Data Owner for AI/ML

As a Data Owner on the AI/ML for Ops Data Team, you will play a key role in enabling the business to drive faster innovation through the use of its data, while ensuring that data is of good quality and well-protected.

You'll be accountable for data in the product that is created, provisioned, or consumed to support business objectives, advanced analytics, business operations, and reporting.

As a member of the data owner team, you'll collaborate with the Product Owner, Analytics, Design, and Technology Leads to ensure that the product delivers data in a manner consistent with the quality and safety requirements of the business.

This role offers significant opportunities for learning, growth, and career advancement within a collaborative and innovative team.

Job responsibilities



* Data needs and consumption
+ Work with product, tech and analytics partners to drive an understanding of data needs, and alignment to features in product / analytics / AI roadmap
+ Identify upstream data sources, detailed requirements, and dependencies.

Manage resolution of data needs and data dependencies so that product features / analytics / AI are enabled in a timely manner.



* Data publishing
+ Support data users by identifying data required to drive business value, and helping publish this data to central platforms.
+ Influence resources to resolve identified data issues in a timely manner.



* Data Governance
+ Lead efforts on data use - classifying the data appropriately, documenting use cases for the data in detail, aligning stakeholders on data use, and presenting to the use case councils for approval
+ Assess and improve data quality for priority domains.

Develop processes and procedures to identify, monitor, and mitigate data risks, including protection, retention, destruction, and storage.



* Data product mindset - researching user needs and bringing as a product mindset to data, including AI / ML ready enhancements.

Required qualifications, capabilities, and skills



* Seven years of industry experience in a data-related field.



* Domain knowledge in Data Ownership
+ Experience in data management and governance - including data quality, classification and use.
+ Driving data consumption from various upstream sources per product needs
+ Enhancing the machine understandability of data through modernization efforts
+ Proficiency with analyzing / wrangling data from different sources to drive insights.

Leveraging these insights to drive data publishing and data products.



* Experience managing delivery across multiple workstreams with varying timelines.

Understanding of Agile technological development methodology.



* Ability to deliver outcomes via internal partnerships.



* Strong interpersonal and communication skills, including the ability to articulate complex technical concepts to non-technical sen...