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.
Key Responsibilities
- 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.
Preferred Qualifications
- 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.
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
Skills Required
- Significant experience delivering data, analytics, product management, or transformation initiatives in 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
- 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 modeling, and analytics engineering concepts
- 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 in 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 Jira or Confluence
- Experience delivering large-scale data modernization, migration, or transformation programs
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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