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Field CTO - America Industries

Senior technical leader advising C-level executives in regulated industries on data/AI strategy and Lakehouse modernization. Drives multi-year transformations, builds executive networks, and influences Databricks product roadmap with 15+ years experience.

250k – 343kUnited StatesExecutive LeadershipRemote15+ YOE

About the role

Impact you will have:

  • Build and maintain trusted-advisor relationships with C-level executives (CIO, CDO, CTO, CISO, business COs) in large US-based and global accounts, especially in highly regulated industries (financial services, public sector, healthcare, manufacturing).
  • Proactively cultivate a strong social and professional network across customer executives, boards, key industry bodies, and partners, knowing which organizations and forums to engage to open doors with the right stakeholders.
  • Shape executive thinking on modern data and AI architectures, with emphasis on Lakehouse and data platform modernization as the primary lever for long-term Gen AI impact.
  • Lead C-level briefings, strategy sessions, and multi-day workshops that connect business outcomes, regulatory constraints, and operating model change to concrete Databricks-based roadmaps.
  • Serve as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and being able to credibly engage architects, data engineers, and data scientists on solution design and trade-offs.
  • Generalize patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries, and share them through blogs, webinars, whitepapers, and conference keynotes.
  • Orchestrate the broader ecosystem (cloud providers, GSIs, consultancies, ISVs) around customer objectives, ensuring Databricks is at the center of multi-year transformation programs rather than isolated projects.
  • Partner with Account Executives, Solutions Architects, Industry Leads, and Product Specialists to drive complex, multi-year sales cycles, securing platform decisions and expansions while influencing ACV and consumption growth.
  • Provide structured, prioritized feedback from strategic customers into Product, Engineering, and Field leadership to influence product roadmap, especially around data, governance, security, and regulated-industry requirements.
  • Mentor senior Field Engineering and industry-focused talent, contributing to a pipeline of principal- and CTO-level leaders and codifying ways of working for complex, regulated accounts.

What we look for:

  • 15+ years of experience spanning enterprise technology and consulting, including leading or advising on multi-year data platform and analytics transformations in large, complex organizations.
  • Significant time spent inside a large enterprise software or cloud company (e.g., Microsoft or similar) in roles that required navigating matrixed organizations and driving change at scale, combined with direct industry exposure rather than a career spent solely in horizontal software.
  • Experience in or with regulated industries (financial services, healthcare, public sector, regulated manufacturing, utilities), with familiarity with regulatory and compliance considerations affecting data and AI platforms.
  • Background that blends:
    • Hands-on technology and architecture work on data platforms and analytics.
    • Organizational and operating model change (ways of working, skills, governance).
    • Executive consulting or advisory, ideally seeing transformations through from strategy to multi-year execution, not only strategy decks.
  • Proven ability to operate as a highly credible peer to C-level executives, driving business-outcome-focused conversations while also diving deep into technical details when needed.
  • Strong, proactive networker who is naturally curious about which associations, councils, and forums matter for a given customer set, and who uses those networks to create new executive entry points and opportunities.
  • Demonstrated longevity and impact in prior roles, with evidence of building and sustaining long-term customer relationships and programs rather than frequent short stints.

Skills

DatabricksLakehouseData PlatformsAi ArchitecturesCloud ComputingData GovernanceData EngineeringAnalyticsGen AiKubernetes

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