Vendor Governance, AI Solutions & ServiceNow Platform (Bengaluru)

Description Role Summary We are seeking a senior technology leader to drive Vendor Governance, AI Solutions enabled enterprise transformation. The role requires a seasoned qualified with deep experience across AI technology stacks, ServiceNow architecture, enterprise solution design, engineering delivery, vendor ecosystem governance, and business stakeholder engagement. The leader will be responsible for shaping and delivering AI-enabled business solutions on and around the ServiceNow platform, overseeing architecture and implementation teams, managing technology partners and vendors, and ensuring AI initiatives translate into measurable business outcomes. This is a highly visible leadership role at the intersection of business strategy, ServiceNow platform leadership, AI architecture, engineering execution, vendor governance, and responsible AI adoption. Key Responsibilities ServiceNow Platform & AI Solution Leadership - Lead technology strategy, architecture, and delivery for AI-enabled solutions using ServiceNow as a core enterprise workflow platform. - Define the roadmap for digital workflow transformation across business and technology functions. - Drive the use of ServiceNow workflow, AI capabilities and understand the use of GRC, IRM, AI Search, Virtual Agent, Predictive Intelligence, Now Assist, and GenAI capabilities. - Identify opportunities to embed AI, automation, analytics, and intelligent workflows into vendor management & enterprise governance processes. - Ensure solutions are scalable, secure, well-governed, integrated, and aligned with enterprise architecture standards. AI Strategy, Architecture & Technology Leadership - Define and lead the enterprise AI technology roadmap aligned to business priorities and ServiceNow platform strategy. - Architect scalable AI solutions using modern AI, GenAI, data, cloud, automation, integration, and ServiceNow technologies. - Evaluate and guide decisions across LLMs, GenAI platforms, ServiceNow Now Assist, platform AI capabilities, AI/ML models, orchestration frameworks, enterprise knowledge sources, cloud infrastructure, APIs, integration hubs, model governance, monitoring, security, privacy, and compliance controls. - Translate business problems into AI-enabled workflow solutions with clear value propositions. - Establish architecture standards, reference patterns, reusable components, and delivery guardrails for ServiceNow and AI solutions. Business-Facing Solution Leadership - Partner with business leaders to identify tech enablement and AI opportunities that improve productivity, cost, revenue, risk, employee experience, customer experience, and operational efficiency. - Act as a trusted advisor to senior stakeholders on AI solution feasibility, ServiceNow platform capability, technology options, risks, and expected outcomes. - Lead discovery, solution shaping, business case development, roadmap creation, and implementation planning. - Convert ambiguous business needs into clear solution blueprints, process designs, platform configurations, integration plans, and measurable outcomes. - Ensure ServiceNow and AI initiatives are tied to business KPIs, adoption metrics, and value realization. Delivery & Implementation Leadership - Lead cross-functional development and implementation teams across ServiceNow, AI, data, engineering, cloud, cybersecurity, operations, and business functions. - Oversee end-to-end delivery from ideation, prototype, MVP, production rollout, scaling, and continuous improvement. - Drive agile delivery practices, platform engineering, DevSecOps, MLOps, LLMOps, release governance, and production-grade operations. - Ensure solutions follow ServiceNow implementation best practices, platform governance, configuration-first principles, upgradeability, security, and performance standards. - Manage delivery risks, dependencies, budgets, timelines, solution quality, stakeholder expectations, and business adoption. Vendor Governance & Partner Management - Own governance of ServiceNow, AI technology vendors, and platform ecosystem partners. - Define vendor evaluation criteria, selection frameworks, commercial models, delivery standards, and performance metrics. - Manage partner delivery performance, contract adherence, SLAs, platform quality, value realization, and risk exposure. - Establish governance forums, scorecards, escalation mechanisms, architecture review boards, and continuous improvement plans. - Ensure vendors align with ServiceNow architecture standards, enterprise security, responsible AI, compliance, and business outcome expectations. - Support sourcing, RFPs, contract negotiations, partner onboarding, delivery assurance, and rationalization of the vendor ecosystem. AI Governance, Risk & Responsible AI - Ensure AI and ISG solutions comply with enterprise governance, data privacy, security, model risk, regulatory, and responsible AI standards. - Partner with risk, legal, cybersecurity, compliance, enterprise .