Product Owner - Data & Analytics

Talent Management Plus, Inc.

Addison (IL)

Hybrid

USD 125,000 - 155,000

Full time

14 days+

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Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Employee assistance program

Health insurance

Life insurance

Paid time off

Retirement plan

Vision insurance

Job summary

Talent Management Plus, Inc. is seeking a Product Owner for Data & Analytics to lead the analytics ecosystem and align initiatives with enterprise goals.

You will guide BI Analysts and collaborate with Data Engineering to deliver data-driven insights across the organization. You will define the analytics strategy, establish reporting standards, and drive Agile delivery while partnering with FP&A, Strategy, and business owners to enable analytics adoption across the enterprise.

Qualifications

5+ years of experience in analytics, business intelligence, or data engineering.
2+ years leading analytics teams.
Expert Power BI experience including DAX, semantic models, and visualization.
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.

Responsibilities

Define and own the enterprise analytics strategy and multi-year roadmap, serving as the product owner for analytics initiatives.
Establish and maintain Power BI reporting and visualization standards to ensure consistency and usability.
Lead data governance, data quality, and data consistency efforts across the organization.
Drive Agile delivery, provide Scrum leadership, and manage backlog prioritization to maximize value.
Foster cross-functional partnerships with business units to enable analytics adoption and enablement.
Advance analytics maturity across the enterprise through structured programs and initiatives.
Collaborate with FP&A, Strategy, and business owners to enhance capabilities that support growth.
Prioritize analytics backlogs, drive adoption of new capabilities, and align initiatives with strategic programs.
Define reporting standards, semantic models, data definitions, and data quality practices.
Partner with business leaders to align analytics projects with enterprise programs and priorities.
Define and manage KPIs, dashboards, and actionable insights that support enterprise objectives.
Ensure the quality and consistency of enterprise reporting, including reports and data.
Lead business teams in delivering new analytics capabilities to advance the business.
Chair the Data & Analytics Steering Committee to prioritize and govern investments.
Develop, coach, and lead the BI Analyst team responsible for reporting, dashboards, UX design, and insights.
Maintain alignment among reporting, engineering, governance, and business stakeholders.
Establish team structure, goals, and a high-performance analytics culture.
Manage third-party vendor partnerships for analytics delivery and the BI budget.
Lead Scrum ceremonies, manage capacity planning, and ensure timely delivery of analytics solutions.
Promote continuous improvement in development processes, automation, testing, and documentation.
Establish and lead the organization’s data governance program, including data standards and metadata practices.
Partner with business units to enhance ownership of master data domains and scalable data models.
Improve data trust, lineage, and transparency across the enterprise.
Develop analytics insights addressing growth, margin, customer experience, and operational efficiency in distribution and related areas.
Serve as a trusted advisor to senior leaders on analytics opportunities and impact.
Demonstrate the ability to manage large programs from a tactical level and guide sponsorship as needed.
Influence effectively in a matrixed environment and provide clarity amid ambiguity through varied communication methods.

Skills

Analytics leadership

Team leadership

Agile/Scrum leadership

Product ownership (analytics)

Education

Bachelor's degree in Computer Science / Data Science / Engineering

Tools

Power BI

Databricks

SQL

DAX

Job description

Talent Management Plus, Inc. seeks a Product Owner for Data & Analytics to lead the analytics ecosystem, define strategy and governance, prioritize backlogs, and ensure alignment with business goals. The role guides BI Analysts and collaborates with Data Engineering to deliver data-driven insights across the enterprise.

Responsibilities

Define and own the enterprise analytics strategy and multi-year roadmap, serving as the product owner for analytics initiatives.
Establish and maintain Power BI reporting and visualization standards to ensure consistency and usability.
Lead data governance, data quality, and data consistency efforts across the organization.
Drive Agile delivery, provide Scrum leadership, and manage backlog prioritization to maximize value.
Foster cross-functional partnerships with business units to enable analytics adoption and enablement.
Advance analytics maturity across the enterprise through structured programs and initiatives.
Collaborate with FP&A, Strategy, and business owners to enhance capabilities that support growth.
Prioritize analytics backlogs, drive adoption of new capabilities, and align initiatives with strategic programs.
Define reporting standards, semantic models, data definitions, and data quality practices.
Partner with business leaders to align analytics projects with enterprise programs and priorities.
Define and manage KPIs, dashboards, and actionable insights that support enterprise objectives.
Ensure the quality and consistency of enterprise reporting, including reports and data.
Lead business teams in delivering new analytics capabilities to advance the business.
Chair the Data & Analytics Steering Committee to prioritize and govern investments.
Develop, coach, and lead the BI Analyst team responsible for reporting, dashboards, UX design, and insights.
Maintain alignment among reporting, engineering, governance, and business stakeholders.
Establish team structure, goals, and a high-performance analytics culture.
Manage third-party vendor partnerships for analytics delivery and the BI budget.
Lead Scrum ceremonies, manage capacity planning, and ensure timely delivery of analytics solutions.
Promote continuous improvement in development processes, automation, testing, and documentation.
Establish and lead the organization’s data governance program, including data standards and metadata practices.
Partner with business units to enhance ownership of master data domains and scalable data models.
Improve data trust, lineage, and transparency across the enterprise.
Develop analytics insights addressing growth, margin, customer experience, and operational efficiency in distribution and related areas.
Serve as a trusted advisor to senior leaders on analytics opportunities and impact.
Demonstrate the ability to manage large programs from a tactical level and guide sponsorship as needed.
Influence effectively in a matrixed environment and provide clarity amid ambiguity through varied communication methods.

Requirements

5+ years of experience in analytics, business intelligence, or data engineering
2+ years leading analytics teams
Expert experience with Power BI including DAX, semantic models, and visualization
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
Degree in Computer Science, Data Science, Engineering, or a related field

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