The Solution Architect will lead client Analytics efforts, providing support for Datasphere and SAC. Requires 3-5 years of experience.
This is a remote position.
The Solution Architect will provide ongoing Client Analytics, Datasphere. and SAC support.
The person in this role will work as a lead Datasphere/SAC resource to help support client's Analytics efforts.
Requirements
- 3-5 years hands on Datasphere and SAC support as a functional/technical lead
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead enterprise AI transformation and architecture engagements, advising C-suite on AI strategy, designing end-to-end AI and data architectures (RAG, knowledge graphs, data catalogs), defining governance and responsible AI frameworks, and driving adoption, enablement, and practice development across ServiceNow implementations.
Top Skills:
Agent-To-Agent (A2A)Agentic WorkflowsAi AgentsAi Control TowerApp EngineCsmFsmGenerative Ai Skill KitHrsdItsmKnowledge GraphsModel Context Protocol (Mcp)Now AssistRdfRetrieval-Augmented Generation (Rag)ServicenowSparql
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead enterprise AI transformation engagements: advise C-suite, define AI strategy and target operating models, design end-to-end architectures (ServiceNow AI stack, RAG, knowledge graphs), define data catalog and metadata strategies, embed AI governance and responsible AI, drive adoption and change management, and develop repeatable practice IP and thought leadership.
Top Skills:
Agent-To-Agent (A2A)Agentic WorkflowsAi AgentsAi Control TowerApp EngineAws Machine LearningCsmFsmGenerative Ai SkillsGoogle Professional Machine Learning EngineerHrsdItsmKnowledge GraphsModel Context Protocol (Mcp)Now AssistRdfRetrieval-Augmented Generation (Rag)ServicenowSparql
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Senior strategic and technical lead advising enterprises on AI transformation. Drive AI strategy, solution architecture, data catalog and knowledge graph design, governance, adoption, and value realization across ServiceNow-based implementations and integrations.
Top Skills:
Agent-To-Agent (A2A)Agentic WorkflowsAi AgentsAi Control TowerApp EngineAws Machine Learning SpecialtyBi PlatformsCsmData Catalog PlatformsData WarehousesFsmGenerative Ai Skill KitGenerative Ai SkillsGoogle Professional Machine Learning EngineerHrsdItsmKnowledge GraphsMetadata ManagementModel Context Protocol (Mcp)Now AssistRdfRetrieval-Augmented Generation (Rag)ServicenowSparql
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

