Solution Architect - AI & Data

Solution Architect - AI & Data, Expert Services

• AI Strategy & Transformation Advisory
  - Lead enterprise AI transformation engagements
  - Advise C-suite and senior stakeholders on AI strategy, prioritization frameworks, and transformation roadmaps
  - Facilitate discovery workshops, current-state assessments, and future-state visioning sessions
  - Define AI-enabled target operating models

• Solution Architecture & Delivery Leadership
  - Design end-to-end solution architectures
  - Lead scoping and solutioning for complex, multi-workload AI engagements
  - Provide hands-on architecture leadership during pilot and early-phase delivery
  - Develop reusable practice IP

• Data Architecture & Catalog Strategy
  - Lead architectural design of enterprise data catalog programs
  - Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks
  - Translate complex data architecture requirements into clear, actionable designs

• AI Governance, Risk & Responsible AI
  - Define and embed AI governance frameworks
  - Support customers in operationalizing responsible AI practices
  - Guide customers in regulated industries on aligning data catalog and governance architectures to compliance and regulatory obligations

• Adoption, Enablement & Change Management
  - Lead AI adoption strategies
  - Define adoption KPIs and value realization metrics
  - Monitor adoption, usage, and value realization metrics post-deployment

• Practice Development & Thought Leadership
  - Collaborate cross-functionally with Sales, Solution Consulting, Customer Success, Platform, and Product teams
  - Build and maintain industry-specific AI advisory playbooks and frameworks

Qualifications

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving

• 10+ years of experience in management consulting, enterprise architecture, or a senior technology advisory role, with a demonstrated focus on Artificial Intelligence, Machine Learning, or digital transformation at enterprise scale

• Proven track record designing and managing complex, multi-stakeholder AI or digital-transformation engagements

• Strong understanding of enterprise data architecture, data quality, knowledge management, integrations, and compliance and regulatory frameworks

• Demonstrated ability to architect enterprise data catalog and metadata management strategies, with knowledge of platforms

• Excellent communication and interpersonal skills — ability to articulate technical and business value to C-level executives, align stakeholders, and influence strategic decision-making

• Experience working in fast-paced, dynamic environments with capability to manage ambiguity and tailor consulting deliverables to different customer maturity levels

• AI domain knowledge required, including: Generative AI Skills, AI Agents and Agentic workflows, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agent-to-Agent (A2A), and Model Context Protocol (MCP)

• Broad familiarity with the ServiceNow platform and modules (ITSM, CSM, FSM, HRSD, App Engine), ideally including implementation or architecture experience

• ServiceNow certifications (Certified System Administrator, Certified Implementation Specialist, Certified Technical Architect) are desirable

• AI/ML certifications (e.g. AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent) are desirable

• Background in one or more target industries — Financial Services, Healthcare, Public Sector, Manufacturing, or Retail — is highly desirable