Product Owner, Data & Analytics

Key Responsibilities

Analytics & Data Focus Areas

Enterprise Analytics Strategy & Product Ownership

Power BI Reporting & Visualization Standards

Drive Data Governance, Data Quality & Consistency

Agile Delivery, Scrum Leadership & Backlog Prioritization

Cross-Functional Business Partnership & Enablement

Advancing Analytics Maturity across the Enterprise

Enterprise Analytics Strategy & Product Ownership

Partner with FP&A, Strategy and Business Owners to advance our capabilities to support growth

Develop and own the enterprise analytics strategy, including a multi-year roadmap.

Serve as product owner for analytics, prioritizing the backlog and driving adoption.

Establish standards for reporting, semantic models, data definitions, and data quality.

Partner with business leaders to align analytics initiatives with strategic programs.

Define and manage KPIs, dashboards, and insights that support enterprise objectives.

Own the quality and consistency of enterprise reporting – reports and data

Lead business teams on new capabilities to advance the business

Lead a Data & Analytics Steering Committee to prioritize and govern data and analytics investments to meet the enterprise goals

Team Leadership & Delivery

Lead, develop, and coach the BI Analyst team responsible for reporting, dashboards, UX design, and business insights.

Ensure strong alignment between reporting, engineering, governance, and business stakeholders.

Develop team structure, goals, and a high-performance analytics culture.

Manage and build third party vendor partnerships for analytics delivery

Manage and optimize the BI & Analytics budget

Lead Scrum ceremonies including sprint planning, backlog refinement, standups, and retrospectives.

Manage capacity planning and ensure timely delivery of analytics solutions.

Drive continuous improvement in development processes, automation, testing, and documentation.

Data Governance & Data Management

Establish and lead the organization's data governance program.

Define enterprise data standards, data quality policies, and metadata practices.

Partner with business units to improve ownership of master data domains.

Ensure scalable, governed data models that support enterprise-wide reporting.

Improve trust, lineage, and transparency of enterprise data.

Business Alignment & Industry Expertise

Understand key aspects of the distribution business model including pricing, margin, inventory, and sales.

Develop insights that improve growth, margin, customer experience, and operational efficiency.

Act as a trusted advisor to senior leaders on analytics opportunities and impact.

Leadership Behaviors & SunSource Mindset Requirements

Must be able to manage a large program or project delivery from a tactical level, and provide guidance where necessary to sponsorship/leadership

Must handle conflict resolution professionally.

Must influence without authority in a highly matrixed environment.

Must be able to work in an environment where things are not always clear and then be able to provide clarity

Must master different communication methods and pivot quickly according to business needs.

Required Qualifications

Bachelor’s or Master’s Degree in Analytics, Computer Science, MIS, Data Science, Engineering, or related field.

5+ years of experience in analytics, BI, or data engineering

2+ years leading analytics teams

Expert experience with Power BI including DAX, semantic models, and visualization.

Preferred experience with Databricks, SQL, and Lakehouse ETL/ELT pipelines.

Experience serving as product owner for analytics or data-driven initiatives.

Strong Agile/Scrum leadership experience.

Excellent communication and executive presentation skills.

Experience in Distribution or Manufacturing preferred.

After hours availability and travel are required.