Data Science Lead Vice President
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Job Location:
Jersey, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
Shape the future of data science while crafting solutions that enhance and optimize customer experiences. Lead end-to-end processes manage dependencies and liaise with stakeholders as part of a team at the forefront of innovation.
As a Data Science Vice President within the Commercial and Investment Bank Technology team you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains.
Job responsibilities
Engage with stakeholders to identify and define business needs and opportunities and design technical solutions to address them.
Partner with product managers engineers and functional experts across the end-to-end AI/ML lifecycleconception validation scaling production delivery and performance monitoring.
Own end-to-end delivery of the Metrics Store (MORPHEUS) programdefining roadmap managing dependencies and tracking milestones across data engineering semantic layer and BI integration workstreams.
Facilitate cross-functional workshops with domain experts in Payments Liquidity Merchant Services and Embedded Banking to elicit validate and govern metric definitions.
Drive adoption of the unified semantic layer by crafting clear value narratives for managing directors and operational stakeholders and removing organizational blockers to SME participation.
Apply lean and agile delivery practicesrunning structured sprint ceremonies maintaining a prioritized backlog and iterating rapidly on platform capabilities based on stakeholder feedback.
Develop deep subject-matter expertise in Payments processing transaction lifecycle and operational SLOs to translate business intent into precise metric specifications.
Required qualifications capabilities and skills
Advanced degree (masters or higher) in Computer Science Data Science Engineering Applied Mathematics Statistics or a related quantitative discipline.
5 years of experience developing and deploying Data Science solutions.
3 years of experience as a Technical Program Manager or equivalent role delivering data platform analytics or metrics infrastructure programs in a regulated financial services environment.
Hands-on proficiency with modern data stack componentsdimensional modeling dbt or equivalent transformation frameworks and columnar/lakehouse storagesufficient to independently evaluate technical trade-offs.
Demonstrated ability to define and socialize a product vision build consensus with skeptical domain experts and translate ambiguous business requirements into actionable engineering specifications.
Experience operating in lean/agile environments with rapid iteration cycles; comfort with ambiguity and willingness to own outcomes end-to-end without a fully staffed team.
Strong data literacy: ability to read and reason about SQL understand metric grain and aggregation correctness and identify when a proposed definition will produce inconsistent results across contexts.
Preferred qualifications capabilities and skills
Practical experience with semantic layer technologies (dbt MetricFlow LookML AtScale or equivalent) and an appreciation for the governance challenges of a shared metrics store across competing business domains.
Background in payments card processing or transaction banking
Exposure to federated query engines data observability tooling or real-time monitoring applications
Required Experience:
Exec
Key Skills
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
