Technical Project Manager

Role Overview: As a Technical Project Manager (TPM), you will own end-to-end delivery of medium to complex SaaS / Data / GenAI programs, ensuring alignment between business goals, architecture and execution. This is not a coordination role - you are expected to bring technical depth, strong execution rigor and ownership to drive high-quality, scalable, production-ready systems. Key Responsibilities: - Own successful end-to-end delivery from customer discovery through production go-live and hypercare, balancing scope, quality, schedule, commercial objectives, and customer satisfaction. - Own discovery workshops with customers and drive requirement clarification. Translate ambiguous customer requirements into clear user stories, execution plans, and aligned technical direction. - Manage change requests throughout the project lifecycle while ensuring scope control and stakeholder alignment. - Establish strong delivery governance, including sprint planning, tracking, release management, Definition of Ready (DoR), Definition of Done (DoD), quality gates, and continuous improvement. - Validate estimates, capacity plans, and project schedules to ensure realistic execution plans and optimal resource utilization. - Constantly evaluate scope vs. utilization and drive data-driven decisions to maximize delivery efficiency. - Identify and proactively mitigate delivery, technical, resourcing, and commercial risks. - Manage cross-team dependencies, remove blockers, and ensure smooth execution across engineering teams. - Act as the primary customer interface, managing expectations, communication, escalations, and aligning delivery with business outcomes. - Provide regular project and program status updates, delivery insights, and risk visibility to customers and leadership. - Participate in architecture discussions, validate high-level design decisions, and facilitate technical trade-offs with engineering teams. - Drive execution across backend, frontend, mobile, and data engineering teams while ensuring scalable, reliable, and production-ready solutions. - Demonstrate a working knowledge of modern engineering practices, including microservices, event-driven architectures, CI/CD, DevOps, cloud platforms (AWS/Azure/GCP), and AI-assisted software development. - Promote engineering excellence by encouraging observability (logging, monitoring, tracing), shift-left practices (testing, security, automation), and AI-assisted development. - Monitor engineering and delivery metrics, including sprint predictability, release quality, production stability, defect trends, and customer satisfaction, to drive continuous improvement. - Identify opportunities for delivery optimization, automation, account growth, and support solutioning and pre-sales activities. - Demonstrate strong resource planning capabilities and effectively build and manage project teams from initiation to successful delivery.