Data Product Owner

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.

**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