Technical Program Manager - Naukri.com - IIT/NIT/BITS/IIM/MDI/ISB

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 8 - 10 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.