Senior Program manager

Experience:

• 8-10 years of experience in the Artificial Intelligence industry.
• Demonstrated track record of successful AI program management.
• Proven experience in leading cross-functional teams and driving program delivery.

Education Qualification:

• Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.

Certification required:

• Project Management Professional (PMP) certification or equivalent.

Behavioural Skills:

• Exceptional leadership and decision-making abilities.
• Strong communication and stakeholder management skills.
• Adaptability and resilience in dynamic, fast-paced environments.
• Strategic thinking and problem-solving capabilities.
• Commitment to fostering a culture of diversity, equity, and inclusion.

Technical Skills:

• Advanced knowledge of AI technologies, methodologies, and tools.
• Expertise in program management principles and best practices.
• Proficiency in data analysis and interpretation to drive program insights.
• Familiarity with Agile and Scrum methodologies in the context of AI program delivery.

Non-Negotiable Skills:

• AI program management
• Project management certification
• Leadership and decision-making abilities

Conclusion:

The Senior Program Manager role at Adani presents an exciting opportunity for an experienced professional to lead and shape the future of AI programs. By leveraging advanced technical skills, strong leadership capabilities, and a commitment to excellence, the successful candidate will contribute to Adani's continued innovation and success in the AI industry.

Roles and Responsibilities:

• Lead and manage AI programs from initiation to closure, ensuring alignment with organizational goals and objectives.
• Develop and execute comprehensive program plans, including scope, schedule, budget, and resource management.
• Collaborate with stakeholders to define program requirements and deliverables, ensuring clear communication and expectation management.
• Identify and mitigate program risks, proactively addressing issues to maintain program momentum.
• Oversee the allocation and utilization of resources, optimizing efficiency and productivity within AI programs.
• Monitor program performance and KPIs, providing regular reporting and insights to key stakeholders.
• Champion continuous improvement and innovation within AI program management practices, leveraging industry best practices and emerging technologies.
• Provide leadership and mentorship to program teams, fostering a culture of collaboration, accountability, and high performance.