We are seeking a senior technology leader to drive Vendor Governance, AI Solutions enabled enterprise transformation. The role requires a seasoned professional 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.
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Lead technology strategy, architecture, and delivery for AI-enabled solutions using ServiceNow as a core enterprise workflow platform.
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Define the roadmap for digital workflow transformation across business and technology functions.
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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.
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Identify opportunities to embed AI, automation, analytics, and intelligent workflows into vendor management & enterprise governance processes.
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Ensure solutions are scalable, secure, well-governed, integrated, and aligned with enterprise architecture standards.
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Define and lead the enterprise AI technology roadmap aligned to business priorities and ServiceNow platform strategy.
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Architect scalable AI solutions using modern AI, GenAI, data, cloud, automation, integration, and ServiceNow technologies.
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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.
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Translate business problems into AI-enabled workflow solutions with clear value propositions.
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Establish architecture standards, reference patterns, reusable components, and delivery guardrails for ServiceNow and AI solutions.
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Partner with business leaders to identify tech enablement and AI opportunities that improve productivity, cost, revenue, risk, employee experience, customer experience, and operational efficiency.
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Act as a trusted advisor to senior stakeholders on AI solution feasibility, ServiceNow platform capability, technology options, risks, and expected outcomes.
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Lead discovery, solution shaping, business case development, roadmap creation, and implementation planning.
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Convert ambiguous business needs into clear solution blueprints, process designs, platform configurations, integration plans, and measurable outcomes.
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Ensure ServiceNow and AI initiatives are tied to business KPIs, adoption metrics, and value realization.
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Lead cross-functional development and implementation teams across ServiceNow, AI, data, engineering, cloud, cybersecurity, operations, and business functions.
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Oversee end-to-end delivery from ideation, prototype, MVP, production rollout, scaling, and continuous improvement.
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Drive agile delivery practices, platform engineering, DevSecOps, MLOps, LLMOps, release governance, and production-grade operations.
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Ensure solutions follow ServiceNow implementation best practices, platform governance, configuration-first principles, upgradeability, security, and performance standards.
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Manage delivery risks, dependencies, budgets, timelines, solution quality, stakeholder expectations, and business adoption.
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Own governance of ServiceNow, AI technology vendors, and platform ecosystem partners.
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Define vendor evaluation criteria, selection frameworks, commercial models, delivery standards, and performance metrics.
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Manage partner delivery performance, contract adherence, SLAs, platform quality, value realization, and risk exposure.
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Establish governance forums, scorecards, escalation mechanisms, architecture review boards, and continuous improvement plans.
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Ensure vendors align with ServiceNow architecture standards, enterprise security, responsible AI, compliance, and business outcome expectations.
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Support sourcing, RFPs, contract negotiations, partner onboarding, delivery assurance, and rationalization of the vendor ecosystem.
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Ensure AI and ISG solutions comply with enterprise governance, data privacy, security, model risk, regulatory, and responsible AI standards.
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Partner with risk, legal, cybersecurity, compliance, enterprise architecture, and data governance teams to operationalize AI controls.
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Establish practices for model validation, explainability, bias monitoring, auditability, human-in-the-loop controls, knowledge governance, and lifecycle management.
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Ensure responsible use of ServiceNow AI capabilities, GenAI integrations, enterprise data, and automation workflows.
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Drive ethical and responsible AI practices across internal teams, vendors, and implementation partners.
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Lead, mentor, and grow high-performing teams across ServiceNow engineering, AI engineering, architecture, delivery, platform operations, and vendor management.
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Build ServiceNow and AI capability frameworks, platform standards, reusable assets, delivery playbooks, and implementation accelerators.
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Foster a culture of innovation, accountability, experimentation, engineering excellence, and business-value orientation.
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Influence senior stakeholders and lead adoption across business, technology, operations, and vendor teams.
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Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, Data Science, or a related field.
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18-202years of experience in technology leadership, enterprise architecture, engineering delivery, digital transformation, ServiceNow delivery, platform engineering, or AI solutions.
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Strong engineering background with hands-on experience earlier in career and demonstrated progression into senior leadership roles.
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Proven experience working directly with business stakeholders to design and deliver technology-enabled business outcomes.
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Experience leading ServiceNow platform initiatives, workflow transformation, AI, data, automation, cloud, or digital transformation programs at enterprise scale.
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Strong understanding of modern AI, GenAI, workflow automation, and enterprise platform architectures.
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Experience managing ServiceNow partners, technology vendors, SI partners, cloud providers, or AI platform providers.
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Demonstrated ability to lead large, distributed, cross-functional teams.
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Strong program governance, stakeholder management, executive communication, and commercial acumen.
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ServiceNow platform architecture and enterprise workflow design.
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AICT, SecOps, GRC, and IRM modules.
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Now Assist, Virtual Agent, AI Search, Predictive Intelligence, Automation Engine, Flow Designer, Integration Hub, and App Engine.
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ServiceNow CMDB, CSDM, service mapping, discovery, and operational data models.
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ServiceNow platform governance, instance strategy, release management, upgrade planning, and technical debt management.
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Integration of ServiceNow with enterprise systems, cloud platforms, data platforms, collaboration tools, and AI services.
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ServiceNow partner governance, implementation quality assurance, and managed services oversight.
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ServiceNow certifications such as CSA, CIS, CAD, CTA, or equivalent experience are desirable.
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Generative AI, LLMs, agentic AI, RAG, prompt engineering, AI agents, and AI orchestration frameworks.
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AI/ML platforms, model development lifecycle, MLOps and LLMOps.
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Cloud platforms such as Azure, AWS, or Google Cloud.
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Data engineering, knowledge management, data lakes, lakehouse platforms, APIs, and integration architecture.
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Enterprise application architecture, microservices, event-driven architecture, and workflow automation.
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DevSecOps, CI/CD, observability, monitoring, and production operations.
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Cybersecurity, identity, access management, and data protection.
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Responsible AI, AI governance, model risk management, and regulatory considerations.
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Platforms such as Microsoft Azure AI, OpenAI, AWS Bedrock, Google Vertex AI, Databricks, Snowflake, Salesforce, or similar ecosystems.
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Strategic technology leadership.
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ServiceNow platform leadership.
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Business outcome orientation.
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Enterprise architecture mindset.
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AI solution strategy and execution.
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Vendor and partner governance.
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Commercial and contract awareness.
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Cross-functional team leadership.
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Transformation and change management.
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Risk-based decision-making.
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Innovation with operational discipline.
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Executive presence and stakeholder influence.
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Business value delivered through ServiceNow and AI initiatives.
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Successful implementation and scaling of AI-enabled workflow solutions.
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Adoption, usability, and value realization from ServiceNow capabilities.
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Vendor performance, cost optimization, and governance maturity.
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Architecture quality, platform health, security, scalability, and compliance.
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Stakeholder satisfaction and adoption across business and technology teams.
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Delivery predictability, quality, and speed.
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Responsible AI and risk governance effectiveness.
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Reduction in platform complexity, technical debt, and fragmented tooling.
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Capability uplift across internal teams and partner ecosystem.
The ideal candidate is a senior engineering and technology leader who has successfully moved from deep technical roles into enterprise platform and transformation leadership. They understand how to use ServiceNow as a strategic workflow platform, not just a ticketing or ITSM tool.
They are comfortable engaging with C-suite and business leaders, while also being able to challenge solution architecture, guide ServiceNow and AI engineering teams, assess vendor capabilities, and drive delivery execution.
They bring a balanced mix of ServiceNow platform depth, AI technology understanding, business acumen, delivery leadership, vendor governance, and transformation experience. They are pragmatic, outcome-focused, and able to convert AI ambition into production-grade workflow solutions that create measurable enterprise value.
