Data Owner for AI/ML

JPMorganChase • Wilmington, NC

11d

About The Position

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.

Requirements

• 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 senior audiences.
• Structured thinker with good business acumen.
• Bachelor’s degree in an applicable field.

Responsibilities

• 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.
• 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.
• 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.
• Researching user needs and bringing as a product mindset to data, including AI / ML ready enhancements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior