AI Implementation Senior Manager, TGS

About the Position

AI Implementation Senior Manager, TGS

Wise is a global technology company, building the best way to move and manage the world’s money. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

We’re looking for an AI Implementation Senior Manager to turn operational challenges into practical AI solutions for our global teams. You’ll join Transformation, Governance and Strategy (TGS), the team that designs and delivers initiatives and governance frameworks to help Wise’s operations scale, and report to the Head of TGS.

Responsibilities

• Identify opportunities: Work with operational teams and TGS specialists to understand complex workflows and prioritize opportunities for AI assistance or automation.
• Build and integrate solutions: Design and develop AI agents using approved platforms and custom code where needed. Map data flows, connect reliable knowledge sources and integrate outputs into existing tools without unnecessary manual workarounds or duplicate systems.
• Assess and improve enterprise data readiness: Understand how operational data is created, defined and connected across Wise’s systems. Identify authoritative sources and assess their quality, completeness, freshness, accessibility and business context for each use case. Work with data and system owners to resolve gaps, clarify definitions and establish reliable data flows so AI agents can produce accurate, actionable results.
• Deliver with partner teams: Work with operational experts and AI Champions to test solutions against real needs. Coordinate technical dependencies and deployment with Product and Engineering, and engage Privacy, Security and Compliance throughout delivery.
• Monitor and improve: Maintain the agents you build, monitor their accuracy and reliability, and improve them as business needs and technology evolve.
• Enable wider adoption: Document solutions, contribute to the central AI knowledge wiki and share reusable approaches that help colleagues build their capabilities.

Requirements

Essential Experience

• Practical AI implementation: Demonstrable experience building AI agents or automations, including designing, testing and improving prompts and agent workflows.
• Enterprise data fluency and readiness: You can navigate a complex enterprise data landscape and assess whether the available data is fit for an AI use case. You understand data ownership, lineage, business definitions and relationships across systems. You can identify missing context, inconsistent records and access constraints, then work with the right teams to address them.
• Systems and data integration: You can use SQL, APIs and connectors to give AI agents reliable business context and integrate their outputs into operational workflows. You design data flows with appropriate permissions, maintainability and alignment with existing architecture.
• Software development: Experience building tools or extending platforms when off-the-shelf solutions do not meet the need. You can turn prototypes into tested, documented and maintainable software.
• AI and architecture judgement: An understanding of how large language models (LLMs) behave and fit into backend systems. You can evaluate outputs, recognize limitations and make design choices that support scalability and avoid unnecessary technical debt.
• Independent delivery: A track record of taking ownership from problem definition through delivery. You build relationships, resolve dependencies and align your work with Product and Engineering’s technical direction.
• Testing and iteration: Comfort working through ambiguity, testing ideas empirically and using what you learn to improve solutions.
• Clear communication: The ability to translate operational needs into technical requirements and explain solutions clearly to technical and operational colleagues.

Desirable Experience

• Experience with platforms such as Credal, Gemini, Agentspace, NotebookLM, Codex, Replit, and Claude.
• Knowledge of Payments, Customer Support, Financial Crime or KYC operations.
• Experience navigating enterprise data lakes, warehouses and lakehouses.
• Experience using Google Apps Script or JavaScript to prototype operational solutions.

We Offer

• Competitive salary: £83000 to £110000 annually (+RSU's)
• Full-time position
• Inclusive and diverse work environment: We celebrate our differences and believe teams are strongest when they are diverse, equitable and inclusive.

About the Company

Wise is a global technology company, building the best way to move and manage the world’s money. We are on a mission to make lives easier and save money for people and businesses sending money to another country, spending abroad, or making and receiving international payments.

For more information about working at Wise, visit Wise.Jobs.

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