Product Owner, Business Intelligence, Automation, and AI

TireHub•Dunwoody, GA

48d

About The Position

The Product Owner, Business Intelligence, Automation and AI plans and coordinates the development, enhancement, prioritization, and adoption of AI, automation, data warehouse, and Power BI reporting products in partnership with TireHub’s business teams. The role provides product leadership and subject matter expertise across intelligent automation, applied AI, enterprise data, analytics, and reporting. It serves as the primary liaison among business stakeholders, technical teams, vendors, and leadership to align product roadmaps, backlogs, and delivered solutions with strategic priorities, operational needs, governance standards, and measurable business value. This position reports to the Director, Enterprise Applications. The Product Owner defines and communicates product roadmaps, identifies and prioritizes valuable business use cases, manages product backlogs and Agile delivery, and guides teams through solution delivery and adoption. The role collaborates with AI, automation, data engineering, and BI teams on solutions ranging from workflow automation and AI-enabled processes to data warehouse capabilities, Power BI dashboards, datasets, reports, and KPIs. It also supports governance, security, privacy, quality assurance, user acceptance testing, adoption, and continuous improvement. The role operates in a fast-paced, dynamic environment. Most work is spent sitting and viewing monitors in a comfortable position, with frequent opportunities to move around and occasional movement or lifting of light articles. Flexible hours may be needed for critical system changes and emergencies, and travel of up to 10% is required. The individual is expected to demonstrate TireHub’s commitments of being approachable, adventurous, relentless, and speedy, and to follow company policies, procedures, and guidelines.

Requirements

Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Business, Engineering, or a related field, or an equivalent combination of education and experience.
At least 5 years of experience in product ownership, business analysis, product management, data analytics, business intelligence, automation, enterprise applications, or a related technology delivery role.
At least 2 years of experience applying Agile project management methodologies, preferably using JIRA or a similar tool.
Experience creating product roadmaps, managing backlogs, writing user stories, defining acceptance criteria, and supporting Agile and Scrum delivery teams.
Experience translating business requirements into technical specifications for data, reporting, automation, or AI-enabled solutions.
Strong understanding of product ownership practices, Agile delivery, backlog management, sprint planning, and stakeholder prioritization.
Ability to analyze business processes, identify operational pain points, and translate improvement opportunities into product requirements for AI, automation, data, and reporting solutions.
Working knowledge of Power BI, including dashboard and report development, dataset management, KPI and data-definition practices, and visualization best practices.
Working knowledge of data warehouse concepts, including data quality, data modeling, data integration, metadata management, and reporting governance.
Familiarity with AI and automation concepts, including process automation, AI agents, copilots, generative AI applications, responsible AI principles, and human-in-the-loop review.
Ability to partner with technical teams on solution design, QA validation, user acceptance testing, implementation planning, and end-user adoption.
Strong coordination, triage, and prioritization skills, including the ability to manage competing priorities in a fast-paced environment.
Excellent written, verbal, and presentation communication skills, including the ability to explain complex technical concepts to technical and non-technical audiences.
Ability to influence and align cross-functional teams without formal authority.
Ability to exercise sound, timely judgment and make value-driven decisions in ambiguous or rapidly evolving situations.
Ability to remain calm, focused, and productive under pressure, adapt to changing priorities, and drive constructive change.
Commitment to organizational mission, vision, and values, and ability to operate effectively within organizational structure, goals, and strategic objectives.
Strong organizational skills and demonstrated ability to manage multiple initiatives and drive them to successful, on-schedule completion.
Experience collaborating with remote or geographically distributed team members across multiple time zones.

Nice To Haves

Experience with AI, automation, workflow modernization, Power Platform, Copilot, generative AI, or related emerging technology capabilities.
Experience with data warehouse, data lake, Lakehouse, ETL/ELT, data modeling, data governance, or enterprise reporting concepts.
Experience with Power BI reporting, including dashboards, datasets, KPIs, data visualization, and report adoption.
Experience in distribution, supply chain, retail, logistics, or a similar industry.

Responsibilities

Own, maintain, and communicate short- and long-term product roadmaps for AI, automation, enterprise data, data warehouse, and Power BI reporting capabilities.
Partner with business leaders and stakeholders to identify, evaluate, and prioritize valuable use cases for AI, workflow automation, data products, dashboards, analytics, and reporting.
Account for and communicate product team progress to business stakeholders during bi-weekly prioritization.
Work with the assigned architect and business analyst to groom and elaborate the backlog and prepare actionable sprint content.
Coordinate with technical leads to plan appropriate resource augmentation with offshore partners.
Work with the scrum master to refine the product team’s Agile process through retrospectives and metric analysis.
Create, maintain, and prioritize product backlog items, user stories, epics, acceptance criteria, and delivery priorities based on business value, urgency, customer needs, resource availability, and strategic alignment.
Serve as the primary point of contact among business stakeholders, data teams, automation engineers, AI enablement teams, vendors, and IT leadership, translating business needs into actionable product requirements.
Guide Agile delivery teams in delivering committed sprints, ensuring requirements are understood, priorities aligned, and blockers resolved.
Collaborate with AI and automation technical resources to define, evaluate, pilot, and scale workflow automation, robotic process automation, AI agents, copilots, generative AI-enabled processes, and intelligent business workflows.
Work with data engineering and BI teams on the data warehouse lifecycle, including source data intake, data modeling, transformation requirements, data quality, metadata standards, and reporting needs.
Partner with Power BI developers and business stakeholders to define trusted datasets, dashboards, reports, KPIs, data definitions, adoption plans, and actionable insights.
Support data governance, AI governance, security, privacy, and access control by ensuring solutions follow TireHub standards for responsible AI, data protection, and approved business processes.
Prepare business cases, value estimates, adoption plans, and success metrics for AI, automation, data warehouse, and reporting initiatives.
Evaluate emerging AI, automation, data, and analytics tools and capabilities; coordinate pilots and proofs of concept to assess business value and implementation feasibility.
Facilitate QA, UAT, and validation to ensure solutions meet business requirements, acceptance criteria, data quality expectations, and reporting accuracy standards.
Monitor product performance, adoption, user feedback, and operational outcomes, and continuously improve products.
Communicate product priorities, delivery progress, risks, dependencies, and value realization to stakeholders and leadership in business terms.
Facilitate problem resolution and remove blockers to delivery progression or product adoption.
Complete assigned training requirements through in-class, in-person, or computer-based learning modules.
Adhere to TireHub policies, procedures, and guidelines.
Complete other tasks as assigned by a supervisor or another member of Leadership.