Techno Functional Data & Analytics Lead

Job Description – Techno Functional Data & Analytics Lead (Associate Director / Director Level) 

Position: Leader – Techno Functional Data & Analytics SME (AD/D Level) 
Domain: Life Sciences / Pharmaceutical Industry 
Experience: 12+ Years 
Location: Open / Hybrid 

Role Overview 

We are seeking an experienced and highly motivated Techno-Functional Data & Analytics Leader to drive enterprise-wide data, analytics, and AI/ML initiatives within the Life Sciences industry. The ideal candidate will possess deep expertise in pharmaceutical data ecosystems, business intelligence, advanced analytics, and cloud-based data platforms, with strong exposure to Commercial and/or R&D business functions. 

This role will act as a strategic bridge between business stakeholders and technology teams, enabling data-driven decision-making, digital transformation, and innovation across the organization. 

Key Responsibilities 

Data & Analytics Leadership 

• Lead the design and implementation of enterprise data and analytics strategies aligned with Life Sciences business objectives.  
  

• Drive data modernization initiatives, including cloud-based data platforms, data lakes, and advanced analytics solutions.  
  

• Partner with business leaders to identify opportunities for leveraging data, AI, and machine learning to improve business outcomes.  
  

• Define and govern data standards, quality frameworks, and data management best practices.  
  

Life Sciences Domain Expertise 

• Provide techno-functional leadership across Commercial and/or R&D functions within the pharmaceutical domain.  
  

• Work extensively with pharmaceutical industry datasets, including:  
  

• Syndicated market data (IQVIA, Symphony Health, etc.)  
  

• Sales and prescription data  
  

• Patient and claims data  
  

• CRM and customer engagement data  
  

• Clinical trial and R&D data  
  

• Master and reference data  
  

• Translate complex business requirements into scalable analytics and reporting solutions.  
  

Business Intelligence & Advanced Analytics 

• Lead the development of business intelligence, dashboarding, and self-service analytics solutions.  
  

• Enable insights generation through descriptive, diagnostic, predictive, and prescriptive analytics.  
  

• Drive KPI definition, reporting standardization, and executive-level performance monitoring.  
  

• Collaborate with data scientists and business teams to operationalize advanced analytics use cases.  
  

Cloud & AI/ML Enablement 

• Architect and implement cloud-based analytics solutions using platforms such as AWS, Azure, or GCP.  
  

• Drive adoption of AI/ML technologies for forecasting, customer segmentation, next-best-action recommendations, commercial effectiveness, and clinical analytics.  
  

• Oversee the deployment and governance of machine learning models in production environments.  
  

• Evaluate emerging technologies and recommend innovative solutions for business growth.