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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, popular data engineer title, metro locations, and broad AI/ML-salesops requirements increase applicant competition.
Requires life sciences commercial operations experience, so candidates from other industries face low transferability.
Explicit 6-10 years plus niche life sciences salesops and AI/ML experience makes filters stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Deliver high-quality AI/ML and analytics solutions related to territory planning, roster management, sales force effectiveness, and commercial operations in life sciences.
Lead design and implementation of AI/ML models for territory design, targeting, call planning, sales forecasting, incentive compensation, and quota setting.
Mentor junior team members and collaborate with consultants, data scientists, and engineers to ensure effective project delivery and continuous improvement.
Minimum Requirements
6-10 years experience in life sciences commercial operations with hands-on expertise in territory planning, roster management, and/or sales force effectiveness.
Strong understanding of AI/ML techniques applicable to commercial operations and experience executing AI/ML model design and implementation.
Degree in BE/B.Tech/M.C.A./M.Sc (CS) or equivalent from accredited university.
Location requirement: Based in Bengaluru, Hyderabad, Pune, Chennai, or Kolkata.
Ideal Candidate Profile
Experienced in life sciences domain particularly in commercial operations involving data-driven territory design and sales operations solutions.
Capable of leading and collaborating within cross-functional teams including data scientists and engineers for AI/ML solution delivery.
Skilled communicator able to translate technical AI/ML concepts to diverse audiences and mentor junior team members.