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Product Manager — Data Management

Job in Plano, Collin County, Texas, 75086, USA
Listing for: JPMorganChase
Full Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    AI Business & Operations, Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 140000 - 170000 USD Yearly USD 140000.00 170000.00 YEAR
Job Description & How to Apply Below

Job Description

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.

Job 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.
Required Qualifications , Capabilities, And Skills
  • 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.
Preferred Qualifications , Capabilities, And Skills
  • 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…
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