Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Product Manager - Fusion

JPMorganChase
London
6 months ago
Applications closed

Related Jobs

View all jobs

Product Manager, AdTech and Machine Learning London, UK • Advertising Technology +1 more • Prod[...]

Principal Product Manager, Data Science & Machine Learning

Principal Product Manager, Data Science & Machine Learning

Defence Artificial Intelligence Lead Product Manager

Engineering Manager, Machine Learning Platform

Senior Manager Data Science & Analytics

Description

Join a dynamic product team that continually strives to innovate develop and deliver exceptional technology initiatives.

As a Product Manager within the Fusion team you will serve as a crucial point of contact for both clients and internal teams comprehending their business necessities and technical prerequisites. Your role will involve ensuring a smooth client experience by striking a balance between support service and relationship management. Adaptability innovation and a dedication to continuous learning are essential in this role to facilitate Fusions growth.

Job responsibilities

  • Provide exceptional support and guidance to clients through various channels (inperson video conference email phone) ensuring they are fully equipped to utilize Fusion capabilities
  • Act as a subject matter expert on Fusion keeping abreast of latest product developments while providing insights and sharing best practice to clients and internal teams
  • Design and implement efficient processes including the creation of runbooks to streamline client interactions and identify opportunities for process automation
  • Develop and nurture strong relationships with clients and internal teams to gain a deep understanding of their business objectives and success criteria
  • Partner with Fusion stakeholders during the implementation process of Fusion solutions ensuring timely delivery and alignment with client expectations
  • Collaborate with internal teams to identify key stakeholders set project goals and ensure accountability throughout the implementation lifecycle
  • Understand the data/technology landscape across Financial Institutions and data management trends and challenges.

Required qualifications capabilities and skills

  • 5 year Formal training or certification on data science or software engineering concepts and 5 years of applied experience
  • Proficiency in Python SQL and familiarity with other database technologies
  • Proven track record of successfully managing client relationships and delivering solutions in a SaaS Data or Technology environment
  • Exceptional communication and interpersonal skills with a strong emphasis on client satisfaction and relationship building
  • Proven ability to work collaboratively within crossfunctional teams and independently when necessary
  • Strong problemsolving skills with the ability to identify issues and determine when escalation is required
  • Experience in providing training and support to clients enhancing their understanding and utilization of cloudbased data management platforms
  • Comprehensive understanding of enterprise solutions including cloud technologies data management and APIs
  • Bachelors degree in Business Data Science Information Technology or a related field

Preferred qualifications capabilities and skills

  • Possession of advanced certifications in data science cloud computing or software engineering such as AWS Certified Solutions Architect Google Professional Data Engineer Certified Data Scientist or Project Management Professional (PMP)
  • Possess knowledge of AI and machine learning methodologies along with proficiency in AI tools and techniques to enhance client solutions and drive innovation.
  • Understanding of financial market data and fund services including familiarity with major data vendors to effectively address client needs and deliver tailored solutions using comprehensive data sources and analytics specific to the financial and fund services sectors
  • Proven ability to integrate industryspecific insights into client solutions enhancing the value and relevance of the Fusion platform for financial and fund services clients
  • Strong analytical skills to interpret complex data sets and provide actionable insights that align with client objectives in the financial industry



Required Experience:

IC


Key Skills
Time Management,Data Analytics,Analytical,Agile,Requirement Gathering,Strategic thinking,Visio,Communication,Problem Solving,Market Research,UML,Cross Functional Teams
Employment Type :Full-Time
Experience:years
Vacancy:1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.