National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Product Manager - Fusion

JPMorganChase
London
2 months ago
Applications closed

Related Jobs

View all jobs

Principal Product Manager - Data Science & Machine Learning

Principal Product Manager – Data Science & Machine Learning

Commercial Managers(AI/Telco/Data Science Industry)

Product Owner

Engineering Manager - OSS and Tools

Data Science Manager, Financial Crime

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

National AI Awards 2025

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.