to generate insights. The roles often overlap in skills but differ in scope and responsibilities.

What are some common challenges faced by Entry Level Data Product Managers, and how can they effectively overcome them?

As an Entry Level Data Product Manager, a common challenge is balancing stakeholder expectations with the technical limitations of data systems. You may also encounter difficulties in prioritizing features or improvements due to limited resources. Effective communication and collaboration with engineering, data science, and business teams are crucial for success. Familiarizing yourself with agile methodologies and regularly seeking feedback can help you navigate these challenges and grow in your role.
What cities are hiring for Entry Level Data Product Manager jobs? Cities with the most Entry Level Data Product Manager job openings:
What are the most commonly searched types of Data Product Manager jobs? The most popular types of Data Product Manager jobs are:
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Other

Posted 3 days ago


Job description

Role: Data Product Manager

Location: Alexandria, VA

Duration: 6 months Contract

Job Description:
Looking for a Data Product Manager with strong expertise in MSSQL, PostgreSQL, advanced SQL, Power BI, Data Architecture, Data Quality Management and People Management.
The role involves owning the end-to-end lifecycle of data products, including defining product strategy, designing scalable data architectures, and delivering high-quality analytics solutions that drive business insights.

The candidate will:
Develop and optimize complex SQL queries and manage data across MSSQL and PostgreSQL
Design and deliver Power BI dashboards and reports to convert data into actionable insights.
Architect data models, pipelines, and data platforms to enable scalable analytics
Implement and manage data quality frameworks ensuring accuracy, consistency, and reliability
Utilize tools like Ataccama and Dataedo for data quality, governance, and metadata management
Collaborate with cross-functional teams to align data solutions with business needs