Optimus Capital

Role Overview:The Head of AI will define and lead the organization's AI vision, strategy, and execution roadmap across all business functions - from investment analytics and market intelligence to portfolio company transformation and Pharma & Life Sciences Applications.This is a highly strategic and hands-on leadership role requiring a blend of technical depth, business insight, and domain knowledge in pharmaceuticals or healthcare.Key Responsibilities:1. Strategic Leadership:- Define the firm's AI vision, roadmap, and governance framework aligned with overall business and investment goals.- Build and lead a multidisciplinary AI Center of Excellence (CoE) integrating data science, ML engineering, and domain analytics.- Drive adoption of AI-driven decision-making across investment, operations, and portfolio management.- Stay ahead of emerging trends in GenAI, automation, and computational life sciences, and identify opportunities for integration.2. Investment Intelligence & Analytics:Develop AI/ML models for:- Market and sector intelligence (price trends, regulatory dynamics, supply chain analytics).- Deal sourcing, screening, and due diligence.- Portfolio performance forecasting and value creation tracking.- Partner with investment teams to embed AI in deal evaluation, scenario modeling, and risk assessment.3. Pharma & Life Sciences Applications:Oversee the design and deployment of AI solutions across Pharma API, R&D, and manufacturing value chains:- Process optimization and yield improvement.- Predictive quality, compliance, and safety analytics.- Supply chain and procurement intelligence.- R&D data mining, molecule clustering, and formulation analytics.- Collaborate with portfolio companies to implement AI tools for digital transformation and operational excellence.4. Infrastructure & Technology Leadership:- Build robust data infrastructure and AI platforms for scalable analytics across the firm and its portfolio.- Establish data pipelines, APIs, and cloud environments for model training and deployment.- Implement strong data governance, compliance, and ethical AI standards.5. Team Building & Stakeholder Engagement:- Build and manage a high-performing team of data scientists, AI engineers, and domain experts.- Partner with CIOs, CTOs, and CEOs of portfolio companies to guide AI adoption.- Represent the firm in AI and pharma innovation forums, partnerships, and collaborations. (ref:iimjobs.com)