Senior Technology Product Manager, Finance Technology (AI/ML & Data Strategy), SVP in London

Senior Technology Product Manager, Finance Technology (AI/ML & Data Strategy), SVP in London

London Full-Time 81000 - 99000 £ / year (est.) Home office (partial)
C

At a Glance

  • Tasks: Lead product strategy and innovation in AI/ML for finance technology.
  • Company: Join Citi, a global leader in finance and technology.
  • Benefits: Enjoy competitive salary, remote work options, and career growth opportunities.
  • Other info: Dynamic team environment focused on innovation and collaboration.
  • Why this job: Make a real impact in finance tech while working with cutting-edge AI solutions.
  • Qualifications: Experience in product management and strong analytical skills required.

The predicted salary is between 81000 - 99000 £ per year.

Citi operates through five major business divisions — Services, Markets, Banking and International, Wealth, and U.S. Personal Banking. Each of these generates complex financial data and transactions that require robust technology infrastructure. Technology and Business Enablement is the division that cuts across all of them, providing shared platforms, controls, and transformation programs. Finance Technology lives within T&BE, making it a truly enterprise-wide function, delivering technology solutions for Finance, Accounting, Regulatory Reporting, and Treasury across all Citi businesses globally.

Responsibilities:

  • The Finance Technology Product Management Analyst is a strategic professional who owns defining our overarching product strategy, spearheading business engagement and transformation and contributing to directional strategy for AI, integration and automation capabilities.
  • Define Product vision, strategy and roadmap, develop solution proposals, business cases, solution design and tactics in engagement with Business and Technology stakeholders.
  • Lead business process redesign, map existing and to-be processes for operational optimization, digital transformation initiatives.
  • Drive cross-functional collaboration and effective communication with business and technology partners, to guide, influence and convince others and lay the direction for Product development.
  • Ownership of the Product backlog and roadmap, strategy, outlining the vision and direction for the product offering over time.
  • Participate in day-to-day product management for core products such as product delivery, client experience, and client communication strategies.
  • Lead a culture of innovation, “test and learn” experiments to create platform products that increase customer value.
  • Define and measure the KPIs for a platform product.
  • Work in an agile environment, continuously reviewing the business needs, refining priorities, outlining milestones and deliverables, and identifying opportunities and risks.
  • Manage cross-functional dependencies, regulatory and risk alignment, user adoption and change management.
  • Collaborate with various teams and application owners to unify data concepts across finance applications across Citi.
  • Stay ahead of AI, bringing new ideas back to the team and actively applying what they're learning to the products we build.
  • Appropriately assess risk and impact when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets.
  • Provide evaluative judgment based on analysis of information in complicated and unique situations.
  • Communicate clearly and proactively across distributed teams.
  • Keep safety non-negotiable, building AI systems with security, compliance, and AI safety in mind.

Must-have skills:

  • Demonstrated experience in Product Management and/or Product Development discipline.
  • Strong understanding of Finance processes and data flows, record to report, Accounting, reconciliation, regulatory reporting and financial close process.
  • Familiarity with Financial products and asset classes.
  • Strong working knowledge of Agentic AI, ML, LLM, A2A concepts, Intelligent rule engine and their practical applications in business processes across financial services.
  • Solid experience with Data pipelines/integrations and consumption patterns, Modelling, Data Lineage, Quality & Governance.

Good-to-have:

  • At least familiarity and conceptual understanding of SQL/Python/APIs, Data Analytics.
  • Ability to represent customer needs to guide product development features, functionality, and overall competitiveness.
  • Ability to critically assess where AI adds value vs. where traditional rule-based automation/process improvements are more effective.
  • Proven ability to translate ambiguous business problems into structured AI and automation opportunities.
  • Ability to apply ingenuity, creativity and analytical thinking to problem analysis and resolution.
  • Build consensus and communicate the value proposition to key partners and stakeholders across the organization.
  • Highly self-motivated, effective communication and decision management skills.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

Senior Technology Product Manager, Finance Technology (AI/ML & Data Strategy), SVP in London employer: Citigroup

Citi is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. As a Sales Director, you will benefit from extensive training and mentorship opportunities, fostering your professional growth while working alongside industry leaders in FX Sales. With a strong commitment to integrity and inclusivity, Citi provides a supportive culture that empowers employees to excel and drive meaningful results for clients.

C

Contact Details:

Citigroup Recruitment Team

We think you need these skills to ace Senior Technology Product Manager, Finance Technology (AI/ML & Data Strategy), SVP in London

Product Management
Finance Processes Understanding
Data Analysis
AI and Machine Learning Knowledge
Data Pipeline Management
SQL
Python