Evaluate and develop new analytics ideas aligned with audit priorities and organizational goals
Facilitate stakeholder sessions to refine problem statements and ensure shared understanding
Define expected benefits and gather empirical evidence to support proposals and prioritization
Present findings and recommendations to decision-makers to support go/no-go decisions
Lead feasibility work (environment setup, data acquisition, prototyping, results review) and iterate based on learnings

Key requirements

Evaluate and develop new analytics ideas aligned with audit priorities and organizational goals
Facilitate stakeholder sessions to refine problem statements and ensure shared understanding
Define expected benefits and gather empirical evidence to support proposals and prioritization
Present findings and recommendations to decision-makers to support go/no-go decisions
Lead feasibility work (environment setup, data acquisition, prototyping, results review) and iterate based on learnings

Jobs at JPMorgan Chase & Co.

40 active roles from this employer in the JobMatcher catalog.

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Jobs at JPMorgan Chase & Co.

40 active roles from this employer in the JobMatcher catalog.

All company jobs

About the role

Plano, Texas, United States – On-site position.

Job Summary: Investment Bank Internal Audit is seeking a Vice President, Data Scientist to lead the refinement and prototyping of advanced analytics ideas that strengthen assurance, improve efficiency, and deliver clearer insights. As a Data Scientist on the Internal Audit, Data Analytics team, you will partner with audit stakeholders to turn promising ideas into development-ready prototypes, guiding concepts from problem framing through feasibility assessment, proof-of-concept development, and hand-off to a product owner. You will combine leadership with deep technical expertise to help teams adopt innovative approaches to testing business and technology controls.

Responsibilities

Required qualifications:

Evaluate and develop new analytics ideas aligned with audit priorities and organizational goals
Facilitate stakeholder sessions to refine problem statements and ensure shared understanding
Define expected benefits and gather empirical evidence to support proposals and prioritization
Present findings and recommendations to decision-makers to support go/no-go decisions
Lead feasibility work (environment setup, data acquisition, prototyping, results review) and iterate based on learnings
Produce clear documentation and ensure effective hand-off of artifacts to the product owner
Promote collaboration, critical thinking, and experimentation; support data governance and required use-case approvals
Demonstrated leadership and ability to influence across diverse stakeholder groups
Advanced knowledge of machine

About the role

Plano, Texas, United States – On-site position.

Job Summary: Investment Bank Internal Audit is seeking a Vice President, Data Scientist to lead the refinement and prototyping of advanced analytics ideas that strengthen assurance, improve efficiency, and deliver clearer insights. As a Data Scientist on the Internal Audit, Data Analytics team, you will partner with audit stakeholders to turn promising ideas into development-ready prototypes, guiding concepts from problem framing through feasibility assessment, proof-of-concept development, and hand-off to a product owner. You will combine leadership with deep technical expertise to help teams adopt innovative approaches to testing business and technology controls.

Responsibilities

Required qualifications:

Evaluate and develop new analytics ideas aligned with audit priorities and organizational goals
Facilitate stakeholder sessions to refine problem statements and ensure shared understanding
Define expected benefits and gather empirical evidence to support proposals and prioritization
Present findings and recommendations to decision-makers to support go/no-go decisions
Lead feasibility work (environment setup, data acquisition, prototyping, results review) and iterate based on learnings
Produce clear documentation and ensure effective hand-off of artifacts to the product owner
Promote collaboration, critical thinking, and experimentation; support data governance and required use-case approvals
Demonstrated leadership and ability to influence across diverse stakeholder groups
Advanced knowledge of machine

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