Analytics Solutions Director

J.P. Morgan; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Comprehensive health care coverage

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

and more

Job summary

Chase is seeking an Analytics Solutions Director within Banking & Wealth Management to lead an analytics capability focused on measurement, forecasting, optimization, and risk/transparency across a global infrastructure portfolio. You will partner with Heads of Technology and Infrastructure Managers to drive executive-ready insights, framing complex topics into clear narratives for senior leaders.

The role requires exceptional analytical skills, strong executive communication, and the ability to

Qualifications

• 10+ years related experience and strong quantitative and analytical skills; ability to translate operational and financial data into actionable insights and executive decisioning
• Excellent proficiency in Microsoft PowerPoint and Excel
• Experience in dashboard reporting or other visual representation of KPIs
• Strong analytical and problem-solving skills; ability to think creatively and find cost-effective solutions
• Ability to analyze data, process information, and work independently
• Strong executive communication skills: ability to synthesize complex topics into clear narratives and impactful presentations
• Ability to maintain composure in a fast-paced environment and prioritize multiple projects with excellent communication with senior leaders

Responsibilities

• Partner with key stakeholders supporting end-to-end financial management: establish business cases, monitor trends, explain variances, and identify key drivers/sensitivities that impact outcomes across the infrastructure portfolio, including tokens/GPU/core applications
• Establish token consumption measurement and attribution (by product, application, model, environment, and use case), including standardized definitions and cost modeling for billable tokens
• Build a forecasting framework supporting token & GPU infrastructure usage that produces monthly/quarterly demand projections using driver-based assumptions
• Partner with Technology leaders to translate business priorities into measurable outcomes and analytics-backed decisions
• Build scalable analytics and self-service reporting, including dashboards and standardized scorecards for leadership and stakeholder consumption
• Drive data structuring and governance for infrastructure; define data model requirements to support senior-level reviews and approvals
• Develop forecasting and capacity modeling (e.g., compute/storage/network demand, staffing capacity, run-vs-change mix) to inform investment decisions and planning cycles
• Own the Infrastructure Analytics strategy and roadmap, including KPI frameworks, investment decisions, operating metrics, and executive reporting
• Establish a robust control environment for metric definitions and reporting processes to ensure consistency, auditability, and trust in results
• Deliver executive-ready materials with a strong emphasis on clarity, data visualization, and narrative storytelling for senior management forums and business reviews

Skills

Executive communication

Analytical skills

Problem solving

Stakeholder management

Independent thinking

Tools

Microsoft Excel

Microsoft PowerPoint

Job description

The Infrastructure Analytics team enables technology and operations leaders to make faster, better decisions by translating infrastructure data into actionable insights.

As an Analytics Solutions Director within Banking & Wealth Management, Consumer & Community Banking, Finance Infrastructure team, you will lead an analytics capability focused on measurement, forecasting, optimization, and risk/control transparency across a large, global infrastructure portfolio. You will partner with Heads of Technology and Infrastructure Managers in Technology, PXT Finance Teams, Global Technology Finance, and key lines of business. The role requires excellent analytical skills, strong executive communication and the ability to distill complex, cross-functional topics into clear narratives and executive-ready materials.

Job Responsibilities

• Partner with key stakeholders supporting end-to-end financial management: establish business cases, monitor trends, explain variances, and identify key drivers/sensitivities that impact outcomes across the infrastructure portfolio, including tokens/GPU/core applications
• Establish token consumption measurement and attribution (by product, application, model, environment, and use case), including standardized definitions and cost modeling for billable tokens
• Build a forecasting framework supporting token & GPU infrastructure usage that produces monthly/quarterly demand projections using driver-based assumptions
• Partner with Technology leaders to translate business priorities into measurable outcomes and analytics-backed decisions
• Build scalable analytics and self-service reporting, including dashboards and standardized scorecards for leadership and stakeholder consumption
• Drive data structuring and governance for infrastructure; define data model requirements to support senior-level reviews and approvals
• Develop forecasting and capacity modeling (e.g., compute/storage/network demand, staffing capacity, run-vs-change mix) to inform investment decisions and planning cycles
• Own the Infrastructure Analytics strategy and roadmap, including KPI frameworks, investment decisions, operating metrics, and executive reporting
• Establish a robust control environment for metric definitions and reporting processes to ensure consistency, auditability, and trust in results
• Deliver executive-ready materials with a strong emphasis on clarity, data visualization, and narrative storytelling for senior management forums and business reviews

Required Qualifications, Capabilities, and Skills

• 10+ years related experience and strong quantitative and analytical skills; ability to translate operational and financial data into actionable insights and executive decisioning
• Deep interest in developing agentic capabilities to develop analytical and forecasting capabilities for the future (e.g., virtual agent for interrogation of data and recommendation of actions) and exceptional proficiency in Microsoft PowerPoint and Excel
• Experience in dashboard reporting or other visual representation of KPIs Strong analytical and problem-solving skills; ability to think creatively and find cost-effective solutions
• Ability to analyze data, process information, and work independently
• Sound judgment and independent decision-making skills with strong executive communication skills: ability to synthesize complex topics into clear narratives and impactful presentations
• Ability to maintain composure in a fast-paced environment and prioritize multiple projects with excellent communication skills; comfortable interacting with senior business leaders
• Strong organizational skills; able to manage numerous deliverables with critical deadlines and adapt to frequently changing priorities

Preferred Qualifications, Capabilities, and Skills

• Experience in Data & Analytics and Financial Operations is preferred

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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.

• 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.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Accountable for building and scaling infrastructure analytics, reporting, and will drive data-driven decisions.