Product Owner, Data & Analytics

SunSource•Addison, IL

About The Position

SunSource is seeking a Product Owner of Data and Analytics to lead the strategy, development, governance, and delivery of enterprise data, reporting, and advanced analytics. The role partners with executive, business, and technology leaders to understand enterprise objectives and build analytics capabilities that deliver insights, drive growth, improve margin, strengthen operational excellence, and enhance decision-making in support of 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 Analyst team and partners with Data Engineering teams, sets direction, prioritizes the roadmap, and ensures enterprise value through high-quality analytics solutions. As a member of the IT Leadership Team, the Product Owner contributes to IT strategy, governance, initiative prioritization, budget planning, and alignment with business strategy. The position also requires after-hours availability and travel.

Requirements

Bachelor's or master's degree in Analytics, Computer Science, MIS, Data Science, Engineering, or a related field.
At least 5 years of experience in analytics, BI, or data engineering.
At least 2 years of experience 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.

Nice To Haves

Experience with Databricks, SQL, and Lakehouse ETL/ELT pipelines.
Experience in distribution or manufacturing.

Responsibilities

Develop and own the enterprise analytics strategy, including a multi-year roadmap.
Serve as product owner for analytics, prioritize the backlog, and drive 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 reports and data.
Lead business teams in adopting new capabilities to advance the business.
Lead a Data & Analytics Steering Committee to prioritize and govern investments in support of enterprise goals.
Lead, develop, and coach the BI Analyst team responsible for reporting, dashboards, UX design, and business insights.
Align 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.
Improve development processes, automation, testing, and documentation.
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.
Develop insights that improve growth, margin, customer experience, and operational efficiency.
Advise senior leaders on analytics opportunities and impact.
Manage large programs or project delivery at a tactical level and provide guidance to sponsors and leadership as needed.
Handle conflict professionally, influence without authority in a matrixed environment, provide clarity amid ambiguity, and adapt communication methods to business needs.