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Tier-1 employer, metro location, and broad mid-senior analytics role increase candidate competition.
Forecasting and analytics skills are transferable, but pharma context and Aera platform knowledge increase background sensitivity.
Explicit 7+ years requirement plus domain-specific tools and leadership make screening highly strict.
Lead and manage a team of data scientists focused on analytics development, demand forecasting, and advanced analytics capabilities at BMS Hyderabad site.
Oversee agile work processes, manage sprint planning, prioritize tasks, ensure SLA adherence, and technically contribute to analytics solution development, deployment, and scalability.
Collaborate with global PDS analytics teams, BMS IT, and stakeholders to ensure data availability, drive automation, implement process transformation, and deliver AI/ML innovations.
Bachelor's or Master's degree in analytical, engineering, operations research, or scientific discipline.
7+ years of experience in data and analytics roles; specific experience scales with education level (7+ years for Bachelor’s, 6+ for Master’s, 5+ for PhD).
Experience with demand forecasting or supply chain analytics is a significant plus but not mandatory.
Proficient with Python, advanced SQL, data visualization tools (Power BI, Tableau), cloud platforms (AWS), ELT pipelines; experience with Aera platform development and integration noted as expertise.
Experienced leader capable of building and managing high-performing technical teams in agile, cross-functional environments.
Strong combination of business transformation and operational execution skills, focused on delivering scalable data/AI/ML solutions.
Comfortable collaborating across global teams and stakeholders, including working hours overlapping with US East Coast time zone for effective coordination.