Delivery Manager
Skills
About This Role
Highest Education
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Job Description
- The Service Delivery Partner (Banking QE) is a high-impact leadership role focused on driving technical excellence and innovation across our MEA Banking practice.
- Essential Requirements
- Experience: 18+ years of rich experience in Service Delivery for testing projects within the BFS segment.
- Geography: Proven expertise in managing large-scale delivery specifically for the Middle East market, with exposure to other geographies.
- Technical Depth: Strong Technical Program Management (TPM)
skills
- ; ability to "roll up sleeves" to solve technical roadblocks.
- Education/Fundamentals: Deep understanding of Agile methodologies, P&L management, and end-to-end accountability.
- Communication: Exceptional verbal and written communication skills for stakeholder management.
Key Responsibilities
- and Deliverables 1.
- AI & GenAI Innovation Leadership
- GenAI Integration: Lead the deployment of Generative AI tools to automate test case generation, synthetic data creation, and self-healing automation.
- AI Evaluation: Establish frameworks for the quality assurance of AI/ML models within the banking sector, ensuring model reliability and compliance.
- Predictive QA: Utilize machine learning analytics to identify high-risk code areas and transition the delivery model from reactive testing to proactive prevention. 2. Technical Program Management & Shift-Left Strategy
- Shift-Left Implementation: Drive QE involvement into the earliest stages of the SDLC (Requirements & Design) to ensure "Testability" is architected into the product
- Complex Delivery: Manage a portfolio of 25+ parallel projects across Digital, Core Banking, and Middleware with a focus on automation-first outcomes.
- DevOps-CT: Orchestrate Continuous Testing (CT) within CI/CD pipelines, integrating automated quality gates into the developer workflow.
- Ambiguous Environments: Navigate complex technical landscapes including data migration and middleware testing where documentation may be sparse.
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