Product Manager — Data Management

JPMorganChase•Plano, TX

About The Position

As a Product Manager — Data Management within the Consumer & Community Banking Data & Analytics team, you will help lead Data State Intelligence (DSI) — a strategic intelligence layer that provides centralized, cross-platform visibility into data readiness, data state, data usage, cost transparency, and data quality across the Consumer & Community Banking data ecosystem.

Requirements

10+ 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

Nice To Haves

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

Responsibilities

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.