Senior Manager - Decision Sciences

Senior Manager Decision Sciences

Responsibilities

1. Project Planning & Delivery

• Lead strategic planning and execution of projects within the Decision Sciences vertical.
  
• Define project objectives, deliverables, timelines, and resource requirements in collaboration with cross-functional teams.
  
• Manage scope, risks, dependencies, and implement mitigation strategies.
  
• Monitor progress, identify bottlenecks, and drive timely delivery of high-quality analytical solutions.
  

2. Analytical Products & Solution Development

• Drive the development and enhancement of analytical products for commercial and marketing analytics.
  
• Conduct market and industry research to identify new trends and opportunities.
  
• Collaborate with data scientists, developers, and domain experts to define product requirements.
  
• Guide the lifecycle from ideation and prototyping to testing, deployment, and ongoing improvements.
  
• Design, develop, and deploy complex and innovative analytical solutions.
  

3. Research & Development (R&D)

• Conduct continuous research on advanced statistical methodologies, analytics techniques, and pharma analytics trends.
  
• Evaluate new statistical models, AI/ML algorithms, and their feasibility.
  
• Collaborate with R&D teams to run experiments, analyse results, and propose advanced solutions.
  
• Translate research insights into actionable recommendations; contribute to thought leadership (publications, white papers, conferences).
  

Requirements

Qualifications

• Masters or Doctoral degree in Applied Statistics, Mathematics, Data Science, Computer Science, Operations Research, or related discipline.
  

Experience

• 5–12 years of experience in Decision Sciences / Commercial Analytics in the pharmaceutical industry.
  
• Proven experience managing and delivering complex pharma analytics projects.
  
• Strong expertise in commercial analytics including:
  
• Marketing Mix Modeling (MMM) & Investment Optimization
  
• Campaign Analytics
  
• HCP / Account Segmentation
  
• Performance Analytics
  
• Preferred experience: Patient Analytics, Market Access, Sales Analytics.
  
• Experience leading and mentoring teams on complex analytical projects.
  

Technical Skills

• Advanced proficiency in Python, R, SAS, SQL.
  
• Strong understanding of AI/ML techniques and their applications in decision sciences.
  

Communication & Leadership

• Excellent communication, stakeholder management, and interpersonal skills.
  
• Strong leadership ability with experience guiding teams.
  

Competencies

• Communicating with influence
  
• Analytical & problem-solving ability
  
• Professional expertise development
  
• Strong interpersonal and collaboration skills
  
• Ability to surface issues early and drive resolution
  
• Learning mindset and adaptability
  
• Pursues opportunities to create value