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Lending AI Platform Lead, Director
NatWest Group. Lead the strategic vision and roadmap for the Commercial Lending AI Platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the strategy, architecture, and engineering of large-scale AI platforms, ensuring operational stability, compliance, and performance. Capable of translating complex business challenges into scalable technology solutions while fostering collaboration across multidisciplinary teams.
Highest-signal resume keywords
AI Platform ArchitectureCloud-Native EngineeringRisk ManagementAgile LeadershipFinancial Oversight
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Platform ArchitectureDistributed SystemsModern Software Engineering PracticesAgentic AI PlatformsModel IntegrationGovernance ControlsOperational ManagementObservabilityAutomationReliability Engineering
Soft Skills
Stakeholder EngagementCollaborationNegotiationServant LeadershipCommercial Acumen
Tools & Technologies
Orchestration FrameworksAgent Lifecycle ManagementEvaluation FrameworksGovernance FrameworksReusable Technology Capabilities
Industry Keywords
Financial ServicesRegulated IndustriesEnterprise AIMachine LearningTechnology Governance
Tech Stack
Tools & technologiesCloudDistributed Systems
About the role
Key responsibilities & impact- Lead the strategic vision and roadmap for the Commercial Lending AI Platform
- Own the architecture and engineering strategy for Matrix and the wider AI platform ecosystem
- Lead design and delivery of enterprise-grade agentic AI platform capabilities, including orchestration frameworks, agent lifecycle management, model integration, tool integration, retrieval architectures, governance controls, observability, evaluation frameworks and operational controls
- Drive engineering excellence through modern software engineering practices, platform engineering, automation, reliability engineering and operational excellence
- Oversee architecture, engineering, build, testing, implementation, platform operations, risk management and continuous optimisation
- Collaborate with senior business stakeholders, product owners, architects and engineering leaders to translate business outcomes into scalable technology solutions
- Embed risk, security and responsible AI practices and ensure regulatory and governance compliance
- Own financial, commercial and operational platform performance and report through executive governance forums
- Optimise initiative scheduling and sequencing against delivery, adoption, engineering quality, risk and cost targets
- Lead large multidisciplinary engineering, platform and architecture teams
- Maintain operational stability, availability, performance, scalability and resilience of AI platforms, infrastructure, frameworks and tooling
- Establish reusable platform services, standards, frameworks, controls and engineering patterns
- Represent platform and technology strategy at executive forums and influence senior stakeholders
Requirements
What you’ll need- Significant experience leading the strategy, architecture, engineering and delivery of large-scale AI, platform or cloud-native technology capabilities within complex enterprise environments
- Deep expertise in platform architecture, distributed systems, cloud-native engineering, modern software engineering practices and enterprise-scale technology operations
- Demonstrable experience designing, building and operating agentic AI platforms, including orchestration frameworks, agent architectures, LLM ecosystems, model integration patterns, governance controls and operational capabilities
- Proven track record of building foundational technology platforms consumed by multiple engineering teams and business domains
- Strong architectural leadership and technical credibility with senior engineers, architects and technology leaders
- Experience building highly resilient, secure and regulated technology platforms, ideally within financial services or similarly regulated industries
- Strong commercial acumen and ability to translate complex business challenges into scalable technical solutions
- Proven leadership skills, including Agile and servant leadership, and experience delivering transformational technology programmes through complex governance environments
- Expertise in risk management, financial oversight, stakeholder engagement and executive-level collaboration
- Operational, risk management, financial management, collaboration and negotiation experience and expertise
- Deep architecture, platform engineering and software engineering expertise
- Experience establishing AI platform operating models, engineering standards, governance frameworks and reusable technology capabilities
- Strong knowledge of enterprise AI, machine learning and agentic AI technologies, including production-scale applications
- Hands-on experience delivering AI platforms supporting model serving, agent orchestration, observability, evaluation, governance and operational management
- Expert understanding of large, complex technology programmes spanning multiple teams, disciplines and senior governance forums
- Ability to operate credibly as both a senior technology executive and deeply technical engineering leader
Benefits
Comp & perks- Full-time employment
- Director-level role