Senior Program/Project Manager

Senior Program/Project Manager AI, DevOps & GCP Cloud Delivery

Position:

About the Role

Senior Project Manager

Key Responsibilities

• Lead and manage large-scale AI and cloud transformation programs from initiation to delivery, ensuring alignment with business goals and timelines.
• Drive the adoption of

  Agile/DevOps methodologies

  , CI/CD pipelines, and automation practices across engineering teams.
• Oversee the delivery of

  AI/ML models, data pipelines, and cloud-native applications

  on

  Google Cloud Platform (GCP)

  .
• Collaborate with business stakeholders, data scientists, architects, and cloud engineers to ensure seamless project execution.
• Manage budgets, resources, risks, and dependencies to ensure successful project outcomes.
• Define and monitor KPIs, success metrics, and governance frameworks for program health and delivery.
• Provide thought leadership in

  AI, DevOps, and Cloud modernization

  , advising clients on best practices and delivery strategies.
• Mentor and guide junior project managers, scrum masters, and delivery leads.

Required Skills & Experience

• 15+ years

  of experience in IT project/program management, with atleast

  5+ years in AI, DevOps, and Cloud delivery projects

  .
• Strong expertise in

  Google Cloud Platform (GCP)

  delivery, including services such as BigQuery, AI Platform, Vertex AI, Kubernetes (GKE), and Cloud Functions.
• Proven experience delivering

  AI/ML solutions

  , data engineering pipelines, and cloud-native architectures.
• Solid understanding of

  DevOps tools & practices

  (CI/CD, GitOps, Jenkins, Terraform, Kubernetes, Docker).
• Deep knowledge of

  Agile, Scrum, and SAFe frameworks

  with a track record of successful large-scale agile program execution.
• Excellent stakeholder management, communication, and leadership skills with experience engaging CXOs and senior business executives.
• Strong risk management, budgeting, and vendor coordination expertise.
• Certifications such as

  PMP, PRINCE2, CSM/SAFe Agilist, and GCP Cloud Architect/Engineer

  preferred.

Nice to Have

• Exposure to

  multi-cloud and hybrid environments

  (AWS, Azure, GCP).
• Experience with

  MLOps

  and scaling AI workloads in production.
• Industry knowledge in

  Telecom, BFSI, Retail, or Healthcare

  domains.
• Prior experience in setting up

  AI/Cloud Centers of Excellence (CoE)

  or transformation offices.

Education

• Bachelors or Masters degree in

  Computer Science, Engineering, or related fields

  .
• Advanced certifications in

  Cloud, AI/ML, or Project Management

  are highly desirable.

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