Manager

About us

KPMG Delivery Network India (KDNI) is a diverse entity spread across multiple cities in India. We are an important part of the KPMG Delivery Network (KDN), a global organization that supports KPMG member firms in delivering global priority solutions to their clients across a number of different industries. Our team of over 3,000 professionals in India are known for their technical acumen and business insights, that come together to deliver exceptional client service.

When you join KDN, you'll be a part of the wider KPMG global network working alongside some of our profession's most skilled practitioners on rewarding programs and initiatives that are changing the way business operates, delivering value to the clients of KPMG member firms and driving positive change in the communities we serve.

As a KDN India colleague you will be helping to accelerate new ways of working, using cutting-edge technology to create increased value, and working together with member firm colleagues across the globe to drive sustainable growth and help achieve our ambition to be the most trusted and trustworthy professional services firm.

Come as you are

As a firm, we are deeply committed to diversity, inclusion and equity at our workplace. We offer a safe and inclusive environment built on trust, where all our colleagues can bring their authentic selves to work and know that their uniqueness is valued.

We prohibit unfair treatment of applicants and employees and discrimination on any ground, including but not limited to, caste, religion, color, ancestry, marital status, medical condition, sex, gender identity and/or expression, sexual orientation, age, nationality, cultural origin, family or parental status, defense veterans, physical, mental or sensory disability or any other status or characteristic protected by applicable Indian laws and regulations.

1. Project Planning & Delivery Management

• Define project scope, objectives, and success criteria in collaboration with business and technical stakeholders.

• Prepare detailed project plans, timelines, resource allocations, and risk registers.

• Manage end-to-end project execution — from initiation to closure — across multiple concurrent projects.

• Oversee technical delivery, ensuring milestones and deliverables align with architecture, data, and product goals.

• Track progress using Agile or hybrid frameworks, managing sprint cycles, releases, and dependencies.

• Ensure project delivery within scope, time, cost, and quality constraints.

2. Stakeholder & Communication Management

• Serve as the primary liaison between engineering, product, leadership, and client teams.

• Conduct regular project governance meetings, including steering committee reviews, sprint reviews, and retrospectives.

• Present project health dashboards, risk assessments, and forecasts to senior management.

• Manage communication channels and documentation for all project stakeholders.

• Build and maintain strong relationships across internal and external partners.

3. Technical Understanding & Coordination

• Collaborate with software engineers, architects, and data scientists to understand project technicalities and dependencies.

• Translate high-level technical requirements into actionable delivery milestones.

• Facilitate alignment across AI/ML, data, backend, and cloud teams, ensuring end-to-end system coherence.

• Review and validate technical feasibility, data architecture, and design decisions with relevant SMEs.

• Support teams in adopting modern tools, frameworks, and automation to improve delivery efficiency.

4. Risk, Budget & Resource Management

• Maintain project budgets, resource forecasts, and utilization reports.

• Identify and manage project risks and mitigation strategies proactively.

• Oversee vendor contracts and third-party integrations where applicable.

• Ensure compliance with organizational standards, security policies, and quality processes.

5. Agile, Process & Performance Improvement

• Promote Agile and Lean principles — drive retrospectives and continuous improvement initiatives.

• Leverage tools like Jira, Confluence, MS Project, or Asana for delivery visibility and tracking.

• Build data-driven reporting systems for metrics such as velocity, burn rate, defect ratio, and delivery predictability.

• Mentor and guide team members in agile project management and technical execution best practices.
 

Core Experience

• 8–12 years of professional experience, with at least 5+ years in IT project management or delivery leadership roles.

• Proven track record of delivering software, AI, or data engineering projects in complex enterprise environments.

• Demonstrated ability to manage multi-disciplinary teams — including developers, analysts, QA, data engineers, and data scientists.

• Strong knowledge of Agile, Scrum, and Waterfall methodologies, with hands-on hybrid delivery experience.

Technical Proficiency

• Educational background in Computer Science, Information Technology, or Engineering (Bachelor's or higher).

• Strong understanding of:

• Software development lifecycle (SDLC)

• Data platforms, APIs, and cloud technologies (AWS, Azure, GCP)

• Data pipelines, ETL, or data governance principles

• AI/ML workflows (model building, MLOps, deployment cycles)

• Familiarity with DevOps and CI/CD practices is a strong advantage.

Project Management Tools

• Proficiency with Jira, Confluence, MS Project, Asana, or  for project planning and reporting.

• Competent with visualization and reporting tools (Excel, Power BI, Tableau preferred).

Certifications (Preferred)

• PMP / PRINCE2 / CSM / PSM / PMI-ACP

• ITIL or SAFe certification (added advantage).

• Technical certification in Cloud / Data / AI domains preferred.