Data & Analytics Product Owner - Resource Management Analytics

Huron•Chicago, IL

About The Position

The Data & Analytics Product Owner, Senior Associate supports agile development teams in delivering data products that drive business value. The role works closely with solution managers and product managers to translate business needs into data solutions. At the Senior Associate level, the Product Owner is expected to understand business processes, transactional systems, and data in their focused domain.

Requirements

2–4 years of experience in product ownership, business analysis, or a 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 such as 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.

Nice To Haves

Certified Scrum Product Owner (CSPO), CSM, or similar agile certification.
Exposure to cloud data platforms such as AWS, Azure, or GCP.
Interest in data visualization design principles.

Responsibilities

Support business leaders in identifying opportunities for data-driven solutions.
Contribute to product roadmap development for data and analytics initiatives.
Help translate business goals into product requirements, features, and user stories.
Prioritize backlog items under the guidance of a solution manager, in coordination with other product owners, product managers, and stakeholders.
Participate as Product Owner for agile development teams or specific product features.
Support backlog refinement, sprint planning, and story elaboration sessions.
Participate in daily stand-ups, sprint reviews, and retrospectives.
Provide input on scope and priorities to support team velocity and value delivery.
Work with Scrum Masters and RTEs to address team needs.
Support communication between business stakeholders and development teams.
Participate in stakeholder meetings to gather requirements and provide updates.
Help align technical capabilities with business needs.
Assist in defining acceptance criteria for deliverables and features, including data quality rules.
Lead development of analytics solutions, including BI products, data science, and AI-integrated data solutions.
Review data products to ensure they meet quality standards and business requirements.
Collaborate with data engineers and architects on data modeling and technical design.
Apply best practices in data visualization, user experience, and analytics.
Review completed work to ensure alignment with requirements.
Track product performance metrics and user adoption.
Contribute to continuous improvement initiatives in product features and team processes.