Role Description & Responsibilities
Data Analytics
About Databricks
Databricks is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.
CadetX Candidate Advantage: As an applicant for this Data Analytics role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.
CadetX Role Brief & Company Specifications
Role Mission & Impact
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.
Key Responsibilities & Day-to-Day Scope
- ✓ 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
- ✓ 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
Official Qualifications & Technical Requirements
- • 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
- • 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
- • 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
Preferred Skills & Technology Stack
- + Experience working with cloud data warehouses (Snowflake, BigQuery, or Amazon Redshift).
- + Familiarity with Git version control and collaborative code review workflows.
- + Demonstrated portfolio or capstone projects exhibiting practical end-to-end analytics problem solving.
Tech Stack & Tools in this role
Expected technical competencies for Day 1 productivity:
★ Life & Culture at Databricks
Verified EmployerDatabricks champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.