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AI Transformation Leader

DatabricksUnited StatesPosted Aug 25, 2026Fresh
Management ConsultantExecutive
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2h ago
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Job descriptionReq 7803651002

With the most complete data & AI stack on the market, Databricks is well suited to be the strategic partner for our customers’ AI transformations. This will require a structured motion and credible representation to engage CEOs and their boards on their AI transformation strategy and to play a pivotal role in helping them realize scaled value from AI. This role will lead in expanding Databrick’s mindshare in the non-technical C-suite and overall share of wallet, leading to owning both the platform conversation and transformation mandate.

Objective of the role:

  • Position Databricks as a strategic AI transformation thought partner to the C-suite, in addition to our established status as a tech partner to their organizations
  • Establish trusted advisor status with LoB/functional leaders (e.g., CFO, CMO, etc.), advising on connecting LoB’s key outcomes and capabilities to specific technical use cases and solutions
  • Operationalize seamless execution of the identified transformation objectives with customer teams, partners, and Databricks
  • Lead the creation and activation of a select group of external AI Transformation leaders to serve as an Expert Advisory Council / C-suite user group

Responsibilities:

  • For a limited group of the highest priority customers:
    • Develop deep C-suite/SVP+ relationships at the customer & their main SIs and other strategic partners, execute on co-sell
    • Co-create the AI Transformation Roadmap
    • Ensure the successful translation of the roadmap from concept to deployment, and value realization by partnering with the FDE team and SIs
  • For the broader customer set:
    • Develop the engagement model with C-suite leaders, including programs/materials based on the above customer successes for wider enablement and repeatable execution
    • Develop co-sell motions with strategic SIs and MBB/B4 consulting partners
    • Develop scaled operating models with the FDE team and SIs to execute on transformations
    • Cultivate broad Databricks and personal credibility within the target industry segment or LoB function in Databrick’s status as a trusted thought partner in AI transformation / scaled adoption and develop Databrick’s C-suite transformation narrative
    • Develop and lead C-suite workshops to engage customer leadership on their AI transformations
  • For Databricks:
    • Identify, recruit, and engage recognized external C-suite leaders and visionaries in AI Transformation to form an Expert Advisory Council 
    • Lead the activities of the Council to provide strategic guidance and operational insights into leading-edge AI Transformation capabilities

Experience:

  • At least 15 years of experience in digital/AI transformation in enterprises, either as an operator or consultant, with demonstrated successes in creating, architecting, leading, and scaling large-scale transformation mandates
  • At least 5 years experience in working directly with enterprise C-suite to lead and execute against such transformations; built trusted relationships with these senior stakeholders
  • Deep, practical experience in the opportunities, challenges, and solutions for AI transformations in at least one of the following industries: Healthcare/Life Sciences, Financial Institutions, Public Sector, Manufacturing, Retail, Consumer Goods, Technology, Media, Telecom
  • Experience in developing and implementing operating models to support the transformations
  • Worked extensively with partners (e.g. SIs) to implement the transformations
  • Sufficient technical expertise to reliably and realistically inform the transformation objectives and timelines, and to establish credibility with technical leaders and teams

 

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for Databricks can typically expect an online application followed by an initial recruiter screen if the profile aligns with the role. The process may include multiple stages such as a hiring manager conversation, one or more technical or role-specific assessments, and panel interviews covering relevant skills, behavioral fit, and past experience. For technical roles like engineering or data positions, coding exercises or case studies are commonly part of the evaluation, while business or operations roles may involve presentations or scenario discussions. Communication is generally managed through the Greenhouse platform, with updates on status provided by recruiters, though response times vary. Candidates can generally expect to interact with multiple team members throughout, and preparation focused on the specific job description is typically advisable.

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AI Transformation Leader
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