VP, Trusted Data & Analytics Strategy

JPMorgan Chase; Plano (TX); On-site; USD 119,000 - 195,000; Full time

Job summary

JPMorgan Chase, a leading financial services company, seeks a Vice President to drive complex data initiatives from discovery through implementation, translating business needs into governance-ready data requirements. You will coordinate with Business, Product, Technology, and Data Owners to ensure trusted data supports controlled execution and scalable analytics.

You will shape patterns for product discovery, data access, and lifecycle mapping while guiding modernization and governance

Qualifications

• 7+ years in data analytics, strategy, integration, analytical product delivery, management consulting, or a related discipline in complex environments.
• Experience leading ambiguous data or analytical initiatives through requirements clarification, solution design, stakeholder alignment, validation, implementation, and adoption.
• Demonstrated judgment in evaluating reuse, integration, automation, tooling, AI-assisted versus deterministic methods, and when a solution should be changed, deferred, or avoided.
• Experience across heterogeneous systems with challenges involving grain, identifiers, relationships, definitions, source authority, interfaces, or data quality.
• Strong SQL proficiency across relational or cloud platforms, with technical fluency to investigate data, validate logic, and work credibly with engineering teams.
• Experience defining business metrics or operational state with explicit grain, logic, source data, assumptions, exclusions, and validation criteria.
• Experience producing structured documentation, including dictionaries, mappings, lineage, metadata, business rules, version history, validation status, ownership, and limitations.
• Strong communication and delivery skills, including translation across business and technical audiences and management of concurrent initiatives with limited supervision.

Responsibilities

• Lead discovery for complex data and end-to-end initiatives, distinguishing the intended business outcome from the requested report, dataset, workflow, or tool.
• Investigate product definitions, systems of record, identifiers, business rules, interfaces, manual steps, and downstream dependencies to establish current state and identify processing gaps.
• Evaluate options within established strategy and architecture guardrails, determining what should be reused, connected, integrated, automated, deferred, or left unbuilt, and where human judgment is required.
• Translate needs into implementation-ready requirements covering data structures, sources, identifiers, interfaces, transformation logic, controls, ownership, validation criteria, and open decisions.
• Partner with Business, Product, Technology, Data Owners, and Data Stewards to connect trusted data to controlled execution, validate resulting state, and make approved outcomes available for downstream use.
• Formalize entities, identifiers, lifecycle stages, metrics, source relationships, assumptions, and limitations using documentation, schemas, analytical logic, operational evidence, and SME input.
• Develop reusable patterns for product discovery, source access, identifier linkage, lifecycle and event mapping, validation, synchronization, and onboarding; capture recurring needs to guide foundation-building.
• Support governed modernization and team development, preserving required logic while avoiding obsolete, duplicative, or incorrectly placed logic in target platforms.

Skills

7+ years data analytics

Ambiguous data initiatives leadership

Data integration governance

Heterogeneous systems experience

SQL proficiency

Business metrics definition

Structured documentation practices

Communication and delivery skills

Education

Quantitative degree or equivalent

Tools

Snowflake

AWS

Job description

JPMorgan Chase, a leading financial services company, seeks a Vice President to drive complex data initiatives from discovery through implementation, translating business needs into governance-ready data requirements. You will coordinate with Business, Product, Technology, and Data Owners to ensure trusted data supports controlled execution and scalable analytics.

You will shape patterns for product discovery, data access, and lifecycle mapping while guiding modernization and governance