Drive the enterprise AI platform's transformation agenda — turning strategic intent into a platform that internal teams and vendors can build on with confidence.
Delivery & Stakeholder Management
Act as the technical owner inside the Innovation Lab — the person business stakeholders, vendors, and engineers all rely on to keep MVPs moving from idea to working prototype.
- Own the platform's integration strategy end-to-end — translate business and regulatory objectives into integration patterns, API specifications, and service interfaces that let internal and vendor-built solutions plug into the platform consistently and securely.
- Shape how AI capability gets adopted across the bank — define the onboarding pathway for new agents, bots, and AI services, whether built internally or delivered by external vendors, so adoption scales without creating fragmentation.
- Lead technical evaluation within market scans and RFI/RFP processes — assess vendor and fintech solutions for integration complexity, scalability, and fit against the transformation roadmap, partnering with the Innovation/AIC team on business and cost evaluation.
- Translate policy into practice — work with Risk/Compliance to convert enterprise AI governance policy into enforceable technical controls embedded in the platform, keeping the platform audit-ready as regulation evolves.
Governance & Risk Oversight
Keep leadership and governance bodies ahead of delivery risk — no surprises at checkpoints, no last‑minute scrambles before scale-up.
- Maintain a live view of progress across all active MVPs — track delivery status, integration blockers, and technical risk against timelines, and elevate early to the CTO and relevant stakeholders.
- Own governance checkpoint readiness — ensure MVPs arrive at AIC governance reviews with the architecture, documentation, and controls already in place, so checkpoints move at the pace of the business, not the paperwork.
- Push back where the plan doesn't hold — flag technical or delivery risk candidly, and challenge scope or timelines when the underlying design won't support them.
Production Readiness & Business Case Ownership
Own the handover from pilot to production, and make sure the business case that follows is built on accurate technical ground.
- Prepare MVPs for enterprise rollout — produce the documentation, integration specifications, and runbooks needed for a clean handover from pilot to production‑scale deployment.
- Inform the investment case — supply accurate technical scope, infrastructure, and integration cost estimates to support post‑MVP business cases led by the Innovation Hub.
Architecture Oversight (Technical Foundation)
The credibility behind the role: enough hands‑on architecture depth to earn trust from engineers and challenge vendors, even though the day‑to‑day is business‑and delivery‑facing.
- Cloud‑native architecture and integration patterns — REST, event‑driven, and protocol‑based integrations (e.g. MCP/function‑calling equivalents), applied well enough to sanity‑check designs, not necessarily to build them personally.
- AI/ML system literacy — working knowledge of where LLMs, smaller/specialized models, RPA, and agentic workflows fit architecturally, enough to evaluate vendor claims critically.
- Regulated‑industry data governance — understanding of data governance, access control, and audit requirements, enough to know what 'good' looks like when reviewing vendor and internal designs.
- DevSecOps fluency — familiarity with embedding security and compliance controls within CI/CD and platform pipelines, sufficient to hold delivery teams to the standard.
Qualifications
Experience
- 5–8 years spanning delivery leadership, digital transformation, or technical program management, with a solution architecture or platform engineering background — someone who has moved from hands‑on technical work into a broader delivery/transformation remit.
- Demonstrated ownership of getting a technical solution from MVP/pilot through to production‑scale deployment, in a regulated or enterprise environment.
- Experience managing or coordinating vendor relationships and RFI/RFP processes, including technical evaluation of fintech or AI/automation solutions.
- Track record operating as the connective layer between business stakeholders, engineering teams, and governance bodies in a fast‑moving innovation or Agile Lab environment.
Skills & Attributes
- Strong program and stakeholder management instincts — comfortable driving a delivery cadence, managing competing priorities, and keeping multiple workstreams visible without close supervision.
- Credible technical foundation — able to speak architecture fluently with engineers and vendors, even if not writing the specifications personally day‑to‑day.
- Strong written and verbal communicator — able to produce governance‑ready documentation and translate technical risk into business language for leadership.
- Comfortable operating with ambiguity and pace — able to act as technical/delivery owner inside an innovation environment without requiring detailed direction.
- Effective across functions — works well with Risk/Compliance, Innovation/AIC, external vendors, and engineering, and can flex communication style across all four.