Entry Level Data Product Manager Jobs
New grad data product manager jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings mix on-site, remote, and hybrid settings across Technology & Software, Investment & Asset Management, and Electronics & Hardware, with employers like Oracle, TikTok, and Fivetran hiring at this level now.
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Showing 5 of 8+ Entry Level Data Product Manager jobs
INTRODUCTION
Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.
As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.
Join our team and create your future.
ROLE AND RESPONSIBILITIES
The Data & Analytics Product Owner, Senior Associate supports agile development teams in delivering data products that drive business value. This role works closely with solution managers, product managers to translate business needs into data solutions. At the Senior Associate level, Data & Analytics Product Owners are expected to understand business processes, transactional systems, and data in their focused domain.
Responsibilities
Product Vision & Strategy
- Supports business leaders in identifying opportunities for data-driven solutions
- Contributes to product roadmap development for data and analytics initiatives
- Assists in translating business goals into product requirements, features, and user stories
- Prioritizes backlog items under guidance of a solution manager, in coordination with other product owners, product managers, and stakeholders
Agile Team Leadership
- Participates as Product Owner for agile development teams or specific product features
- Supports backlog refinement, sprint planning, and story elaboration sessions
- Actively participates in daily stand-ups, sprint reviews, and retrospectives
- Provides input on scope and priorities to support team velocity and value delivery
- Works with Scrum Master and RTEs to address team needs
Stakeholder Management
- Supports communication between business stakeholders and development teams
- Participates in stakeholder meetings to gather requirements and provide updates
- Helps facilitate alignment between technical capabilities and business needs
- Assists in defining acceptance criteria for deliverables
Data Product Development
- Leads the development of analytics solutions including BI products, data science, and AI-integrated data solutions
- Reviews data products to ensure they meet quality standards and business requirements
- Collaborates with data engineers and architects on data modeling and technical design
- Applies best practices in data visualization, user experience, and analytics
Quality & Delivery
- Helps define acceptance criteria for features, including data quality rules
- Participates in reviewing completed work to ensure alignment with requirements
- Tracks product performance metrics and user adoption
- Contributes to continuous improvement initiatives in product features and team processes
BASIC QUALIFICATIONS
Required
- 2-4 years of experience in product ownership, business analysis, or related role in data/analytics domains
- Exposure to Agile/Scrum methodologies and delivery practices
- Basic understanding of data engineering principles, data warehousing, or ETL processes
- Familiarity with BI and analytics platforms (Databricks, Tableau, Power BI, Looker, or similar)
- Understanding of data modeling or database design concepts
- Good communication and stakeholder engagement skills
- Ability to learn technical concepts and communicate them to different audiences
- Experience or willingness to learn user story writing, acceptance criteria, and backlog management
PREFERRED QUALIFICATIONS
- Certified Scrum Product Owner (CSPO), CSM, or similar agile certification
- Exposure to cloud data platforms (AWS, Azure, GCP)
- Interest in data visualization design principles
COMPENSATION
- The estimated base salary for this job is $100,000 - $135,000 USD. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $115,000 - $155,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.
POSITION LEVEL
Senior Associate
COUNTRY
United States of America
INTRODUCTION
Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.
As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.
Join our team and create your future.
ROLE AND RESPONSIBILITIES
The Data & Analytics Product Owner, Senior Associate supports agile development teams in delivering data products that drive business value. This role works closely with solution managers, product managers to translate business needs into data solutions. At the Senior Associate level, Data & Analytics Product Owners are expected to understand business processes, transactional systems, and data in their focused domain.
Responsibilities
Product Vision & Strategy
- Supports business leaders in identifying opportunities for data-driven solutions
- Contributes to product roadmap development for data and analytics initiatives
- Assists in translating business goals into product requirements, features, and user stories
- Prioritizes backlog items under guidance of a solution manager, in coordination with other product owners, product managers, and stakeholders
Agile Team Leadership
- Participates as Product Owner for agile development teams or specific product features
- Supports backlog refinement, sprint planning, and story elaboration sessions
- Actively participates in daily stand-ups, sprint reviews, and retrospectives
- Provides input on scope and priorities to support team velocity and value delivery
- Works with Scrum Master and RTEs to address team needs
Stakeholder Management
- Supports communication between business stakeholders and development teams
- Participates in stakeholder meetings to gather requirements and provide updates
- Helps facilitate alignment between technical capabilities and business needs
- Assists in defining acceptance criteria for deliverables
Data Product Development
- Leads the development of analytics solutions including BI products, data science, and AI-integrated data solutions
- Reviews data products to ensure they meet quality standards and business requirements
- Collaborates with data engineers and architects on data modeling and technical design
- Applies best practices in data visualization, user experience, and analytics
Quality & Delivery
- Helps define acceptance criteria for features, including data quality rules
- Participates in reviewing completed work to ensure alignment with requirements
- Tracks product performance metrics and user adoption
- Contributes to continuous improvement initiatives in product features and team processes
BASIC QUALIFICATIONS
Required
- 2-4 years of experience in product ownership, business analysis, or related role in data/analytics domains
- Exposure to Agile/Scrum methodologies and delivery practices
- Basic understanding of data engineering principles, data warehousing, or ETL processes
- Familiarity with BI and analytics platforms (Databricks, Tableau, Power BI, Looker, or similar)
- Understanding of data modeling or database design concepts
- Good communication and stakeholder engagement skills
- Ability to learn technical concepts and communicate them to different audiences
- Experience or willingness to learn user story writing, acceptance criteria, and backlog management
PREFERRED QUALIFICATIONS
- Certified Scrum Product Owner (CSPO), CSM, or similar agile certification
- Exposure to cloud data platforms (AWS, Azure, GCP)
- Interest in data visualization design principles
COMPENSATION
- The estimated base salary for this job is $100,000 - $135,000 USD. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $115,000 - $155,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs.
POSITION LEVEL
Senior Associate
COUNTRY
United States of America
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Electronics & Hardware
- Consulting & Professional Services
Entry Level Data Product Manager Jobs: Frequently Asked Questions
How do I get an entry level data product manager job?
Entry level data product manager roles reward candidates who can show hands-on work over credentials alone. Build a portfolio that demonstrates you can define a problem, analyze data, and communicate a product decision. Coursework projects, capstone work, or internships all count. Familiarity with SQL, basic analytics tools, and product frameworks like user stories gives you a practical edge at this stage.
Which companies hire entry level data product managers?
Companies hiring entry level data product managers right now include Oracle, TikTok, and Fivetran, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including growth-stage startups building out data teams and established technology and financial services firms running structured new-grad programs.
Are there remote entry level data product manager jobs?
Yes, though on-site and hybrid roles still make up a significant share of the market. About 29% of entry level data product manager openings are remote or hybrid as of November 2026, giving candidates flexibility on location without limiting the range of companies they can apply to at this stage.
Are these new grad data product manager jobs?
Yes. The listings here include new grad, recent graduate, and junior data product manager roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internship or project work in place of full-time history, or explicitly invites candidates with a strong portfolio. If you are a new grad entering the field, these listings are written for you.
Which industries hire the most entry level data product managers?
Entry Level data product manager roles concentrate in Technology & Software, Investment & Asset Management, and Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they generate large volumes of user or operational data and rely on product thinking to turn that data into decisions and features.