At a Glance
- Tasks: Build a modern metadata marketplace to enhance data governance and delivery.
- Company: Join a leading firm in Asset Management with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with strong emphasis on teamwork and career advancement.
- Why this job: Shape the future of data management and make a real impact across the industry.
- Qualifications: Experience in product management and knowledge of metadata management concepts required.
The predicted salary is between 60000 - 80000 £ per year.
Help teams find, understand, and trust data by building a modern metadata marketplace. You'll shape a strategic product used across Asset Management to strengthen governance and accelerate delivery. As a Product Manager in the Marketplace product team within Asset Management Data Strategy, you will define and deliver capabilities that drive genuine business value by improving how data is catalogued, governed, discovered and consumed. You'll partner with technology and business stakeholders to build tools that manage data domains and subdomains, high quality data products and the semantics that describe them. You'll also evolve the marketplace as the metadata repository that supports lineage, data contracts, and data quality, powering AI.
Job responsibilities
- Execute the product vision and strategy for Marketplace capabilities that strengthen data governance outcomes
- Partner with technology to align architecture, delivery approach, and release plans to product priorities
- Engage stakeholders to understand needs and translate them into clear product requirements for metadata management
- Define and prioritize features for data domains/subdomains, systems of record, and business term classification
- Own the product roadmap, including outcome-focused milestones, sequencing, and dependency management
- Manage the feature backlog, including scope, prioritization, and trade-offs based on value and risk
- Coordinate delivery across cross-functional teams (data architecture, engineering, analytics, and compliance)
- Drive end-to-end delivery of roadmap items, surfacing risks and cross-team dependencies early
- Deliver capabilities that support metadata capture for lineage, data contracts, and data quality use cases
- Measure adoption and effectiveness using agreed success metrics, and adjust priorities based on insights
- Improve processes and tooling to adapt to evolving business needs and regulatory expectations
Required qualifications, capabilities, and skills
- Demonstrated product management or product delivery experience on large-scale data platforms
- Working knowledge of metadata management concepts (cataloging, lineage, business glossary, quality signals)
- Ability to translate stakeholder needs into epics, user stories, acceptance criteria, and prioritized roadmaps
- Experience partnering with engineering teams to deliver software products using iterative delivery methods
- Strong capability to build alignment with senior stakeholders and maintain cohesive working partnerships
- Ability to facilitate collaboration across multiple teams and manage competing priorities
- Familiarity with artificial intelligence (AI) enabled product or software delivery, and implications for metadata usability
Preferred qualifications, capabilities, and skills
- Hands‑on experience in engineering or development within data management platforms
- Industry‑recognized certifications in data management (or related governance disciplines)
Asset Management Data Marketplace - Product Senior Associate employer: J.P. Morgan
As a leading employer in the Asset Management sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to drive meaningful change. Our commitment to professional growth is evident through tailored development opportunities and a supportive environment that encourages cross-functional teamwork. Located in a vibrant city, we offer a dynamic workplace where you can contribute to cutting-edge data solutions while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Asset Management Data Marketplace - Product Senior Associate
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like J.P. Morgan!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Asset Management Data Marketplace - Product Senior Associate at J.P. Morgan.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like J.P. Morgan.
✨Apply Directly through Our Website
When you find a suitable opening like Asset Management Data Marketplace - Product Senior Associate at J.P. Morgan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Asset Management Data Marketplace - Product Senior Associate
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at J.P. Morgan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at J.P. Morgan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at J.P. Morgan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at J.P. Morgan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
