Product Owner, Data & Analytics

SunSource is a growing company seeking a highly talented and passionate Product Owner of Data and Analytics to lead the strategy, development, governance, and delivery of enterprise data, reporting, and advanced analytics. This role will work closely with executive, business, and technology leadership to understand enterprise objectives and build an analytics organization that delivers insights, drives growth, improves margin, strengthens operational excellence, and enhances decision-making across SunSource to support Organic and Inorganic Growth. The Product Owner is responsible for the analytics ecosystem—including Power BI, Databricks, data modeling, data governance, data catalog and master data management practices. The role leads the BI Analysts and partners with the Data Engineering teams, sets direction, prioritizes the roadmap, and ensures enterprise value creation through high-quality analytics solutions. As a member of the IT Leadership Team, the Product Owner will contribute to IT strategy, governance, prioritization of initiatives, budget planning, and alignment to the business strategy.

Responsibilities

Partner with FP&A, Strategy and Business Owners to advance capabilities to support growth; Develop and own enterprise analytics strategy, including a multi-year roadmap; Serve as product owner for analytics, prioritizing 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 supporting enterprise objectives; Own quality and consistency of enterprise reporting 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; Lead, develop, and coach 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 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; Establish and lead 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 supporting enterprise-wide reporting; Improve trust, lineage, and transparency of enterprise data; Understand key aspects of distribution business model including pricing, margin, inventory, and sales; Develop insights that improve growth, margin, customer experience, and operational efficiency; Act as trusted advisor to senior leaders on analytics opportunities and impact

Requirements

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; Experience serving as product owner for analytics or data-driven initiatives; Strong Agile/Scrum leadership experience; Excellent communication and executive presentation skills; After hours availability and travel are required; 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

Nice to have

Databricks; SQL; Lakehouse ETL/ELT pipelines; Distribution or Manufacturing experience