Director-Sales

Role Overview

We are urgently seeking a high-impact Sales Architect / Technical Sales with a strong technical foundation in Advanced Analytics, AI/ML, and Generative AI, combined with deep domain expertise in Pharmaceuticals and Life Sciences. This is a Sales Architect / Technical Sales role focused on driving strategic growth, solutioning, and client engagement—not traditional sales. The ideal candidate will come from top-tier firms, and will bring a consultative mindset, technical credibility, and a proven ability to build trusted relationships with pharma clients.

Key Responsibilities

• Own and grow strategic client relationships within the pharmaceutical and life sciences sector.
• Lead solutioning conversations around AI/ML, GenAI, and advanced analytics platforms tailored to pharma use cases (e.g., drug discovery, clinical trials, commercial analytics).
• Collaborate with delivery, product, and innovation teams to craft compelling proposals and architectures.
• Drive pipeline generation through thought leadership, client workshops, and executive-level engagement.
• Translate complex technical capabilities into business value for pharma stakeholders.
• Stay ahead of emerging trends in GenAI, real-world evidence, digital therapeutics, and regulatory tech.

Ideal Candidate Profile

• 12+ years of experience in Pharma/Life Sciences with a strong technology focus.
• Proven track record in technical sales, solution architecture, or client partner roles.
• Deep understanding of pharma value chain: R&D, clinical, regulatory, and commercial.
• Hands-on experience with AI/ML platforms, GenAI tools, and cloud ecosystems (Azure, GCP, AWS).
• Strong consultative selling skills with ability to influence C-suite stakeholders.
• Background in top-tier tech or consulting firms (Microsoft, GCP, Accenture, Avanade, etc.).
• Excellent communication, storytelling, and executive presence.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Life Sciences, or related field.
• Certifications in cloud platforms (Azure, GCP, AWS) or AI/ML frameworks.
• Experience with platforms like OpenAI, Vertex AI, Azure ML, or similar.