NVIDIA Industry Solutions Leader (HCLS, GTM)

Job description

ABOUT THE ROLE

In this role, you will shape, define, and drive NVIDIA-based innovative solutions, focusing on selected Life Science domains being transformed by Physical AI, including MedTech, manufacturing, laboratory automation, and medical imaging, or by Generative AI, including pharmaceutical and biotech R&D, drug discovery, clinical development, and genomics. You'll partner with customers, sales, architects, and technology leaders to define industry strategies, build business cases, and create innovative solutions that deliver measurable business and scientific outcomes.

This is a US-based role with an anticipated base salary range of $200,000-$250,000 annually.

RESPONSIBILITIES

- Define the business vision and go-to-market strategy for NVIDIA-powered solutions in Life Sciences

- Translate Life Sciences market trends into solution roadmaps spanning Generative AI, Agentic AI, Digital Twins, and Physical AI

- Develop business cases, ROI models, and executive presentations that demonstrate measurable scientific, operational, and financial value

- Partner with Enterprise Solution Architects and technical teams to align business priorities with scalable technical solutions

- Lead executive workshops, innovation sessions, and customer engagements to identify transformation opportunities and accelerate adoption

- Collaborate with NVIDIA, cloud providers, ISVs, and strategic partners to expand the Life Sciences solution ecosystem

- Gather competitive intelligence and customer feedback to evolve solution strategy and industry offerings continuously

REQUIREMENTS

- 10+ years of experience within Life Sciences, in one of the following domains: MedTech, manufacturing, laboratory automation, pharmaceuticals, biotechnology, consulting, or digital transformation

- Bachelor's degree in Life Sciences, Engineering, Computer Science, Bioinformatics, or a related discipline; an MBA, PhD, MD, or PharmD is preferred

- Strong knowledge of AI-driven use cases in the industry, such as medical imaging, smart manufacturing, drug discovery, medical imaging, etc.

- Experience building business strategies, solution roadmaps, go-to-market plans, and executive business cases for enterprise technology initiatives

- Good understanding of NVIDIA technologies such as Omniverse, Cosmos, NIM, NeMo, BioNeMo, or similar AI and accelerated computing platforms is a big plus

- Knowledge of regulated Life Sciences environments including GxP, FDA, EMA, HIPAA, 21 CFR Part 11, Computer System Validation (CSV/CSA), or AI model validation

- Experience partnering with executive stakeholders, solution architects, engineering teams, and strategic technology partners

- Excellent communication, executive presentation, stakeholder management, and relationship-building skills