Life Sciences Data & AI Go-to-Market (GTM) Lead

Quick Facts

• Role: Life Sciences Data & AI Go-to-Market (GTM) Lead

Description

Lead the Life Sciences Data & AI go-to-market growth strategy for Pharmaceuticals, Biotechnology, MedTech, and Healthcare. You will shape and execute offerings, own the full sales lifecycle for strategic pursuits, and build executive relationships to drive revenue growth.

Responsibilities

• Define and execute Life Sciences Data & AI growth strategy across R&D, Clinical, Commercial, Supply Chain, Regulatory, and Quality

• Develop and position differentiated offerings using Data & AI, Generative AI, Agentic AI, Data Management, Cloud Modernization, and Advanced Analytics

• Own the sales lifecycle: pipeline generation, opportunity qualification, pursuit strategy, proposal development, executive presentations, and deal closure

• Lead strategic pursuits and support RFP/RFI responses, client workshops, and business case development

• Build trusted advisor relationships with executive stakeholders (e.g., Chief Data & Analytics Officers, Digital Transformation leaders, R&D IT leadership, Commercial Analytics executives)

• Collaborate with account teams, delivery leadership, and Centers of Excellence to align solutions, talent, and delivery capabilities

• Create industry points of view (whitepapers and executive content) and mentor client-facing teams on Life Sciences Data & AI trends, solutions, and positioning

Benefits

• Paid time off (12–25 days vacation depending on grade), company holidays, personal days, sick leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

• Retirement savings plans (401(k) in the U.S., RRSP in Canada)

• Life and disability insurance

• Employee assistance programs and other local benefits as eligible

Requirements

• 15+ years of experience in consulting, technology sales, business development, solution sales, or go-to-market leadership

• Significant Life Sciences industry experience (Pharmaceuticals, Biotechnology, MedTech, or Healthcare)

• Demonstrated success building pipeline and closing Data & AI, Analytics, Cloud, and AI transformation engagements valued at $1M+

• Understanding of Life Sciences business processes and regulatory frameworks including GxP, 21 CFR Part 11, and HIPAA/data compliance considerations

• Experience selling and positioning solutions across Data & Analytics, Cloud Data Platforms, Data Governance & Master Data Management, Artificial Intelligence & Machine Learning, Generative AI & Large Language Models, and MLOps/Data Modernization

• Strong consultative selling, executive relationship management, negotiation, and presentation skills

• Ability to work across sales, delivery, partner, and solution organizations in a matrixed consulting environment