Risk Management - Data Strategist Lead - Vice President

J.P. Morgan; New York (NY); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health care

Retirement plan

Tuition reimbursement

Mental health support

On-site wellness centers

Backup childcare

Financial coaching

Job summary

JPMorgan Chase is seeking a Data Strategist Lead in Principal Investment Risk Management to define and execute the risk data strategy and governance. You will lead AI/ML delivery, including generative AI and agentic workflows, to improve risk oversight, analytics, metrics, and reporting across the principal investment process.

You will own data foundations, establish governance standards, and deliver measurable data KPIs to steer roadmap and adoption, collaborating with technology teams to

Qualifications

• Bachelor’s degree in data science, computer science, engineering or related field
• 5+ years of experience in data management, data governance, risk management/analytics, data science, or related domain
• Strong analytical problem-solving skills for time-sensitive environments
• Clear written and verbal communication with stakeholders
• Proficiency in Python and SQL
• Experience building dashboards with Tableau or similar BI tools
• Ability to define requirements and drive cross-functional approvals
• Commitment to data quality and governance in risk data workflows

Responsibilities

• Own Principal Risk’s data foundations: sourcing, metadata, lineage, lifecycle controls
• Define and evolve data governance standards and self-service documentation
• Deliver risk data products supporting operations, analytics, metrics, and reporting
• Define KPIs for data quality, timeliness, completeness, lineage, and control adherence
• Design AI/ML solutions (generative AI, agentic workflows, traditional ML) for risk analytics
• Implement LLM agents and multi-agent systems with planning and human-in-the-loop escalation
• Translate business needs into designs, acceptance criteria, and execution plans
• Lead end-to-end delivery from requirements to production and adoption
• Build verification/validation mechanisms for outputs
• Operate production solutions with monitoring, performance, and drift management
• Collaborate with tech teams to document data sources and flows for analytics

Skills

Data governance

Data management

Risk analytics

Python

SQL

Dashboards

Education

Bachelor’s degree in data science/CS/engineering

Tools

Tableau

Python scripting

LLM platforms

Agent orchestration

Cloud/AWS

Job description

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. Job Summary:

As a Data Strategist Lead in Principal Investment Risk Management, you will define and execute the risk data strategy and governance model while partnering across lines of business, functional stakeholders, and technology teams to deliver trusted, decision-grade data products.

You will lead applied AI/Machine Learning delivery—spanning generative AI, agentic workflows, and traditional Machine Learning— to improve risk oversight, analytics, metrics, and reporting. You will operate with strong ownership from requirements through scaled adoption, ensuring verification, validation, and guardrails that produce safe, reliable outputs in production.

Job Responsibilities:

• Own Principal Risk’s data foundations including controlled sourcing/integration, metadata/catalog, lineage, and lifecycle risk controls (protection, retention/destruction, storage, usage, quality).
• Define and evolve data governance standards, publishing patterns, and documentation expectations to enable trusted consumption and self-service.
• Deliver risk data products that support business operations, strategic objectives, analytics, metrics, and reporting across the principal investment process.
• Establish measurable data KPIs (e.g., quality, timeliness, completeness, lineage coverage, control adherence) and use them to steer roadmap and prioritization.
• Design applied AI/ML solutions (generative AI, agentic workflows, traditional ML) to address Principal Risk analytics and oversight use cases.
• Implement LLM agents and multi-agent systems including planning, parallel task execution, entity resolution, and human-in-the-loop escalation.
• Translate business needs into delivery artifacts including technical designs, acceptance criteria, measurable outcomes, and execution plans.
• Lead end-to-end delivery from requirements → POC → production → scaled adoption, including operating model handoff where needed.
• Build verification and validation mechanisms such as business-rule checks, evaluation datasets, and regression testing to ensure safe and reliable outputs.
• Operate production solutions through monitoring, performance/stability improvements, drift management, and continuous iteration.
• Partner with technology teams to document data sources, formats, and flows while implementing validation to ensure downstream readiness for analytics and reporting.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree (or equivalent experience) in a relevant field (e.g., data science, computer science, engineering, math, sciences) or equivalent professional experience.
• 5+ years of experience in data management, data governance, risk management/analytics, data science, or a closely related domain.
• Demonstrate strong analytical problem-solving skills with the ability to execute effectively in time-sensitive environments.
• Communicate clearly in writing and verbally, producing high-quality documentation and influencing business, risk, and technology stakeholders.
• Apply foundational knowledge of data management principles and end-to-end data lifecycle management.
• Program effectively in Python and work confidently with SQL (or similar querying languages).
• Build and interpret dashboards/analysis using Tableau (or equivalent BI experience aligned to the role’s needs).
• Collaborate cross-functionally to define requirements, align stakeholders, and drive approvals for delivery and adoption.
• Execute delivery with accountability, including defining outcomes, tracking progress, and managing dependencies through to production.
• Promote strong data quality and control discipline, including validation and readiness for downstream reporting and analytics.
• Adhere to data protection and usage expectations appropriate for risk data and decisioning workflows.

Preferred Qualifications, Capabilities, and Skills:

• Deliver hands-on experience with an LLM platform (model onboarding/serving, prompt/version management, evaluations).
• Build experience with agent orchestration frameworks (tool use, retrieval-augmented generation, state/context management).
• Operationalize production systems with observability, alerting, dashboards, runbooks, and post-deploy monitoring/continuous improvement.
• Use familiarity with data governance tooling for catalog/metadata/lineage and modern data publishing standards.
• Leverage familiarity with big data platforms, data architecture patterns, and governance tools/platforms.
• Apply cloud/DevOps exposure (e.g., AWS, Linux, Git) and observability tooling experience to support reliable delivery.
• Demonstrate a track record of measurable improvements through automation, operational rigor, and end-to-end data lifecycle initiatives (onboarding, integrity checks, archiving, migration/decommissioning).

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

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Lead Principal Investment Risk data strategy and AI toolkit to deliver decision-grade risk data products and agents.