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Product Manager - Markets Data Lake

JPMorgan Chase & Co.

Greater London

On-site

GBP 70,000 - 90,000

Full time

2 days ago
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Job summary

A global financial services firm in Greater London is seeking a Product Manager to oversee the product life cycle for their data lake application. The ideal candidate will lead cross-functional teams, define key metrics, and ensure successful product launches. Key qualifications include experience in product management, technical knowledge in Cloud architectures (AWS preferred), and strong communication skills. This role offers an opportunity to make a significant impact on product delivery and client satisfaction.

Qualifications

  • Experience in product management or a relevant domain with a focus on technical projects.
  • Advanced understanding of product development life cycle and data analytics.
  • Coding experience in PySpark and Python.

Responsibilities

  • Lead the product life cycle for the data lake application.
  • Define and track KPIs to measure success.
  • Prioritize product backlog and coordinate releases.

Skills

Product management experience
Technical project management
Cloud platforms (AWS)
Coding in PySpark and Python
Data analytics
Communication skills
Organizational skills
Job description
The Team

The Markets Data Product team works closely with Line of Business teams and Chief Data Officers to design, build and deliver solutions to maximize value from Markets data assets. Our global team defines the roadmap and drives execution for our Cloud based Markets Data Platform which provides the technical Data Mesh to register, build and share high quality data products produced by the Markets business.

Role Overview

As a Product Manager, you will be an integral part of the team that leads the end-to-end product life cycle for our data lake application. You will act as the voice of the customer, developing profitable products that provide customer value while ensuring technical excellence. Your deep understanding of product development and technical requirements will guide successful product launches, gather crucial feedback, and ensure top-tier client experiences. Collaborate closely with cross‑functional teams to deliver high‑quality products that align with business goals and exceed customer expectations.

Key Responsibilities
  • Understand, contribute, and communicate the product vision, strategy, and roadmap for the data lake application as it evolves into a data mesh, ensuring alignment with business objectives and value.
  • Define and track clear metrics and key performance indicators (KPIs) to measure the success of the data lake application, focusing on adoption, quality, and business alignment.
  • Use a work‑backwards approach to gather, analyze, and prioritize business and technical requirements, translating them into user stories and acceptance criteria. Define deliverables, including testing, measurement, monitoring, and support strategies.
  • Work closely with data engineers, data scientists, business analysts, and stakeholders to ensure alignment and successful delivery. Engage with business partners to agree on scope and success criteria.
  • Oversee specific capabilities within the platform to ensure consistency and robust development. Each Product Owner is responsible for the successful delivery of specific scrums, working closely with the Engineering Lead and Agility Lead to define the scrum book of work.
  • Own and prioritize the product backlog, ensuring it reflects the highest value features and enhancements. Define the 'Definition of Done' and accept completed user stories.
  • Plan and coordinate releases, including feature prioritization, sprint planning, and sprint review sessions. Identify dependencies on external teams and coordinate cross‑team releases.
  • Perform solid testing of new capabilities, acting as a first‑hand customer, which includes PySpark and Python coding, SDLC developments, etc.
  • Identify and mitigate risks, dependencies, and impediments that may impact delivery timelines or product quality.
  • Foster a culture of continuous improvement by conducting retrospectives, gathering feedback, and implementing process enhancements.
  • Ensure sufficient training, documentation and communications are available for successful product launches. Conduct regular demos to ensure the product meets objectives.
Required Experience and Skills
  • Experience in product management or a relevant domain, with a focus on technical projects or software development roles with project management experience.
  • Advanced understanding of the product development life cycle, design, and data analytics.
  • Proficiency in Cloud platforms (AWS preferred); certifications are a plus.
  • Coding experience in PySpark and Python, with the ability to comprehend high‑level code functionality.
  • Demonstrated ability to lead product life cycle activities, including discovery, ideation, strategic development, and value management.
  • Exceptional written and verbal communication skills, with the ability to present effectively to diverse stakeholders and senior management.
  • Strong organizational and prioritization abilities, detail‑oriented, with excellent interpersonal and influencing skills.
  • Proven track record of delivering quality results in a high‑pressure, rapidly changing environment, demonstrating flexibility and adaptability.
  • Join us and make a meaningful impact by delivering high‑quality products that resonate with clients and drive business success.
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