Info Edge - 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.