Controls Room Product Owner (Associate) — AI-Driven Ops

Aumni

Jersey City (NJ)

In loco

USD 120.000 - 160.000

Tempo pieno

6 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

JPMorgan Chase & Co. seeks a Controls Room Product Owner (Associate) to drive product strategy and delivery across the controls environment. You will enable oversight, improve test design and execution, and apply AI-enabled workflow patterns with human oversight and controls.

You will partner with Engineering, Data Science, and Design to deliver scalable, resilient solutions, align roadmaps with user needs, and measure success via metrics like productivity and cycle time.

Competenze

  • 3+ years in product management/ownership or related fields.
  • Experience delivering across lifecycle with measurable results.
  • Ability to deliver iteratively in fast-paced agile squads.

Mansioni

  • Support product strategy and delivery for the Controls Room ecosystem.
  • Lead discovery activities to translate needs into a prioritized roadmap.
  • Execute delivery in an agile Pizza POD model with rapid prototyping.
  • Own and maintain the product backlog with epics and user stories.
  • Contribute to AI enablement with responsible deployment and human oversight.
  • Collaborate with Engineering, Data Science, and Design to deliver scalable solutions.
  • Establish and track success metrics and guide prioritization.
  • Support go-to-market and change management for adoption and impact.

Conoscenze

Product management
Backlog management
Stakeholder management
Risk & controls
Communication
Agile methods
AI enablement

Strumenti

GitHub Co-Pilot
Claude
ChatGPT
Databricks
ThoughtSpot
Sigma
Prophecy
Python

Descrizione del lavoro

JPMorgan Chase & Co. seeks a Controls Room Product Owner (Associate) to drive product strategy and delivery across the controls environment. You will enable oversight, improve test design and execution, and apply AI-enabled workflow patterns with human oversight and controls.

You will partner with Engineering, Data Science, and Design to deliver scalable, resilient solutions, align roadmaps with user needs, and measure success via metrics like productivity and cycle time.

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