RDSO Sr. Mgr Data Sciences

• Design and develop analyses (e.g., descriptive, diagnostic, predictive, prescriptive) to enable concrete insights and inform timely decision-making
• Strategize with partners across the organization to build scalable, production-grade AI/ML products and apply consistent approaches to solving complex business problems
• Identify key business questions required to meet evolving needs
• prioritize resources to address critical business issues and decisions
• Design and build analytical frameworks, tune model parameters, and monitor model performance over time
• Lead and provide thought leadership across end-to-end development, deployment, and sustainment of digital and analytics solutions
• Partner with IS and data engineering teams to define data requirements, automate model retraining, and ensure robust deployment pipelines
• Ensure dashboards and downstream products are fed by reliable, high-quality analytical models aligned to business needs
• Apply agile delivery methods to ensure efficient, integrated, and scalable business and system processes
• Build, lead, and develop a high-performing India-based Data Sciences team, including hiring, onboarding, performance management, coaching, and career development
• Establish a strong culture of accountability, technical excellence, and continuous improvement aligned with Amgen values and DDS standards
• Own end-to-end delivery of analytics and data science projects executed in India, ensuring adherence to scope, timelines, quality standards, and business expectations
• Translate onshore business priorities into clear, executable workstreams for offshore teams
• Implement scalable operating models, governance, and delivery playbooks to support offshore analytics at scale
• Serve as a visible people leader for Amgen India analytics staff, driving engagement, inclusion, and long-term talent retention
• Act as a primary liaison between India-based teams and onshore R&D, Strategy, and IS partners, managing expectations across geographies
• Proactively manage India-based stakeholders, risks, dependencies, and resourcing needs
• Develop productive relationships with senior functional leaders to understand operational challenges and present innovative, sustainable digital solutions
• Maintain regular working-hour overlap with onshore leadership and global stakeholders to ensure alignment and effective collaboration across time zones
• Influence outcomes across a highly matrixed, global organization
• Motivate, coach, and serve as a role model for globally distributed teams, coordinating onshore and offshore resources to advance business priorities and professional growth
• Cultivate a collaborative environment where teams feel a strong sense of belonging, ownership, and intellectual curiosity
• Mentor high-performing data scientists and decision scientists within the organization
• Ensure all structured and ad hoc projects follow Amgen SOPs and meet service-level expectations for quality, timeliness, and budget

• Any degree and 12 -17 years of experience in statistics, data science, operations research, mathematics, econometrics, business administration, or a related quantitative field
• 12-17 years of experience delivering complex analytical projects using quantitative methods, multivariate statistics, predictive modeling, and advanced analytics techniques
• Demonstrated experience building, deploying, and optimizing machine learning models to drive business outcomes
• Experience leading offshore or globally distributed analytics teams, preferably within an India delivery model
• Strong ability to translate business requirements into analytical plans and influence decision-making through clear communication
• Hands-on experience with modern data platforms and cloud technologies (e.g., AWS, Snowflake, Spark, Databricks)
• Proficiency in Python, R, Scala, Java, SQL, and BI tools (e.g., Tableau, Spotfire)
• Demonstrated application of advanced analytics, AI/ML, NLP, and statistical modeling to complex business problems
• Strong written, verbal, and presentation skills with senior leadership audiences
• Experience operating effectively in a matrixed, global environment
• Familiarity with DevOps, Agile methodologies, and modern software development practices

Bio/Pharmaceutical industry experience preferred

• Full support and career-development resources to expand your skills and maximize your potential
• A diverse and inclusive community of belonging, where teammates are empowered to contribute and lead
• Competitive total rewards package supporting health, wealth, work/life balance, and career growth