Analytics Solutions - Vice President

Responsibilities

• Systematically discover and formalize product-level data semantics, including entities, identifiers, lifecycle stages, and metrics.
• Design scalable approaches for formalizing product semantics across a heterogeneous landscape of systems and documentation.
• Build reusable patterns for identifier linkage, lifecycle mapping, and metric definition to reduce onboarding effort.
• Embed governance into data assets by producing versioned definitions with lineage, ownership, and confidence levels.
• Partner with Data Owners, Data Stewards, and Technology teams to validate definitions and drive approvals through governance cadences.
• Investigate product implementation systems to understand data flows and surface gaps in current reporting.
• Support platform migrations by ensuring governed assets remain accurate as source systems and warehousing platforms evolve.

Requirements

• 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 validation guardrails.
• Experience producing structured data documentation such as dictionaries, lineage, and metadata.
• Strong communication skills and the ability to partner effectively with diverse stakeholders.

Preferred Qualifications

• 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.
• Experience operating governance forums and approval cadences for data quality and definitions.
• Proficiency in Python or R for data transformation, validation, or automation.
• Undergraduate or graduate degree in a quantitative, technical, or information science discipline.

About the Company

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and presence in over 60 countries. We offer innovative financial solutions to millions of consumers, small businesses, and prominent corporate, institutional, and government clients.