As an Engineering Manager, you will provide delivery governance across multiple engineering pods building an enterprise-grade SaaS platform in the data privacy, data governance and AI governance space. You will own delivery outcomes, team health, staffing and continuity, and act as the main point of contact for client and leadership on delivery, risk and reporting. The role needs strong technical credibility combined with people management and engineering operations discipline.

Own delivery governance across multiple pods: sprint commitments, release plans, milestones and quality outcomes.

Manage staffing, onboarding, knowledge transfer, continuity planning and timely replacements so teams stay fully productive.

Track and manage risks, dependencies and issues across pods, and drive escalations to closure with client and internal stakeholders.

Define, track and report engineering metrics (velocity, predictability, defect leakage, cycle time, test coverage) and drive improvement actions.

Support timesheet management, effort tracking and invoicing reconciliation.

Partner with Tech Leads and the AI Architect on technical direction, capacity planning and engineering best practices.

Coach and mentor Tech Leads and engineers, and drive performance management, growth opportunities and team engagement.

Bachelor's or Master's degree in Computer Science,



Engineering, or a related field, or equivalent experience.

- 8+ years of software engineering experience, including at least 3 years as an Engineering Manager or Delivery Manager.
- Proven experience managing multiple agile teams (20+ engineers) on enterprise software or SaaS engagements.
- Technical background in Java, Python or full-stack development, enough to engage credibly in architecture and design discussions.

Strong expertise in Agile/Scrum delivery at scale, including multi-team planning, dependency management and release governance.

Experience with staffing, resource planning, onboarding and people management.

Hands-on experience defining and reporting engineering KPIs and delivery metrics.

Working knowledge of Java/Spring Boot, Python, Angular, microservices and AWS/Azure cloud.

Understanding of CI/CD, DevOps, test automation and quality engineering practices.

Experience with Jira, Confluence and delivery reporting tools such as Excel or Power BI.

Familiarity with Time & Material engagements, timesheets and invoicing processes.

Experience delivering AI/ML, GenAI or data platform programs.

Domain exposure to data privacy, governance, security or compliance products.

Certifications such as PMP, CSM, SAFe or PMI-ACP.

📌 Engineering Manager Scrum (Secunderabad)
🏢 Thinkwise Consulting
📍 Secunderabad