Enterprise Sales Leader - AI, Data & Analytics

Job description

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.

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