Join a team where your expertise in data ownership will fuel innovation and drive business impact. As a Data Owner, you’ll shape the future of AI/ML-powered operations by ensuring data is high-quality, well-governed, and ready to support advanced analytics and business objectives. This role offers significant opportunities for growth, collaboration, and career advancement.

As a Data Owner on the AI/ML for Ops Data Team, you will enable the business to innovate faster through effective data management and protection. You’ll be accountable for data created, provisioned, or consumed to support business objectives, analytics, operations, and reporting. Collaborating with Product, Analytics, Design, and Technology Leads, you’ll ensure data delivery meets quality and safety standards.

Job responsibilities

• Work with product, tech, and analytics partners to understand data needs and align with product, analytics, and AI roadmaps.
• Identify upstream data sources, requirements, and dependencies; resolve data needs to enable timely delivery of features and analytics.
• Support data users by identifying and publishing data required to drive business value to central platforms.
• Influence resources to resolve data issues promptly.
• Lead data use efforts: classify data, document use cases, align stakeholders, and present to use case councils for approval.
• Assess and improve data quality for priority domains.
• Develop and implement processes to identify, monitor, and mitigate data risks, including protection, retention, destruction, and storage.
• Apply a data product mindset, researching user needs and driving AI/ML-ready enhancements.

Required qualifications, capabilities, and skills

• BS Degree in an applicable field and 7 years of industry experience in data initiatives across complex organizations.

• Domain knowledge in data ownership, management, and governance, including data quality, classification, and use.

• Experience driving data consumption from various upstream sources per product needs.

• Ability to enhance machine understandability of data through modernization.

• Proficiency in analyzing and wrangling data from different sources to drive insights and data products.

• Experience managing delivery across multiple workstreams with varying timelines; understanding of Agile methodology.

• Ability to deliver outcomes via internal partnerships.

• Strong interpersonal and communication skills, including the ability to explain complex technical concepts to non-technical senior audiences.

• Structured thinker with strong business acumen.

• Bachelor’s degree in an applicable field.

Preferred qualifications, capabilities, and skills

• Strong understanding of data governance principles.
• Advanced degree.