Career Category

Research

Job Description

What you will do

Let’s do this! Let’s change the world. Data is the new gold. Digitalization is generating large quantities of data and, when used with intelligent automation, is transforming how decision-making and analytics are delivered across Research & Development.

DDS is seeking a Senior Manager Data Sciences who will actively lead and collaborate with business leaders to design, implement, and scale sophisticated analytical models and digital solutions that drive measurable R&D impact.

This role will also serve as a people and delivery leader for an India-based data science team, accountable for building, developing, and scaling advanced data science capabilities within Amgen India. This role will ensure seamless integration of offshore analytics delivery with onshore R&D priorities, maintaining high standards for quality, velocity, and business impact. This role will report to US Director Data Sciences.

Primary Responsibilities:

Analytics & Digital Leadership

• 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

Global Delivery & India Team Leadership

• 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

Stakeholder & Matrix Leadership

• 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

People, Culture & Professional Development

• 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

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a leader with these qualifications.

Basic Qualifications

• Any degree and 12 -17 years of experience in statistics, data science, operations research, mathematics, econometrics, business administration, or a related quantitative field

Preferred Qualifications

• 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

Thrive

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

• 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

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