Program Manager (Tech + AI driven Program Management) - Naukri.com

Program Manager

Tech + AI Driven Program Management

Desired Candidate Profile

The ideal candidate should have an Engineering degree with an MBA from a top-tier institute, possessing 810

years of IT experience, including at least 5 years in Project/Program Management. The candidate should have

strong product engineering exposure, exceptional stakeholder management skills, and hands-on experience

leveraging AI-powered tools and automation to improve program governance, execution, and decision-making.

Qualifications

• Engineering + MBA from Top tier institute.
• 8-12 years experience including minimum 5 years expertise in project or program management domain.
• Advanced communication and facilitation skills. Formal training preferred.
• Advanced presentation skills. Demonstrated comfort in presenting to senior level cross functional audiences.
• Demonstrated working knowledge of advanced concepts with program management approaches, tools and

methodologies. PMP/CSM certification preferred.

• Extensive experience in full life cycle of project management, including planning, budgeting, estimating.
• Proven expertise as Chief Scrum Master for team, support in managing & executing sprint ceremonies.
• Good knowledge of Engineering concepts and agile or project management tools viz. JIRA, Confluence,

Power BI, etc.

• Strong analytical, problem solving and decision-making skills.
• Strong aptitude and attitude for working in a Matrix organization in IC role.
• Well versed with Agile methodologies i.e. SCRUM & KANBAN.
• Product Management collaboration with Risk & Dependency Management
• Executive Stakeholder Management with Data Analysis & Dashboarding (Excel, Power BI/Tableau)
• Jira, Confluence, Azure DevOps with Engineering & SDLC Understanding
• Workflow Automation (Power Automate, Zapier, Make, or similar)
• Hands-on experience leveraging AI tools and capabilities (ChatGPT, Microsoft Copilot, Gemini, Claude, NotebookLM, etc.) for program and project management including automated status reporting, meeting summarization, risk prediction, dashboarding, and workflow automation.

Responsibilities

• Demonstrate the ability to assess cross-functional impacts of decisions and proactively drive alignment

across Engineering, Product, Design, Sales, and Business teams.

• Understand the business objectives of programs and assume end-to-end accountability for delivering measurable business outcomes.
• Own successful delivery of strategic programs through effective planning, execution, governance, and stakeholder management.
• Review and govern the overall portfolio, ensuring projects are prioritized, planned, and executed in alignment with business goals.
• Act as Chief Scrum Master for the portfolio and facilitate sprint planning, stand-ups, retrospectives, backlog grooming, and release planning.
• Drive regular interactions with Product, Engineering, QA, Design, Analytics, Sales, and Leadership teams to ensure seamless execution.
• Demonstrate excellent process thinking by documenting workflows, identifying bottlenecks, and driving process standardization.
• Publish timely status reports, dashboards, executive summaries, risks, dependencies, metrics, and portfolio health updates.
• Generate regular and ad-hoc insights from multiple data sources, ensuring data accuracy while identifying leading indicators and business risks.
• Manage stakeholder expectations and proactively resolve critical escalations.
• Build strong collaborative relationships across cross-functional teams to ensure effective program execution.
• Identify, quantify, mitigate, and track risks, issues, dependencies, and change requests throughout the program lifecycle.
• Assess business impact of risks and drive mitigation plans with clear ownership.
• Drive executive communication through concise, data-driven updates and leadership reviews.
• Demonstrate strong organizational skills with the ability to manage multiple concurrent strategic initiatives.
• Drive continuous improvement initiatives by identifying opportunities for operational excellence and automation.
• Roll up sleeves to actively participate in execution discussions and remove delivery bottlenecks.
• Understand engineering architecture, software development lifecycle, and facilitate technical discussions across teams to drive closure.

AI & Automation Capabilities

• Leverage Generative AI and AI-powered productivity tools (ChatGPT, Microsoft Copilot, Gemini, Claude,

etc.) to improve program execution, governance, reporting, and stakeholder communication.

• Design and implement AI-assisted program governance frameworks, including automated status reporting,

meeting summaries, action-item tracking, risk identification, and executive dashboards.

• Build AI-powered workflows for project tracking, requirement summarization, sprint analysis, dependency

management, and portfolio health monitoring.

• Use AI to analyze program metrics, identify trends, predict delivery risks, recommend corrective actions,

and improve decision-making.

• Drive adoption of AI across Product and Engineering teams to improve productivity, documentation quality,

and operational efficiency.

• Collaborate with Data, Engineering, and Product teams to identify AI-led automation opportunities across

SDLC and business processes.

• Evaluate emerging AI tools and recommend solutions that improve delivery efficiency, resource utilization,

and stakeholder experience.

• Develop prompts, AI copilots, and reusable templates to automate repetitive Program Management

activities.

• Champion an AI-first mindset by continuously improving processes through intelligent automation while

ensuring responsible and secure AI adoption.