Overview
In this role you drive value for Banking clients by shaping data and AI use cases and co-creating business plans with Databricks teams and partners. You lead executive-level engagements to accelerate adoption of the Databricks Data Intelligence Platform, guiding cross-functional efforts to close strategic opportunities. You will influence how large regulated organizations leverage big data and AI to transform operations, scale decisions, and achieve growth. This is a high-impact, client-facing role focused on measurable outcomes and collaborative execution.
Responsibilities
- Design and develop differentiated big data and AI use cases for Banking customers
- Co-develop a business plan with internal teams and ecosystem partners to drive adoption and growth
- Lead a cross-functional team to implement the plan and achieve usage/booking goals
- Guide customers and partners to quantify value of Databricks platform through pilots and deployments
- Support transformation goals via partnerships, services, training, and executive engagement
- Drive negotiations and ensure successful closure with value storytelling and ROI justification
Key requirements
- Experience selling enterprise software to large enterprises
- Executive-level relationship ownership in client organizations
- Track record of new business development and quota over-achievement
- Experience with large, regulated organizations
- Knowledge of Data & AI space and technology sales experience
- Proven success selling complex software and services to enterprises
- Experience with usage-based SaaS adoption and co-selling with AWS, Azure, and Google Cloud
- Familiarity with MEDDPICC, Challenger Sales, and related methodologies
- Ability to build partnerships with champions and align with territory plans
- Understanding of consumption-based, land-and-expand sales models
- Strategic thinking
- Stakeholder management
- Cross-functional collaboration
- Data & AI domain knowledge
- SaaS and consumption-based sales models
- Co-selling with major cloud providers (AWS, Azure, Google Cloud)
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