Data & Analytics Product Owner - Drive Data-Driven Growth

Huron Consulting Group Inc.; Chicago (IL); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

401(k) plan

Employee stock purchase plan

Paid time off

Parental leave

Job summary

Huron is seeking a Senior Associate Data & Analytics Product Owner to translate business needs into data-driven solutions. You will partner with solution managers and product managers to drive analytics initiatives, lead agile teams, and ensure high-value data products such as BI dashboards and AI-enabled analytics meet business requirements.

You will engage with stakeholders to define acceptance criteria, manage backlogs, and guide delivery while emphasizing data quality and user experience.

Qualifications

• 2-4 years of experience in product ownership or related data/analytics role.
• Exposure to Agile/Scrum delivery practices.
• Understanding of data warehousing, ETL, and data modeling concepts.
• Familiarity with BI platforms like Tableau, Power BI, Looker.

Responsibilities

• Define and communicate data product vision and strategy.
• Lead agile teams as Product Owner to deliver data solutions.
• Coordinate with stakeholders to gather requirements and set acceptance criteria.
• Oversee data product development including BI, data science, or AI-enabled solutions.
• Ensure data quality and monitor product performance.

Skills

Product ownership

Agile/Scrum

Data engineering concepts

BI platforms

Data modeling

Stakeholder engagement

User story writing

Cloud data platforms

Tools

Tableau

Power BI

Looker

Job description

Huron is seeking a Senior Associate Data & Analytics Product Owner to translate business needs into data-driven solutions. You will partner with solution managers and product managers to drive analytics initiatives, lead agile teams, and ensure high-value data products such as BI dashboards and AI-enabled analytics meet business requirements.

You will engage with stakeholders to define acceptance criteria, manage backlogs, and guide delivery while emphasizing data quality and user experience.