Data Science Lead - Vice President
Company: JPMorganChase
Location: Jersey City
Posted on: April 1, 2026
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Job Description:
Description 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 lifecycle—conception, validation,
scaling, production delivery, and performance monitoring. Own
end-to-end delivery of the Metrics Store (MORPHEUS)
program—defining 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 practices—running
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
(master’s 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 components—dimensional modeling, dbt or
equivalent transformation frameworks, and columnar/lakehouse
storage—sufficient 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
Keywords: JPMorganChase, Sayreville , Data Science Lead - Vice President, IT / Software / Systems , Jersey City, New Jersey
