At a Glance
- Tasks: Lead the product life cycle for our innovative data lake application.
- Company: Join J.P. Morgan, a global leader in financial services and innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and development.
- Why this job: Make a meaningful impact by delivering high-quality products that resonate with clients.
- Qualifications: Experience in product management or software development; coding skills in PySpark and Python preferred.
- Other info: Be part of a diverse team committed to inclusion and excellence.
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
- 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.
- 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.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
Product Manager - Markets Data Lake | London, UK employer: JPMorgan Chase & Co.
Contact Detail:
JPMorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager - Markets Data Lake | London, UK
✨Tip Number 1
Familiarise yourself with the latest trends in data management and cloud technologies, especially AWS. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the product management and data analytics fields. Attend industry meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your experience with agile methodologies and how you've successfully managed product backlogs in previous roles. Be ready to share specific examples that demonstrate your ability to prioritise features and deliver quality results.
✨Tip Number 4
Showcase your coding skills in PySpark and Python by working on relevant projects or contributing to open-source initiatives. This practical experience will not only enhance your resume but also give you confidence when discussing technical aspects of the role.
We think you need these skills to ace Product Manager - Markets Data Lake | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, particularly in technical projects or software development. Emphasise your understanding of the product development life cycle and any experience with Cloud platforms like AWS.
Craft a Compelling Cover Letter: In your cover letter, express your passion for product management and how your skills align with the role. Mention specific experiences that demonstrate your ability to lead product life cycles and deliver quality results in fast-paced environments.
Showcase Technical Skills: Since the role requires coding experience in PySpark and Python, include examples of projects where you utilised these skills. Highlight your ability to comprehend high-level code functionality and any relevant certifications.
Prepare for Interviews: If selected for an interview, be ready to discuss your approach to product management, including how you gather and prioritise requirements. Prepare to share examples of how you've successfully collaborated with cross-functional teams and delivered high-quality products.
How to prepare for a job interview at JPMorgan Chase & Co.
✨Understand the Product Vision
Make sure you have a clear understanding of the product vision and strategy for the Markets Data Lake. Be prepared to discuss how your experience aligns with their goals and how you can contribute to evolving the data lake into a data mesh.
✨Showcase Your Technical Skills
Since the role requires proficiency in coding, particularly in PySpark and Python, be ready to demonstrate your technical knowledge. You might be asked to explain high-level code functionality or even solve a coding problem during the interview.
✨Prepare for Cross-Functional Collaboration
The role involves working closely with various teams, including data engineers and business analysts. Highlight your experience in cross-functional collaboration and how you've successfully delivered projects by aligning different stakeholders.
✨Discuss Metrics and KPIs
Be prepared to talk about how you define and track success metrics and KPIs for products you've managed. This will show your understanding of measuring product performance and your ability to drive adoption and quality.