NLB Services
Sales Architect / Technical Sales – Pharma & Advanced Analytics / Generative AI
Location:
Raritan, New Jersey Hire type:
Full time / Permanent
Role Overview We are seeking an accomplished Sales Architect / Technical Sales professional with deep technical expertise in Advanced Analytics, AI/ML, and Generative AI, paired with authoritative domain knowledge in Pharmaceuticals and Life Sciences.
This is a client‑facing, technically oriented growth role—not a traditional quota‑carrying sales position.
The incumbent will act as a trusted advisor to pharmaceutical executives, leading complex solution design, shaping multi‑million‑dollar opportunities, and driving strategic revenue expansion through technical credibility and consultative engagement.
Key Responsibilities
Build and expand long‑term strategic relationships with C‑suite and senior leaders at top pharmaceutical and life sciences organizations.
Lead solution architecture and technical presales discussions centered on AI/ML, Generative AI, and advanced analytics use cases specific to drug discovery, clinical development, regulatory submissions, real‑world evidence, pharmacovigilance, and commercial analytics.
Partner closely with delivery, engineering, and innovation teams to develop differentiated, high‑impact proposals and reference architectures.
Generate and accelerate sales pipeline through thought leadership, executive workshops, industry events, and proactive opportunity identification.
Articulate complex technical capabilities in clear business language, demonstrating measurable value and ROI for pharmaceutical stakeholders.
Remain at the forefront of emerging trends in Generative AI, synthetic data, digital twins, regulatory technology, and patient‑centric innovation.
Required Qualifications & Experience
12–18 years of progressive experience combining deep Pharmaceutical/Life Sciences domain expertise with strong technology solutioning.
Proven success in technical presales, solution architecture, client partnership, or equivalent strategic roles within top‑tier consulting or system integration environments.
Comprehensive understanding of the pharmaceutical value chain: Research & Development, Clinical Operations, Regulatory Affairs, Safety/Pharmacovigilance, and Commercial functions.
Hands‑on experience designing and positioning AI/ML and Generative AI solutions using leading platforms and cloud ecosystems (Azure, Google Cloud Vertex AI, AWS SageMaker, etc.).
Demonstrated consultative selling acumen and ability to influence executive decision‑makers.
Exceptional communication, narrative‑building, and executive presentation skills.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Life Sciences, Pharmacology, or related disciplines.
Relevant certifications in Azure, AWS, Google Cloud, or AI/ML frameworks (e.g., Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer).
Direct experience with Generative AI platforms and tools such as OpenAI GPT series, Anthropic Claude, Google Gemini, Vertex AI Generative Suite, Azure OpenAI Service, or similar.
Seniority level:
Director Employment type:
Full‑time Job function:
Information Technology Industries:
IT Services and IT Consulting and Pharmaceutical Manufacturing
#J-18808-Ljbffr
Raritan, New Jersey Hire type:
Full time / Permanent
Role Overview We are seeking an accomplished Sales Architect / Technical Sales professional with deep technical expertise in Advanced Analytics, AI/ML, and Generative AI, paired with authoritative domain knowledge in Pharmaceuticals and Life Sciences.
This is a client‑facing, technically oriented growth role—not a traditional quota‑carrying sales position.
The incumbent will act as a trusted advisor to pharmaceutical executives, leading complex solution design, shaping multi‑million‑dollar opportunities, and driving strategic revenue expansion through technical credibility and consultative engagement.
Key Responsibilities
Build and expand long‑term strategic relationships with C‑suite and senior leaders at top pharmaceutical and life sciences organizations.
Lead solution architecture and technical presales discussions centered on AI/ML, Generative AI, and advanced analytics use cases specific to drug discovery, clinical development, regulatory submissions, real‑world evidence, pharmacovigilance, and commercial analytics.
Partner closely with delivery, engineering, and innovation teams to develop differentiated, high‑impact proposals and reference architectures.
Generate and accelerate sales pipeline through thought leadership, executive workshops, industry events, and proactive opportunity identification.
Articulate complex technical capabilities in clear business language, demonstrating measurable value and ROI for pharmaceutical stakeholders.
Remain at the forefront of emerging trends in Generative AI, synthetic data, digital twins, regulatory technology, and patient‑centric innovation.
Required Qualifications & Experience
12–18 years of progressive experience combining deep Pharmaceutical/Life Sciences domain expertise with strong technology solutioning.
Proven success in technical presales, solution architecture, client partnership, or equivalent strategic roles within top‑tier consulting or system integration environments.
Comprehensive understanding of the pharmaceutical value chain: Research & Development, Clinical Operations, Regulatory Affairs, Safety/Pharmacovigilance, and Commercial functions.
Hands‑on experience designing and positioning AI/ML and Generative AI solutions using leading platforms and cloud ecosystems (Azure, Google Cloud Vertex AI, AWS SageMaker, etc.).
Demonstrated consultative selling acumen and ability to influence executive decision‑makers.
Exceptional communication, narrative‑building, and executive presentation skills.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Life Sciences, Pharmacology, or related disciplines.
Relevant certifications in Azure, AWS, Google Cloud, or AI/ML frameworks (e.g., Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer).
Direct experience with Generative AI platforms and tools such as OpenAI GPT series, Anthropic Claude, Google Gemini, Vertex AI Generative Suite, Azure OpenAI Service, or similar.
Seniority level:
Director Employment type:
Full‑time Job function:
Information Technology Industries:
IT Services and IT Consulting and Pharmaceutical Manufacturing
#J-18808-Ljbffr