Data Analytics Transformation Lead - Trade and Working Capital - Vice President

As the Data Analytics Transformation Lead within Trade & Working Capital, you will drive the data, analytics and AI transformation agenda for the Portfolio Management team. Working across business, technology, data and AI teams, you will define strategy, shape roadmaps and deliver data-driven solutions that improve decision-making, operational efficiency and business outcomes. This role combines data product ownership, business analysis, transformation leadership and technical expertise.

You will establish trusted data foundations through strong governance, common business definitions and data quality standards, while enabling modern analytics, reporting and AI capabilities.

• Define and execute the Trade & Working Capital data, analytics and AI

strategy and roadmap aligned to business priorities.

• Lead the development and maintenance of the business data dictionary, common

business glossary and standardized KPI definitions.

• Establish and drive adoption of data governance frameworks, data quality

standards and common business definitions across stakeholders.

• Act as the business owner for data, reporting and analytics initiatives,

translating business needs into prioritized requirements, user stories and delivery plans.

• Manage demand, product backlogs and delivery roadmaps, partnering closely

with technology, data engineering, architecture and AI teams to deliver scalable solutions.

• Drive the development of data products, curated datasets and reporting

capabilities leveraging Databricks, Snowflake, Data Mesh and cloud-based data platforms.

• Design and enhance dashboards, reporting and self-service analytics

capabilities that support management decision-making.

• Develop tactical analytics, automation and reporting solutions where

strategic capabilities are not yet available.

• Identify opportunities to leverage AI, advanced analytics and automation to

improve business processes, insights and decision-making.

• Build strong partnerships across business, finance, operations, risk, product

and technology teams, driving alignment across competing priorities.

• Provide delivery governance through established forums, ensuring appropriate

management of risks, issues, dependencies, controls and audit requirements.

• Ensure solutions are delivered with appropriate governance, transparency,

resilience and regulatory compliance expectations.

Required Qualifications, Skills & Experience

• Significant experience delivering data, analytics, product management or

transformation initiatives within a complex financial services environment.

• Strong working knowledge of Databricks, Snowflake, cloud data architectures

and modern data platforms.

• Experience with Data Mesh, data products, data governance and enterprise data

management practices.

• Proven experience establishing and managing data dictionaries, business

glossaries, common data definitions and governance frameworks.

• Strong business analysis and product management skills, including

requirements gathering, roadmap development, backlog management and

prioritization.

• Experience designing and delivering dashboards, reporting and analytics

solutions using modern BI platforms.

• Working knowledge of SQL, data modelling and analytics engineering concepts,

with the ability to develop tactical solutions where required.

• Experience coordinating delivery across business, technology, data

engineering and AI teams.

• Strong stakeholder management, influencing and executive communication

skills.

• Strong understanding of risk, controls and governance requirements within a

regulated environment.

• Experience supporting Trade Finance, Working Capital, Treasury, Liquidity,

Balance Sheet Management or Transaction Banking businesses.

• Experience developing tactical solutions using SQL, Python, Databricks

notebooks or similar technologies.

• Knowledge of AI, Generative AI, machine learning, agentic workflows and

emerging AI-enabled capabilities.

• Experience with Agile delivery methodologies and tools such as Jira and

Confluence.

• Experience delivering large-scale data modernization, migration or

transformation programs.

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.

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.