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Entry Level Data Product Manager Jobs (NOW HIRING)

EDO

Data Product Operations Manager

Los Angeles, CA · On-site

The Role EDO is seeking a Data Product Operations Manager to ensure the integrity, consistency, and scalability of our data products. This role will own the governance, taxonomy, documentation, and ...

Link Up Overseas

Entry level / Data Entry Clerk (Remote)

$17.50 - $23.25/hr

About the job Entry level / Data Entry Clerk (Remote) We are seeking an entry-level Data Entry ... Managing and organizing large amounts of data. * Maintaining confidentiality and security of all ...

Link Up Overseas

Entry level / Data Entry Clerk (Remote)

$17.50 - $23.25/hr

Entry Level / Data Entry Clerk (Remote) We are seeking an entry-level Data Entry Clerk to join our ... data entered, managing and organizing large amounts of data, maintaining confidentiality and ...

Isalys Group

Entry-Level Expert in Data Entry

San Antonio, TX · On-site

$15.50 - $20.75/hr

Key Responsibilities*: - Enter and manage data accurately, ensuring that it is complete and correct ... As a Remote Entry-Level Data Entry Specialist, you will not only improve your data handling ...

Omm IT Solutions

Data & Product Analyst

Mclean, VA

You will collaborate with product managers, business stakeholders, data engineers, architects, and QA teams to analyze complex datasets, improve data quality, support Master Data Management (MDM) and ...

Link Up Overseas

Remote Data Entry Assistant - Junior

$17.25 - $22.75/hr

We have an exciting opportunity for an Entry Level Data Entry Assistant to join our team and contribute to our mission of delivering exceptional data management solutions. * Responsibilities:

Midway Staffing

Entry-Level Data Entry

Oakdale, PA · On-site

$18.51/hr

Entry-Level Data Entry- Now Hiring! Are you tech-savvy, detail-driven, and ready to be the backbone ... Support daily logistics: manage work orders and assist with vehicle check-ins. * Handle inbound ...

Link Up Overseas

Virtual Data Entry Assistant (Part-Time)

$17.25 - $22.75/hr

Remote Entry-Level Data Entry Assistant Are you looking for an exciting opportunity to kickstart your career in data management? Do you have an eye for detail and a passion for organizing information?

Link Up Overseas

Data Entry Clerk / Part Time (Remote)

$17.50 - $23.25/hr

... Entry-Level Data Entry Clerk and kickstart your career in the world of data management ... overall productivity. * Maintain confidentiality and comply with data security policies and ...

Epsilon

Lead Data Product Engineer

Chicago, IL

$118K - $141K/yr

Partner with Product Managers and technical teams to investigate data discrepancies or gaps * Serve as a trusted point of contact for "how does this data work?" questions Documentation & Knowledge ...

Link Up Overseas

Remote Entry-Level Data Entry Specialist

$17.50 - $23.25/hr

About the job Remote Entry-Level Data Entry Specialist Are you a meticulous and detail-oriented individual with a passion for data management? Are you looking for an exciting entry-level opportunity ...

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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 Jul 16, 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 is the entry-level position for a product manager?

An entry-level product manager role typically involves supporting product development teams, conducting market research, and assisting with product lifecycle management. Candidates often have a background in business, marketing, or related fields, and may use tools like JIRA or Trello. This position provides foundational experience for advancing to more senior product management roles.

Are PMs in high demand?

Entry level data product managers are in increasing demand as organizations focus on data-driven decision making and digital transformation. Skills in data analysis, product management, and familiarity with tools like SQL and analytics platforms enhance job prospects in this field.

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.

Can I be a product manager with no experience?

Entry level data product managers can sometimes enter the role without prior experience if they have relevant skills such as data analysis, understanding of product lifecycle, and familiarity with tools like SQL or Excel. Many employers value transferable skills, internships, or certifications in product management or data analysis to qualify for such positions.

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.

Which is better, PO or PM?

For an entry-level Data Product Manager role, the distinction between Product Owner (PO) and Product Manager (PM) often depends on the company's structure. A PO typically focuses on managing the product backlog and working closely with development teams, while a PM oversees the product strategy, market research, and stakeholder communication. Both roles require strong communication skills and understanding of data tools, but PM roles generally involve broader strategic 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:
What states have the most Entry Level Data Product Manager jobs? States with the most job openings for Entry Level Data Product Manager jobs include:
Entry Level Data Product Manager jobs near you
Data Product Operations Manager

Data Product Operations Manager

EDO

Los Angeles, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago

Job description

Who We Are
EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression-across linear and streaming for an increasingly programmatic world.
By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results, with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO's TV intelligence to know what works.
EDO is headquartered in New York City and Los Angeles with an office in San Francisco. We recognize the benefits of hybrid working and maintain a policy of three days in the office and two remote work days.
The Role
EDO is seeking a Data Product Operations Manager to ensure the integrity, consistency, and scalability of our data products. This role will own the governance, taxonomy, documentation, and operational processes that underpin how our data is defined, managed, and consumed across the organization. As our data ecosystem continues to grow in complexity, this individual will serve as the steward of our business definitions, metrics, entities, dimensions, and metadata. They will ensure that data consumers-from Product and Engineering to Data Science, Analytics, and Client Services-have a clear and consistent understanding of the data that powers our products and insights.
This is a highly hands-on role. The ideal candidate enjoys diving into data models, pipeline logic, business definitions, and documentation while also building the processes and governance mechanisms that keep them accurate over time.
What You Will Do
Own Data Taxonomy & Business Definitions
  • Develop and maintain the company's data taxonomy, including business entities, metrics, dimensions, classifications, and naming conventions.
  • Establish authoritative definitions for key business concepts and data products.
  • Ensure consistent usage of definitions across reporting, analytics, applications, and customer-facing products.
  • Manage the lifecycle of data definitions, including creation, modification, deprecation, and communication of changes.

Drive Data Product Governance
  • Establish processes for reviewing, approving, and documenting changes to metrics, calculations, and business logic.
  • Partner with Product, Data Science, and Engineering teams to ensure definitions remain aligned as products and pipelines evolve.
  • Resolve ambiguities and inconsistencies in business terminology and data interpretation.
  • Create governance standards that balance consistency with the need for rapid innovation.

Maintain Metadata & Documentation
  • Build and maintain comprehensive data dictionaries, business glossaries, and metadata repositories.
  • Document data lineage, transformation logic, calculation methodologies, and business rules.
  • Ensure documentation stays synchronized with changes to data pipelines, models, and applications.
  • Identify and close gaps in documentation and metadata coverage.

Improve Data Product Operations
  • Create operational processes that improve trust, discoverability, and usability of data assets.
  • Define standards for data quality, documentation completeness, and metadata management.
  • Partner with Engineering teams to automate metadata collection, lineage tracking, and governance workflows where possible.
  • Monitor and report on the health and maturity of the organization's data management practices.

Recurring Delivery Operations
  • Own the operational cadence for data products delivered on a continuous, scheduled basis-ensuring every recurring deliverable is produced reliably, accurately, and on time.
  • Maintain a clear picture of all active delivery workstreams, deadlines, and cross-team dependencies; surface risks and blockers early before they affect clients.
  • Coordinate across Engineering, Data Science, Analytics, and Client Services to keep delivery workflows moving without gaps or handoff failures.
  • Build and maintain internal delivery trackers and status dashboards that give the team clear visibility into what's due, what's at risk, and what's been shipped.

Client Delivery Support & Relationship Management
  • Serve as the primary operational point of contact for clients with active, subscription-based data relationships-receiving issue reports and translating them into clear internal action items.
  • Track internal progress against client delivery commitments and proactively flag when timelines are at risk, escalating through the right channels to protect the client relationship.
  • When internal capacity or complexity requires more time, negotiate adjusted timelines with clients in a way that preserves trust while creating realistic space for the team to deliver.
  • Maintain ongoing communication with clients to provide status updates and set accurate expectations-so clients always know where things stand without having to chase for answers.

Operational Improvement Advocacy
  • Identify and document recurring friction points in the delivery process-whether rooted in manual workflows, tooling gaps, unclear ownership, or process breakdowns.
  • Translate operational pain into structured, evidence-backed proposals for Engineering and Product teams, making the case for investments in tooling, automation, or process redesign.
  • Work closely with Engineering and Product to prioritize and implement improvements that meaningfully reduce delivery risk and increase team throughput over time.
  • Represent the needs of delivery operations in cross-functional planning discussions, ensuring operational capacity is factored into product and engineering roadmaps.

Cross-Functional Leadership
  • Act as the connective tissue between Product, Engineering, Data Science, Analytics, and Business stakeholders.
  • Translate technical implementations into clear business-facing definitions and documentation.
  • Drive adoption of governance standards through education, training, and stakeholder engagement.
  • Serve as the source of truth for questions related to metric definitions, data lineage, and business terminology.
What We Are Looking For
  • 5+ years of experience in data governance, analytics engineering, data management, business intelligence, data architecture, or related fields.
  • Experience creating and maintaining business glossaries, metric catalogs, taxonomies, or metadata management programs.
  • Strong understanding of data warehousing, ETL/ELT pipelines, dimensional modeling, and analytics workflows.
  • Ability to understand and document complex data transformations and business logic.
  • Excellent written communication and documentation skills.
  • Strong attention to detail and passion for creating clarity from complexity.
  • Familiarity with data governance, lineage, and metadata management best practices.
  • Track record operating in a fast-growing data-driven technology company.
  • Experience with Snowflake, dbt, or modern cloud data platforms.
  • Experience with data catalog and metadata management tools such as Atlan, Alation, Collibra, DataHub, or similar platforms.
Compensation & Benefits
EDO offers a competitive compensation package. Components of compensation include:
  • Mid-stage equity and competitive salary
  • Flexible Time Off
  • Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
  • 401(k) plan, FSA, HSA
  • Commuter Benefits
  • When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $110,000-$130,000. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, location, key skills, training, and business considerations.

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