Technical Program Manager

We are looking for an experienced Technical Program Manager (TPM) to take end-to-
end ownership of multiple concurrent software and technology projects, ensuring
successful delivery across technology, people, processes, client expectations, and
commercials.This is a technically driven program and delivery leadership role, not purely project
coordination. The ideal candidate should have a strong software engineering/technical
background, sound understanding of modern application architecture and cloud
technologies, and proven experience managing multiple projects, cross-functional
teams, and client engagements.
Experience in AI/ML, Generative AI, LLM, Agentic AI, or AI-enabled project delivery
will be an added advantage.
Key Responsibilities
 Own the end-to-end delivery of multiple projects/programs, from
requirements, estimation and planning through development, UAT, deployment,
and support transition.
 Manage scope, timelines, resources, budgets, dependencies, risks, quality,
and delivery commitments across concurrent projects.
 Work closely with Architects and Technical Leads on solution design,
estimations, architecture, integrations, and technology decisions.
 Review and challenge technical approaches to ensure solutions are scalable,
secure, maintainable, and aligned with business requirements.
 Lead cross-functional teams including Developers, Technical Leads, Architects,
QA, DevOps, UI/UX, BA, AI/ML Engineers, and other specialists.
 Drive Agile/Scrum delivery, sprint/release planning, program governance, RAID
management, and management reporting.
 Act as a key client interface for technical discussions, governance, status
reviews, delivery commitments, and escalations.
 Proactively manage scope changes, delivery risks, dependencies, resource
constraints, and client escalations.
 Monitor project/program financials including planned vs. actual effort, resource
utilization, billing milestones, budgets, and delivery margins.
 Ensure adherence to engineering practices including code reviews, CI/CD,
testing, security, documentation, release management, and production
readiness.
 Support pre-sales activities including requirement analysis, solution discussions,
estimations, resource planning, SOWs, and technical proposals.
 Mentor Project Managers, Technical Leads, and senior team members while
driving accountability, delivery discipline, and continuous improvement.
Technical Competencies
The candidate is not expected to code on a daily basis, but must be technically
strong enough to understand, evaluate, and challenge engineering decisions.
Strong understanding of:
 Modern software development lifecycle and engineering practices
 Web and enterprise application architecture
 APIs, microservices, system integrations, and databases
 Cloud platforms such as AWS, Azure, or GCP
 DevOps, CI/CD, Git, containerization, and deployment processes
 Application security, performance, scalability, and production monitoring
 Agile/Scrum methodologies
 Exposure to AI/ML, Generative AI, LLMs, RAG, Agentic AI, or AI-based
solution delivery is an advantage
 Familiarity with AI tools, platforms, APIs, or frameworks such as
OpenAI/Azure OpenAI, Gemini, Claude, LangChain, LlamaIndex, Hugging Face,
or similar technologies is an added advantage
Experience with technology stacks such as Java, .NET, Python, Node.js, PHP,
ColdFusion, React, Angular, Vue, mobile technologies, or similar enterprise
stacks will be advantageous.
Required Experience & Skills
 8–14 years of overall experience in software development/technology delivery.
 Minimum 5 years in Technical Project Management, Program Management,
Delivery Management, or similar leadership roles.
 Proven experience managing multiple concurrent software projects and
cross-functional engineering teams.
 Prior hands-on software development or strong technical engineering experience
is highly preferred.
 Experience delivering medium-to-large projects for external/enterprise clients.
 Strong understanding of estimation, resource planning, project financials,
utilization, and delivery margins.
 Experience delivering AI/ML or GenAI-based projects will be a plus.
 Experience working with international clients, particularly North American,
European, or Middle Eastern customers, is advantageous.
 Excellent client communication, stakeholder management, leadership,
problem-solving, and decision-making skills.
 PMP/PRINCE2, Scrum/SAFe, AWS/Azure/GCP, ITIL, or similar certifications are
advantageous but not mandatory.
Success Measures
Success will be measured through on-time and within-budget delivery across
projects, project quality, client satisfaction, resource utilization, estimation
accuracy, delivery margins, risk management, reduced escalations, team
performance, and repeat business/account growth.
Ideal Candidate
A technically grounded program and delivery leader who can comfortably move
between multiple project priorities, client discussions, architecture reviews,
sprint/release planning, resource challenges, commercial concerns, and escalations.
The ideal candidate should be able to ask engineering teams the right technical
questions, communicate complex issues to clients in business language, make
practical delivery decisions, and take clear ownership of overall program and delivery outcomes.

Work arrangement
No