#210722814
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Job Responsibilities
Systematically discover and formalize product-level data semantics - entities, identifiers, lifecycle stages, metrics, and system touchpoints - using documentation, schemas, and SME validation
Determine where structural data integration is required versus where documented semantic alignment is sufficient, and develop reusable principles for applying that judgment
Build reusable patterns for identifier linkage, lifecycle mapping, and metric definition that reduce onboarding effort as more products are formalized
Embed governance in the assets: produce versioned definitions with lineage, ownership, confidence, and known limitations; enforce validation gates before release
Partner with Data Owners, Data Stewards, and Technology teams to validate definitions and drive approvals through the governance cadence
Use structured intake and prioritization to route demand, manage dependencies, and balance delivery with foundation-building work
Capture unmet analytical needs as structured demand signals and partner with stakeholders to prioritize estate expansion
Investigate product implementation systems to understand data flows across system boundaries and surface gaps invisible to current reporting
Support platform migrations by ensuring governed assets remain accurate as source systems and warehousing platforms evolve
Contribute to team development across a geographically distributed, actively scaling organization
Required Qualifications, Capabilities, and Skills
7+ years in data analytics, data strategy, data integration, or management consulting in complex, multi-system environments
Demonstrated experience linking data across heterogeneous source systems with non-trivial identifier and semantic challenges
Strong SQL proficiency across relational and cloud-native database systems
Experience formalizing business metrics with explicit definitions, calculation logic, and documented assumptions
Working familiarity with generative AI and LLM capabilities, including strengths, limitations, and the need for validation guardrails
Experience producing structured data documentation (dictionaries, lineage, metadata) as a deliberate output of analytical work
Strong communication skills and stakeholder partnership capability
Preferred Qualifications, Capabilities, and Skills
Financial services or similarly complex regulated industry experience
Experience with modern cloud data platforms, particularly Snowflake and/or AWS-based services
Familiarity with semantic layers, data modeling, or knowledge representation methods that formalize meaning across systems
Experience operating governance forums and approval cadences for definitions, linkages, and quality thresholds
Experience designing reusable onboarding approaches (patterns, templates, validation protocols) intended to scale across domains
Comfort with AI-augmented workflows where human judgment validates AI-assisted outputs before they become authoritative
Proficiency in Python or R for data transformation, validation, or automation
Undergraduate or graduate degree in a quantitative, technical, or information science discipline.
To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).
ABOUT US
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 over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.