Enterprise Sales Leader - AI, Data & Analytics

We are partnering with our client, CustomerInsights.AI, to hire an Enterprise Sales Leader – AI, Data & Analytics (Life Sciences | IT & Partnerships Focus)!

Position Overview

We are seeking a seasoned Enterprise Sales Leader to drive large-scale revenue growth, strategic account expansion, and executive engagement across data, analytics, and Agentic AI platforms. This role requires a strong “hunter” mindset with deep experience selling into CIO/CTO organizations, navigating enterprise architecture landscapes, and co-selling with hyperscalers and strategic technology partners. The ideal candidate will originate, shape, and close complex, multi-million-dollar deals while positioning solutions within the broader enterprise IT ecosystem.

Key Responsibilities

• Own and drive end-to-end enterprise sales cycles across strategic accounts, with a strong focus on IT, data, and digital transformation buyers
• Build and execute go-to-market strategies to acquire new logos and expand footprint within enterprise IT organizations
• Develop and manage large-scale pipeline opportunities, ensuring strong qualification, progression, and conversion
• Establish and maintain CIO, CTO, CDO, and Enterprise Architecture relationships, acting as a trusted advisor on data, AI, and platform strategy
• Position solutions in alignment with enterprise IT architecture, security, governance, and compliance frameworks
• Lead complex deal structuring, including multi-year SaaS, platform, and consulting-led engagements
• Drive co-sell motions with hyperscalers (AWS, Azure, GCP) and data platforms (Databricks, Snowflake)
• Build and expand strategic partnerships and alliances, identifying joint GTM opportunities and ecosystem-led growth
• Orchestrate cross-functional teams across sales, consulting, product, engineering, and partner organizations
• Lead account planning, forecasting, and CRM governance to ensure predictable revenue growth
• Identify whitespace opportunities and execute platform-led expansion strategies across enterprise accounts

Core Capabilities

• Enterprise IT Sales & Strategic Selling
• CIO / Enterprise Architecture Engagement
• Hyperscaler & Ecosystem Co-sell Execution
• Complex Deal Structuring & Negotiation
• Go-to-Market Strategy & Pipeline Development
• Revenue Ownership & Forecasting
• Cross-functional & Partner-led Orchestration
• Industry Expertise in Life Sciences

Required Experience

• 12–18+ years in enterprise technology sales or consulting-led platform sales
• Proven track record of selling into CIO/IT organizations and navigating enterprise architecture landscapes
• Demonstrated success in closing large, complex deals ($10M+) and building sustainable pipelines
• Experience selling AI, Data & Analytics, Cloud, or SaaS platforms
• Strong experience working with hyperscalers and data ecosystem partners (AWS, Azure, GCP, Databricks, Snowflake)
• Proven ability to drive co-sell and partner-led revenue motions
• Experience in Life Sciences industry strongly preferred

Preferred Qualifications

• Experience with enterprise license agreements (ELAs) and multi-year platform deals
• Familiarity with modern data stack, AI/ML platforms, and cloud-native architectures
• Exposure to consulting-led sales and digital transformation programs
• Experience building or scaling technology partnerships and alliances
• MBA or equivalent business education

Success Metrics

• Revenue growth, quota attainment, and deal size expansion
• Pipeline generation, quality, and conversion rates
• New logo acquisition within IT-led buying centers
• Partner-influenced and partner-sourced revenue contribution
• Depth of executive relationships across IT and business stakeholders
• Contribution to ecosystem-led GTM and strategic initiatives

Ideal Candidate Profile

• A high-impact, results-driven enterprise sales leader with a strong “hunter” mindset and deep expertise in selling into IT organizations and leveraging partner ecosystems. The ideal candidate thrives in complex environments, can align with enterprise architecture priorities, and effectively positions AI and data platforms as strategic transformation enablers.