Technical Delivery Manager

We are looking for a highly experienced Technical Delivery Manager with

• Own end-to-end delivery of multiple large and complex projects/programs, ensuring scope, schedule, quality, cost, and customer satisfaction related to Data Analytics and Data Engineering initiatives.
• Define project scope, timelines, milestones, and resource plans with a strong focus on predictable and timely delivery of value.
• Lead and facilitate project governance, including status reviews, steering committee meetings, risk and issue management, and escalation handling
• Manage customer expectations, build long-term client relationships, and act as a trusted advisor to senior stakeholders
• Lead, coach, and mentor cross-functional teams, including Data Engineers, Implementation Consultants, Developers, QA, and Business Analysts
• Track and report key delivery metrics such as velocity, utilization, margins, quality, and delivery KPIs
• Proactively identify risks, dependencies, and impediments and drive timely resolution to maintain delivery momentum
• Champion process improvement initiatives and continuously enhance delivery efficiency and quality
• Collaborate closely with Engineering, Architecture, Product Management, Pre-Sales, and Support teams for seamless execution
• Ensure compliance with industry, regulatory, and organizational standards where applicable

• Bachelor’s Degree in Engineering, Computer Science, or equivalent practical.
• Experience with 8+ years of experience in Data Analytics / Engineering delivery, project management, data related software implementation
• 8+ years of hands-on experience managing large and complex software projects
• Proven experience managing multiple concurrent projects and distributed teams
• Excellent stakeholder management and communication skills, including interaction with senior client executives
• Strong background in delivery management, risk management, quality Management.
• Experience in regulatory, Pharma/Life science, or enterprise systems is a strong plus
• Technical background to evaluate architectural decisions, delivery risks, and engineering trade-offs
• Exceptional leadership, problem-solving, and decision-making skills
• Ability to thrive in dynamic and fast-evolving environments while maintaining delivery excellence
• Must have hands-on experience or prior experience in Data Engineering or Data Analytics tools such as Python, PySpark, SQL, Databricks, Neo4j, and Advanced Excel
• Pharma or Life Sciences domain experience would be nice to have Cloud
• experience, preferably AWS, is preferred