Staff Deployment Strategist, Technical Advisory & Solutioning

Alation is pioneering the next era of data intelligence — powered by AI agents and trusted data. Organizations around the world rely on Alation to drive self-service analytics, cloud transformation, data governance, and AI innovation. Our technology helps enterprises connect people and data to make faster, smarter, and more confident decisions. With more than $340M in funding – valued at over $1.7 billion and more than 650 customers, including 40% of the Fortune 100. As data becomes the foundation of every business, Alation is leading the way in helping organizations unlock their full potential. By bringing intelligence, automation, and trust to every interaction, we empower customers to scale data-driven innovation with confidence and speed. Joining Alation means being part of a winning team shaping the future of AI-powered data intelligence. We move fast, think big, and deliver results together. Job Description: Job Description: This role brings deep expertise in the data space—spanning data governance, data catalog, and AI concepts—along with strong command of the broader data ecosystem. That technical depth is paired with solid industry acumen across our target verticals, including Financial Services, Healthcare, Manufacturing, and Hospitality and Travel. The Deployment Strategist drives high-impact deployments at the intersection of data intelligence, AI, and governa [... source excerpt omitted ...] h business and technical stakeholders alike. What You’ll Do Partner with account teams throughout the sales cycle as the key technical advisor and product advocate Understand a customer's AI/data architecture and pinpoint where Alation fits and adds value Lead discovery sessions that surface business and governance challenges Own the technical scope of proof-of-value (POV) engagements, pilots, and adoption workshops, driving each to a clear outcome Deliver compelling product demonstrations—both full-platform walkthroughs and focused deep dives—tailored to enterprise stakeholders Translate AI and platform architecture concepts into terms enterprise stakeholders can act on [... source excerpt omitted ...] account teams to surface expansion opportunities that emerge from your work What You Bring Experience: 6–8 years in technical delivery, solutions consulting, or forward-deployed customer-facing roles at data/AI platform companies Technical Credibility: Strong understanding of AI technologies, architecture, and the broader ecosystem (LLMs, agent patterns, data platforms). Hands-on development experience isn't required, but you need to be seen as a credible technologist by technical stakeholders Platform Familiarity: Working knowledge of common enterprise data and cloud platforms—Snowflake, Databricks, AWS, GCP, Azure—sufficient to discuss integration points and architecture cr