AI Research Product Management – Vice President (VP)

TN United Kingdom
London
1 month ago
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Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect.AI Research Product Management – Vice President (VP), LondonClient:Location: London, United KingdomJob Category: OtherEU work permit required: YesJob Reference: 86de211f37e6Job Views: 19Posted: 14.03.2025Expiry Date: 28.04.2025Job Description:

About AI ResearchThe goal of . Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, to develop and discover principles of impact to . Morgan’s clients and businesses. Morgan AI Research has assembled a team of experts in many fields of AI. They pursue primary research in areas related to our research pillars as well as concrete problems related to financial services. They partner with internal teams to accelerate the adoption of AI within the firm. They also work with leading academic faculty around the world on areas of mutual interest. The team is headquartered in New York and present in London, the Bay Area and Madrid. Conducting AI research in financial services offers unique and exciting opportunities for impact -- as a member of this highly visible team, you will have the opportunity to realize significant impact not only within . Morgan but also to the broader AI community.AI Product ManagementThe AI Research team has made tremendous progress along its research and business transformation agenda, since being established in 2018. The team is now further accelerating its agenda towards business impact. The AI Research Product Managers drive business adoption of novel AI technologies and approaches, working closely with the AI Researchers. As a Product Manager, you will drive product vision, work closely with our cross-functional teams to define key outcomes and guide the team through key milestones. We’re looking for strong entrepreneurial product managers who have a strong interest for AI and Machine Learning and the role it plays in the financial services industry, can think big and execute on that vision, and excel in ambiguity.Responsibilities:Identify and prioritize selected key areas of focus for AI business transformationExecute on product roadmaps through engagements with prospects, customers, designers & engineersWrite, refine and execute on product requirementsDrive engagement with business stakeholders, prioritizing demands and managing expectations influencing decisions through the use of data and logicLiaise with product marketing to proactively create product launches and drive adoption and engagement with productsPublicize AI capabilities by organizing workshops, symposiums, showcases and other knowledge sharing activitiesDefine and agree vision for the AI transformation effort, high level roadmap and measures of successBuild and syndicate business cases, including required investment for transformationDefine engagement model with key stakeholders, including Applied AI and technology teamsDrive overall adoption, senior stakeholders’ updates and business impactDemonstrated understanding of financial industry servicesSignificant experience working on technology-powered products as product managerMaster’s degree or equivalent practical experience.An avid AI user and able to communicate AI concepts wellKnowledge of python, APIs, modern software development stackDemonstrated understanding of the techniques and methods of modern product discovery and product delivery.Demonstrated ability to learn multiple functional areas of business – engineering, design, finance, sales, or marketing.Demonstrated ability to figure out solutions to hard problems with many constraints, using sound judgement to assess risks, and to lay out your argument in a well-structured, data-informed, written narrative.Proven ability to engage with engineers, designers, and company leaders in a constructive and collaborative relationship.Understanding of data & machine learningExceptional communication skills (written and verbal) and collaborative working approach.Preferred qualifications:Master's degree in Computer Science, Engineering or related topicsWorking knowledge of AI & ML tasks and techniques.Experience in working with industrial research labs within financial services or other industriesAbility to handle projects and prioritize accordingly, working well under pressure and tight deadlines.

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