Technical Delivery Manager - Data Analytics & Engineering

About the role

ECS is hiring a Technical Delivery Manager for a client office in Koramangala, Bangalore, working hybrid (3 days a week from the office). The role suits someone with 8+ years of experience leading large-scale, enterprise-grade software delivery programs, covering end-to-end project management, customer success, team mentoring and high-quality delivery. The budget is up to 32 LPA, paid on the client payroll, with three rounds of interviews (senior TA, hiring manager, VP).

Key responsibilities

• Own end-to-end delivery of multiple large, complex projects and programs focused on Data Analytics and Data Engineering, covering scope, schedule, quality, cost and customer satisfaction.
• Define project scope, timelines, milestones and resource plans for predictable, timely delivery of value.
• Lead project governance: status reviews, steering committee meetings, risk and issue management and escalations.
• Manage customer expectations, build long-term client relationships and advise senior stakeholders.
• Lead, coach and mentor Data Engineers, Implementation Consultants, Developers, QA and Business Analysts.
• Track and report delivery metrics such as velocity, utilization, margins, quality and KPIs.
• Identify risks, dependencies and impediments early and champion process improvements.
• Work with Engineering, Architecture, Product Management, Pre-Sales and Support teams and ensure compliance with industry and regulatory standards.

Required profile

• Bachelor's degree in Engineering, Computer Science or equivalent practical experience.
• 8+ years in software delivery, project and program management, with 8+ years hands-on managing large, complex software projects.
• Proven experience managing multiple concurrent projects and distributed teams.
• Strong stakeholder management and communication skills, including with senior client executives.
• Background in delivery, risk, quality management and financial metrics; regulatory, financial services or enterprise systems experience is a strong plus.
• Pharma or Life Sciences domain experience is a plus.

Required skills

• Data Engineering or Data Analytics tools: Python, PySpark, SQL, Databricks, Neo4j and advanced Excel.
• Cloud experience, preferably AWS.
• Sufficient technical background to evaluate architectural decisions and delivery risks.

What we offer

• Medical insurance and paid time off.
• Employee recognition programs and referral bonus.
• Competitive compensation.