Enterprise Sales Director – Data & AI

Location: Remote/Hybrid

Duration: Full Time permanent

Immediate Joiners!

Role Overview

The Enterprise Sales Director for Data & AI will spearhead commercial growth across enterprise accounts by closing new logos and aggressively scaling existing relationships through strategic account farming. This role carries direct quota and regional P&L; responsibility, requiring a senior commercial leader who can navigate complex technical sales cycles centered on up-to-date data architectures, generative AI platforms, and enterprise cloud migrations.

The ideal candidate blends deep commercial acumen with fluent domain expertise across Databricks and the Microsoft Data & AI ecosystem (Azure Synapse, Fabric, Azure OpenAI).

Key Responsibilities

- Revenue & P&L; Ownership: Own and deliver the regional annual revenue target ($10M–$20M+ ARR/TCV), maintaining healthy gross margins and managing the cost-of-sale budget.
- New Business Acquisition (Hunting): Identify, pursue, and close greenfield enterprise deals across Fortune 500 / Global 2000 targets, engaging C-level executives (CDO, CIO, CTO, CFO).
- Strategic Account Farming: Expand wallet share within existing enterprise accounts through cross-selling, platform upsells, and managed services extensions.
- Partner & Ecosystem Co-Selling: Drive joint go-to-market execution with Databricks and Microsoft field sales teams, maximizing co-sell pipeline, incentives,



and cloud consumption credits.
- Solution Leadership: Translate complex business challenges into high-impact solutions leveraging the Databricks Lakehouse platform, Microsoft Fabric, and modern ML/GenAI toolsets.
- Forecasting & Pipeline Rigor: Maintain disciplined pipeline hygiene via CRM, managing deal stages from qualification through legal redlines and executive negotiation.

Requirement

- Sales Track Record: 10+ years of quota-carrying enterprise tech sales experience (SaaS, cloud solutions, or data consulting) with consistent annual over-achievement.
- Domain Expertise: In-depth commercial understanding of the modern data stack: Lakehouse architecture, ETL/ELT pipelines, data governance, and generative AI enablement.
- Ecosystem Depth: Proven co-selling experience with Databricks (Unified Data Analytics, Delta Lake) and Microsoft (Azure Data Platform, Fabric, Azure OpenAI).
- Deal Complexity: Demonstrated history closing multi-year, multi-million-dollar ($2M–$10M+) contracts with complex technical and legal stakeholders.
- Commercial Acumen: Hands-on ownership of P&L; levers, pricing structures, consumption-based revenue models, and statement-of-work (SOW) economics.
- Education: Bachelor’s degree in Business, Computer Science, Engineering, or equivalent practical experience; MBA or technical certifications preferred.

📌 Enterprise Sales Director – Data & AI (Kozhikode)
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