This individual contributor role sits at the intersection of data and AI strategy, industry transformation, and executive relationship-building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks.

Key responsibilities include:

• Building and maintaining trusted-advisor relationships with C-level executives in large US-based and global accounts, especially in highly regulated industries.
• Cultivating a strong social and professional network across customer executives, boards, key industry bodies, and partners.
• Shaping 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.
• Leading C-level briefings, strategy sessions, and multi-day workshops that connect business outcomes, regulatory constraints, and operating model change to concrete Databricks-based roadmaps.
• Serving 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.
• Generalizing patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries, and sharing them through blogs, webinars, whitepapers, and conference keynotes.
• Orchestrating 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.
• Partnering 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.
• Providing 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.
• Mentoring 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.

Requirements include:

• 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 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, with familiarity with regulatory and compliance considerations affecting data and AI platforms.
• A background that blends hands-on technology and architecture work on data platforms and analytics, organizational and operating model change, executive consulting or advisory, and proven ability to operate as a highly credible peer to C-level executives.
• 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.

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