Vice President - Delivery Lead

Strategy & Operating Model
- Define and execute the multi year QE strategy aligned to business priorities; establish COE operating model covering test architecture, tooling, data, environments and non-functional engineering (performance, resilience, security, accessibility). - Build a unified quality platform: test env mgmt (incl. synthetic & privacy-safe), environment-as-a-service, unified reporting, and AI-enabled accelerators. - Embed quality gates in DevSecOps pipelines; champion shift-left/right practices incl. contract testing, chaos/resilience testing, A/B & canary validation. Cloud & Platform Engineering - Orchestrate quality for cloud migration and modernisation on public cloud and container platforms; ensure infra-as-code and policy-as-code validation and SRE-aligned SLOs. - Govern non-functional requirements (NFRs) and platform-wide performance, reliability, and cost-efficiency testing. AI Enablement & Responsible Use - Introduce genAI/ML for QE (test case generation, impact analysis, defect clustering, flakiness reduction) with appropriate guardrails, model validation and bias/robustness checks. - Establish a governance framework for AI-assisted quality tools, auditability, data privacy and IP protection. Delivery Leadership & Stakeholder Management - Lead a portfolio of programmes across Investment, Distribution and Corporate functions; ensure outcome-based roadmaps and benefits realisation. - Navigate complex multi-vendor ecosystems; implement vendor governance (SLAs, SLOs, OKRs) and joint accountability through transparent dashboards. - Serve as senior escalation and problem-solving point for critical incidents and complex delivery risks; drive structured root-cause and lasting remediation. People, Culture & Ways of Working - Build and mentor a high-performing community of SDETs, test architects and quality leaders; invest in upskilling on cloud, security, data and AI. - Promote inclusive behaviours and a culture of continuous improvement and experimentation aligned to M&G values. Governance, Risk & Compliance - Ensure adherence to regulatory and internal controls; embed evidence-led quality assurance for audits across software and data changes.

Knowledge, Skills, Experience & Educational Qualification

Knowledge & Skills:

Experience

- 18+ years in QA/QE with 8+ years leading large, multi-vendor engineering organisations.
- Proven track record transforming QE in regulated Financial Services/Asset Management or Capital Markets. - Built and scaled QE CoEs; turned around challenged programmes; delivered measurable business outcomes.

Education

- Graduate in Computer Science, Finance, or related discipline.
- ISTQB or equivalent certification preferred.