AI Program Manager (Hyderabad)

AI Program Manager ROLE OVERVIEW We are seeking a seasoned and strategic Program Manager to lead a portfolio of AI, Generative AI, and Agentic AI transformation initiatives across IT Operations. This role is pivotal in driving intelligent automation, cognitive operations, and AI-enabled service excellence across the enterprise IT landscape spanning Service Desk, Infrastructure, Cloud & Network Operations, Datacenter, and Application Support. The ideal candidate brings deep program management expertise, a explicit grasp of AI/ML transformation patterns, and exceptional leadership acumen to navigate complex global stakeholder environments. KEY RESPONSIBILITIES - Own and govern the end-to-end program lifecycle for AI and Gen AI initiatives across IT Operations domains, ensuring alignment to enterprise strategy, scope, schedule, cost, and quality. - Drive transformation programs leveraging Agentic AI, LLM-based automation, AIOps, and intelligent service management to modernize IT Operations at scale. - Establish and maintain robust program governance frameworks: steering committees, risk registers, RAID logs, escalation paths, and executive dashboards. - Collaborate with and influence Senior Leadership, VP-level, Senior Director leve and global senior leadership through compelling business cases, program updates, and strategic roadmap presentations. - Orchestrate cross-functional, geographically dispersed teams spanning IT Ops, Data Science, Platform Engineering, Business Units, and third-party vendors/SI partners. - Define and track KPIs, OKRs, and value realization metrics translating AI outcomes into quantifiable operational impact (cost reduction, MTTR, ticket deflection, SLA improvement). - Lead change management and adoption strategies to embed AI capabilities into IT Ops workflows, processes, culture. - Manage vendor relationships, contracts, and delivery accountability for AI platform and solution providers. - Identify, assess, and proactively mitigate program risks across technical, organizational, and geopolitical dimensions. REQUIRED QUALIFICATIONS - 15+ years of program/project management experience, with at least 8+ years leading large-scale, complex transformation programs in an IT environment. - Proven track record managing AI Gen AI Agentic AI, Automation, or Digital Transformation programs ideally within IT Operations, AIOps, or ITSM/ITOM domains. - Demonstrated experience working in global organizations with multi-geography, multi-cultural stakeholder ecosystems. - Strong executive presence with experience presenting to Senior VPs, and Global Leadership teams ability to distill complex technical narratives into crisp strategic insights. - Deep understanding of IT Operations domains: Service Desk, Infrastructure, Cloud (AWS/Azure/GCP), Network, Datacenter, and Application Maintenance & Support. - Solid familiarity with AI/ML concepts, Generative AI (LLMs, RAG, Copilots), Agentic AI frameworks, and their application to IT Ops use cases. - Experience with ITSM platforms (ServiceNow,) and AIOps tools (Splunk ITSI, Dynatrace, etc.) is strongly preferred. - PMP, PgMP, SAFe, PRINCE2, or equivalent program management certification required. - Proficiency with program management tools: MS Project, Jira, Confluence, Power BI / Tableau for reporting. - MBA or masters degree in computer science, Information Systems, Engineering, or related discipline. - Experience with AI governance, responsible AI frameworks, and enterprise AI ethics and compliance. - Background in IT Outsourcing (ITO) or Managed Services environments, managing multi-vendor ecosystems. - Exposure to hyperscale AI services: Azure OpenAI, AWS Bedrock, Google Vertex AI. - Familiarity with IT Financial Management (TBM) and delivering ROI-driven business cases. This role requires exceptional judgment, intellectual curiosity, and the passion to harness AI as a force multiplier for IT Operations excellence. CORE COMPETENCIES Leadership & Stakeholder Management - Executive-level communication & storytelling - Conflict resolution & stakeholder alignment - Global team leadership & matrix management Technical & Delivery Acumen - AI/Gen AI program delivery & governance - Agile / Hybrid / Waterfall delivery models - Risk management & benefits realization .