Data & Analytics Product Owner - Resource Management Analytics

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.

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

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 (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

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

Position Level

Senior Associate

Country

United States of America