Technical Project Manager

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.