Vice President - Delivery Lead

Role Overview

Responsible for defining and executing a multi-year Quality Engineering (QE) strategy aligned to business priorities. The role leads enterprise-wide quality transformation across cloud, platforms, DevSecOps, and AI-enabled engineering, ensuring regulatory compliance, operational resilience, and measurable business outcomes.

Strategy & Operating Model

• Define and execute a multi-year QE strategy aligned with business and technology priorities
• Establish and operate a QE Centre of Excellence covering test architecture, tooling, data, environments, and non-functional engineering
• Build and scale a unified quality platform including environment management, environment-as-a-service, unified reporting, and AI-enabled accelerators
• Embed quality gates into DevSecOps pipelines and champion shift-left and shift-right testing practices
• Drive adoption of advanced testing approaches such as contract testing, chaos and resilience testing, and canary and A/B validation

Cloud & Platform Engineering

• Orchestrate quality for cloud migration and modernisation initiatives across public cloud, containers, and serverless platforms
• Ensure validation of infrastructure-as-code and policy-as-code aligned to SRE principles and service-level objectives
• Govern non-functional requirements including performance, reliability, resilience, security, accessibility, and cost efficiency at platform scale

AI Enablement & Responsible Use

• Introduce and scale AI and ML capabilities within QE including test generation, impact analysis, defect analytics, and flakiness reduction
• Establish governance frameworks for AI-assisted quality tools ensuring auditability, data privacy, IP protection, and ethical use
• Validate AI models for bias, robustness, and operational risk in line with enterprise controls

Delivery Leadership & Stakeholder Management

• Lead a portfolio of programmes across Investment, Distribution, and Corporate domains with outcome-driven roadmaps
• Manage complex multi-vendor ecosystems with clear governance using SLAs, SLOs, OKRs, and transparent performance dashboards
• Act as senior escalation point for critical incidents and complex delivery risks, driving root-cause analysis and sustainable remediation

People, Culture & Ways of Working

• Build, mentor, and inspire a high-performing community of SDETs, test architects, and quality leaders
• Drive continuous upskilling in cloud, security, data, and AI engineering practices
• Promote inclusive leadership, experimentation, and continuous improvement aligned with organisational values

Governance, Risk & Compliance

• Ensure compliance with regulatory and internal risk controls across software and data changes
• Embed evidence-based quality assurance to support audits and regulatory reviews

Key Stakeholders

• Business Product Owners across Investments, Distribution, and Corporate functions
• Studio Teams, SRE and Platform Engineering teams
• Information Security, Risk and Compliance teams
• Senior Leadership and Governance Committees
• Strategic Vendor Partners, Managed Service Providers, and Cloud and Tool Vendors
• External consultants, audit bodies, and industry forums

Experience & Education

• 18+ years of experience in QA/QE with 8+ years leading large-scale, multi-vendor engineering organisations
• Proven experience transforming QE in regulated Financial Services, Asset Management, or Capital Markets environments
• Demonstrated success in building and scaling QE Centres of Excellence and delivering measurable business outcomes
• Graduate degree in Computer Science, Finance, or a related discipline
• ISTQB or equivalent certification preferred