Job responsibilities
- Develops a product strategy and product vision that delivers value to customers
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Own the product roadmap, vision, execution, risk management, and performance outcomes for the platform. Manage the full product lifecycle by setting strategy, translating customer needs into prioritized capabilities, and continuously adapting the roadmap to deliver business outcomes. Coach and mentor product teams on best practices including solution generation, market research, storyboarding, prototyping, and product delivery.
- Be accountable for product performance by investing in enhancements and addressing barriers that limit adoption, usability, and operational scalability. Monitor market trends, conduct competitive analysis, and identify opportunities to differentiate through modern data observability, cloud-native data ecosystems, and cost intelligence practices.
- Define and drive strategic capabilities spanning data observability, cost transparency, data state tracking, usage analytics, and centralized metrics aggregation to deliver holistic data intelligence at scale. Lead development of core capabilities including data readiness observability, state-based lifecycle tracking, centralized alerting, cost attribution models, and AI-driven conversational experiences.
- Drive self-service intelligence experiences that enable stakeholders to proactively assess and act on data readiness, cost, and operational signals through unified dashboards and AI-driven conversational interfaces.
- Build AI-driven intuitive conversational experiences that enable users to explore data insights, ask questions in natural language, and act on intelligence through guided, interactive dialogue.
- Drive cross-platform integration by partnering with data platforms, pipeline infrastructure, and governance teams to ensure reliable metrics availability, consistent telemetry standards, and signal correlation.
- Connect data-state signals to customer, financial, and risk outcomes to drive business-impact intelligence and informed decision-making across the organization.
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- 5+ years of experience or equivalent expertise delivering products, projects, or technology applications. Extensive knowledge of the product development lifecycle, technical design, and data analytics
- Ability to drive adoption of product lifecycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Experience driving change and managing stakeholders across multiple functions. Experience partnering with compliance, security, and governance stakeholders
- Executive-level product management capability within a large organization, including strong strategic thinking and crisp product communication
- Proven experience owning data observability, data intelligence, or similar cross-platform data products that aggregate signals across distributed systems. Strong grasp of data architecture principles including APIs, streaming, batch, lineage, data state modeling, and signal correlation patterns
- Deep understanding of multi-cloud data ecosystems, including platforms such as AWS, Databricks, and Snowflake
- Foundational understanding of AI/ML concepts including large language models, natural language processing, and conversational AI, with the ability to translate AI capabilities into user-centric product experiences
- Familiarity with design tools such as Figma and rapid prototyping techniques to effectively collaborate with design teams and iterate on product concepts
- Demonstrated prior experience working in a highly matrixed, complex organization
- Advanced degree in a related field (e.g., Computer Science, Business Administration)
- Familiarity with AI/ML integration for anomaly detection, intelligent alerting, and predictive data-state analytics
- Strong stakeholder management and executive communication skills, including experience presenting to C-level audiences
- Experience designing unified platform experiences that bridge technical depth and business accessibility and with modern data observability and intelligence platforms
- Familiarity with data state concepts, event-driven architectures, and near real-time data processing frameworks
- Experience defining responsible AI practices including managing bias, ensuring explainability, and addressing hallucination risks in AI-driven product experiences
- Familiarity with prompt engineering, conversational design patterns, and feedback-loop mechanisms for continuously improving AI-powered features
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
- 5+ years of experience in product management or a relevant domain
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product lifecycle activities including discovery, ideation, strategic development, requirements definition, and value management
- 5+ years delivering products, projects, or technology applications
- Experience driving change and managing stakeholders across multiple functions, including compliance, security, and governance
- Executive-level product management capability within a large organization, strong strategic thinking and executive communication
- Proven experience owning data observability, data intelligence, or similar cross-platform data products aggregating signals across distributed systems
- Strong grasp of data architecture principles including APIs, streaming, batch, lineage, data state modeling, and signal correlation patterns
- Deep understanding of multi-cloud data ecosystems (examples: AWS, Databricks, Snowflake)
- Foundational understanding of AI/ML concepts including large language models, natural language processing, and conversational AI
- Familiarity with design tools such as Figma and rapid prototyping techniques
- Demonstrated prior experience working in a highly matrixed, complex organization
- Advanced degree in a related field (e.g., Computer Science, Business Administration)
- Familiarity with AI/ML integration for anomaly detection, intelligent alerting, and predictive data-state analytics
- Experience presenting to C-level audiences and strong stakeholder management
- Experience designing unified platform experiences for modern data observability and intelligence platforms
- Familiarity with event-driven architectures and near real-time data processing frameworks
- Experience defining responsible AI practices including bias management, explainability, and hallucination mitigation
- Familiarity with prompt engineering, conversational design patterns, and feedback-loop mechanisms for AI features
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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