Required Skills & Experience
- 18+ years in data management, AI/ML consulting, or digital transformation, with a minimum of 10 years focused on life sciences or healthcare.
- Bachelor's degree a must w/ master's or PhD in Data Science, Computer Science, Biostatistics, Epidemiology, Engineering, or related quantitative field.
- Proven success in owning and growing $50M+ P&L, with deep experience in consultative selling, client management, and strategic growth.
Job details:
- craft enterprise data & AI solutions tailored to brand strategy, GTM, RWE, and patient engagement. Lead consulting engagements to win new business opportunities in pharma and life sciences.
- Influence account strategy, pricing models, investment cases, and strategic alliances.
- Partner with senior stakeholders to define data and AI strategies aligned with business objectives.
- Develop compelling proposals and thought leadership content to differentiate offerings in the market.
- Serve as executive sponsor for complex client engagements—shaping solution vision, engagement design, and business impact realization.
- Advise VP/CXO-level stakeholders on data & AI platforms, AI/GenAI strategy, analytics modernization, and operating model transformation.
- Oversee solution delivery of large-scale data and AI programs ensuring scientific rigor, innovation velocity, and commercial impact.
- Drive adoption of cloud-native architectures, modern data platforms, and AI/Agentic AI solutions.
- Ensure compliance with industry standards, data governance, and security protocols.