Have an opportunity to redefine how a major Finance organization makes decisions — and grow your career while you do it. You will combine best-in-class business intelligence with applied artificial intelligence to deliver insights that reach the most senior leaders. You will move the team beyond static dashboards toward natural-language, decision-ready experiences. This is a high-visibility, high-autonomy role for a hands-on technical leader who wants to set standards and build something durable. It begins as a senior individual contributor position and is designed to grow into formal people leadership as the portfolio scales.
As a Data Visualization Manager, Vice President on the Wealth Management Finance Data & Insights team, you will deliver executive-grade insights and artificial-intelligence-enabled experiences that help our most senior Finance leaders make faster, higher-confidence decisions. You will own the full lifecycle of our visualization and conversational analytics products from framing the problem and modeling the data to designing the experience, deploying it, and driving adoption. You will build guided self-service and natural-language tools that let leaders explore performance drivers, scenarios, and risk-and-return trade-offs in plain language. You will partner closely with Finance, Product, Data Engineering, and platform teams to keep everything secure, compliant, and production-grade. Most importantly, you will translate leadership questions into trusted data products and high-performing experiences. You will modernize the team's analytics delivery, partnering across Finance, Product, Data Engineering, and platform teams to ensure solutions are secure, compliant, and production-grade. You will personally drive the technical translation from leadership questions into governed data products and performant experiences.
Job Responsibilities
- Influence the analytics product portfolio for Wealth Management Finance, including roadmap, backlog, prioritization, and value delivery.
- Design and deliver executive-grade dashboards and narratives in ThoughtSpot, Databricks, and Tableau, aligned to governed metrics and finance definitions.
- Build artificial-intelligence-enabled conversational analytics using Databricks Genie and ThoughtSpot Spotter, including interaction design, evaluation, and monitoring.
- Partner with Data Engineering to ensure data quality, timeliness, lineage, and scalable architecture, validating semantic models and metric logic hands-on.
- Implement controls suited to a regulated environment, including access controls, privacy-by-design, and alignment to model, data, and operational risk expectations.
- Drive adoption through enablement, training, documentation, and measurable usage tracking with clear leadership feedback loops.
- Provide strong executive presence in senior Finance forums, framing insights, drivers, and recommended actions concisely.
- Establish technical and delivery standards and mentor analysts and visualization specialists through structured coaching and review.
Required qualifications, capabilities, and skills:
- Experience delivering data solutions and analytics for Finance stakeholders.
- Demonstrated production delivery in Tableau and/or ThoughtSpot, including dashboard design and metric architecture.
- Hands-on experience with the Databricks platform, including contributing to technical design discussions on semantic modeling and performance.
- Advanced SQL skills and the ability to validate datasets and logic end-to-end.
- Demonstrated ability to translate business questions into analytical products, including requirements definition and acceptance criteria.
- Experience building and maintaining a backlog independently based on stakeholder needs.
- Demonstrated experience setting quality standards and mentoring analysts.
- Demonstrated risk and control practices in a regulated environment, including data access governance and change management for reporting.
Preferred qualifications, capabilities, and skills:
- Experience building or product-managing conversational analytics or natural-language query experiences, including quality evaluation and guardrails.
- Experience with Databricks Genie and/or ThoughtSpot Spotter to enable governed self-service.
- Proficiency with Alteryx for workflow automation and repeatable data preparation.
- Wealth Management finance domain knowledge (profitability drivers, advisor metrics, client flows, assets under management, pricing/fees, and forecasting).
- Experience establishing analytics governance, such as metric-definition standards, release management, and adoption measurement.
- Familiarity with model risk management and artificial-intelligence governance in regulated environments.
- Prior formal people-management experience (hiring, performance management, and team development).
About Us
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. 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.
Equal Opportunity Employer/Disability/Veterans
About the TeamSkills Required
- Experience delivering data solutions and analytics for Finance stakeholders
- Production delivery experience in Tableau and/or ThoughtSpot, including dashboard design and metric architecture
- Hands-on experience with the Databricks platform, including contributing to semantic modeling and performance design
- Advanced SQL skills and ability to validate datasets and logic end-to-end
- Ability to translate business questions into analytical products, including requirements definition and acceptance criteria
- Experience building and maintaining a backlog independently based on stakeholder needs
- Experience setting quality standards and mentoring analysts
- Demonstrated risk and control practices in a regulated environment, including data access governance and change management for reporting
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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