Req: SLSQ427R362
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.
Skills Required
- At least 15 years of experience in digital/AI transformation in enterprises
- At least 5 years of experience working directly with enterprise C-suite to lead and execute transformations
- Deep, practical experience in AI transformations in at least one industry (Healthcare/Life Sciences, Financial Institutions, Public Sector, Manufacturing, Retail, Consumer Goods, Technology, Media, Telecom)
- Experience developing and implementing operating models to support transformations
- Extensive experience working with partners (e.g., SIs, MBB/B4 consulting partners) to implement transformations
- Sufficient technical expertise to inform transformation objectives and timelines and establish credibility with technical teams
- Proven ability to build deep C-suite/SVP+ relationships and co-create AI Transformation Roadmaps
- Experience creating/leading external advisory groups or councils of C-suite AI transformation leaders
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
-
Equity Value & Accessibility — Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
-
Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
-
Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
