Data & Analytics Product Owner - Finance
HuronAbout the role
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.
A key focus will be championing self-service BI and AI/BI adoption across F&A, leveraging a newly completed enterprise semantic model as the trusted data foundation. The ideal candidate brings strong knowledge of financial processes and ERP systems, proven Product Owner experience in a data or analytics environment, and the ability to navigate complex cross-functional stakeholder relationships. Familiarity with Workday Financials is a plus.
The Data & Analytics Product Owner – Finance, Senior Associate leads agile delivery of finance-domain data products across Financial Planning & Analysis, General Ledger, Procure-to-Pay, Professional Services, Contract Lifecycle Management, and related functional areas. Working within a defined product vision and roadmap, this role translates finance business requirements into actionable delivery — owning the backlog, driving sprint execution, and championing self-service BI adoption across the Finance & Accounting organization.
Responsibilities
Backlog Ownership & Delivery
- Owns and maintains the finance-domain product backlog, ensuring stories are well-defined, prioritized, and ready for development
- Translates finance business requirements into user stories, features, and acceptance criteria
- Leads backlog refinement, sprint planning, and story elaboration sessions
- Makes day-to-day decisions on scope and priorities to maintain team velocity and deliver value
- Participates actively in daily stand-ups, sprint reviews, and retrospectives
- Collaborates with Scrum Master to remove impediments and support team performance
Finance Domain Expertise
- Maintains deep understanding of transactional systems and financial data across the Finance domain
- Applies knowledge of financial processes — including close cycles, financial reporting, and ERP workflows — to inform requirements and delivery decisions
- Navigates the intersection of ERP reporting and BI analytics, understanding which solutions are owned by the analytics team, the Workday/ERP team, or require cross-functional collaboration
- Ensures finance data products adhere to relevant financial data standards and governance requirements
Stakeholder Engagement
- Acts as the primary day-to-day liaison between Finance & Accounting stakeholders and the analytics development team
- Conducts regular working sessions with F&A operational contacts to gather requirements, validate solutions, and provide delivery updates
- Facilitates alignment between technical capabilities and finance business needs
- Communicates clearly across technical and non-technical audiences
Finance Data Product Development
- Guides development of finance analytics solutions including dashboards, reports, and self-service BI tools spanning P2P, PSA, CLM, GL, Payroll, Tax, Treasury, Revenue, and FP&A
- Champions adoption of self-service Power BI capabilities within the Finance & Accounting organization, leveraging the enterprise semantic model as the trusted foundation
- Drives data literacy initiatives that enable finance stakeholders to independently access and interpret data
- Collaborates with data engineers and architects on data modeling and technical design
- Applies best practices in data visualization, financial reporting, and analytics
Quality & Delivery<
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