Data Observability Product Jobs

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Product Manager — Data Management

JPMorganChase Plano, TX

Plano, TX

Today

$123k - $201k/yr Full time Analytics Cloud Platform Data Analysis

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Job Description

In JPMorgan Chase’s Consumer & Community Banking Data & Analytics group, the Product Manager for Data Management leads the Data State Intelligence initiative to provide centralized visibility into data readiness, state, usage, cost transparency, and quality. This role shapes the platform roadmap, drives adoption, and translates insights into measurable business outcomes, all from a Plano, TX onsite location with a compensation range of USD 122,550 to 201,000 per year and a requirement of 10+ years of experience.

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.

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.

Technologies

AWS
Databricks
Snowflake
Figma

Benefits

Base salary
Discretionary incentive compensation
Health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Organization Description

The Consumer & Community Banking division serves Chase customers with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and

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