Live opening · Posted 7 hours ago

Data Product Owner-Executive Director

JPMorgan Chase · New York, NY, United States
Oracle
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyJPMorgan Chase
LocationNew York, NY, United States
SourceOracle
ListedPosted 7 hours ago

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About the role

Description supplied by the original job listing.

Are you passionate about harnessing the power of data to shape the future of financial services? Join us and make a direct impact on how we deliver cutting-edge machine learning solutions that accelerate product development and improve the Chase customer experience.
As a Data Product Owner on the Connected Commerce Analytics Team, you play a pivotal role in developing and driving our data strategy and ensuring the quality and protection of data across our products. accountable for the data created, sourced, transformed, provisioned and consumed across assigned Connected Commerce products and business processes. You'll set the data strategy and roadmap, define critical data and quality expectations, and ensure that our data is understood, protected and fit for purpose throughout its lifecycle. You will operate as a senior member of cross-functional product teams, partnering with Product Owners, Technology, Data Engineering, Architecture, Analytics, Operations, Legal, Compliance and Risk. You'll translate business priorities into reusable datasets and governed data capabilities that improve customer experiences, accelerate analytics and artificial intelligence, support financial and operational reporting, and reduce data risk. This is your opportunity to influence the way we manage, protect, and leverage data across our organization.
Job Responsibilities
Own the data strategy, roadmap and delivery priorities for an assigned portfolio of Connected Commerce data and business domains.
Serve as the accountable subject matter expert for the meaning, permitted use, quality, lineage and lifecycle of data within the assigned scope.
Coordinate delivery across source-system owners, data engineers, platform teams and consumers to create scalable, reusable and well-defined data asset.
Ensure data comply with firmwide requirements for privacy, access, retention, destruction, data use, records management and information protection.
Review and approve appropriate data access and usage, ensuring business justification, restrictions, evidence and traceability are maintained.
Identify and manage data risks, issues, dependencies and control gaps; escalate material concerns and drive sustainable corrective actions.
Define product-level objectives, milestones, service expectations and key performance indicators; communicate progress, value, risks and decisions to senior stakeholders.
Build strong relationships across the Quad and contribute reusable standards and best practices across the broader data community.
Lead, coach or coordinate direct and matrixed team members responsible for data ownership, governance, product delivery and control activities.
Required Qualifications, Capabilities, and Skills
Bachelor’s degree and 10 years of industry experience in a data-related field.
Experience managing delivery across multiple workstreams with varying timelines
Subject matter expertise in business or product data or processes
Technical knowledge of data management and governance, big data platforms, or data architecture
Demonstrated ability to manage delivery timelines, and ensure our product and organization is on track to meet our goals
Proven ability to execute via internal partnerships
Strong interpersonal and communication skills with the ability to articulate complex technical concepts to senior audiences
Structured thinker with good business acumen
Understanding of Agile technological development methodology.
Preferred Qualifications, Capabilities, and Skills
Familiarity with data contracts, data quality, data models, data observability, reconciliation and production support practices.
Experience enabling advanced analytics, machine learning or generative artificial intelligence with governed enterprise data.
Experience leading geographically distributed or matrixed teams.
Master's degree in a relevant field.

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