Data Product Owner

Textron • Augusta, GA

2h

About The Position

Textron Specialized Vehicles Inc. is a leading global manufacturer of golf cars, utility and personal transportation vehicles, professional turf-care equipment, and ground support equipment. Textron Specialized Vehicles markets products under several different brands. Its vehicles are found in environments ranging from golf courses to factories, airports to planned communities, and theme parks to hunting preserves. The Data Product Owner serves as the product owner for assigned data products, accountable for accuracy, completeness, usability, and alignment with defined business use cases, in partnership with data engineering, analytics, and business stakeholders.

Requirements

• Bachelor’s degree in Business Analytics, Statistics, Information Systems, Finance, Economics, or a related field is required.
• 3+ years of relevant work experience is required.
• Basic programming and data querying skills, such as Python, R, and SQL, to support data exploration, validation, and light transformations for data products is required.
• Experience with business intelligence and reporting platforms, such as Power BI and/or Microsoft Fabric is required.
• Familiarity with enterprise data catalog and governance tools is required.
• Strong foundational skills required in: Business analytics and problem-solving.
• Strong foundational skills required in: Statistics and data interpretation.
• Ability to think strategically while executing at a practical, hands-on level.
• Clear communication skills with both technical and non-technical audiences

Nice To Haves

• Experience working with SAP data, including transactional, master, or analytical datasets is preferred.
• Experience working with Salesforce data, such as CRM objects or operational data is preferred.

Responsibilities

• Serve as the product owner for assigned data products, accountable for accuracy, completeness, usability, and alignment with defined business use cases, in partnership with data engineering, analytics, and business stakeholders.
• Define and maintain data product requirements for assigned data products, and apply established success metrics, and quality standards in partnership with business stakeholders, analytics, and IT teams.
• Monitor ongoing data health and performance, proactively identifying data quality issues, usage gaps, and opportunities for refinement or improvement, and escalating or partnering as appropriate to address findings.
• Analyze and monitor the ongoing business value of data products by assessing adoption, usage and relevance, and surface recommendations to inform enhancement, prioritization, or lifecycle decisions.
• Contribute to the design and maintenance of semantic models for data products for assigned data products, including light data transformations, calculated fields, and business logic required to support reporting and analytics for self‑contained products, while partnering with data engineering for larger‑scale or upstream transformations.
• Apply established data structure, documentation, and governance standards to help ensure data products are structured and governed to be AI‑ready and enable downstream use by data agents and AI‑driven applications where applicable.
• Enable and support business users by providing guidance on how to access, interpret, and apply data products effectively in support of decision‑making.
• Contribute to data product training and enablement, including the creation of curriculum content, learning materials, and pilot or cohort‑based training execution to drive adoption and responsible use.
• Collaborate cross‑functionally to reinforce documentation practices, shared accountability, and responsible data usage, helping ensure data products are well‑defined, discoverable, and governed in alignment with established data standards

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees