Sr Associate Data Management

Job Description

About Amgen

Amgen harnesses the best of biology and technology to combat the world's toughest diseases and improve lives. For over 40 years, we've led the biotechnology industry, using human genetic data and advanced technologies to discover, develop, manufacture, and deliver life-changing medicines for millions of patients worldwide.

About the Role

As a Senior Associate, Data Management within Amgen's Marketing Data Hub (MDH), you will play an important role in enabling data-driven decision-making for our Commercial organization. You will contribute to the execution of data-enabling features, support data platform operations, and ensure seamless collaboration across global and cross-functional teams. Your work will help develop and sustain connected data products that generate actionable insights into prescriber and patient behavior.

Key Responsibilities

1. Execute Data-Enabling Features within Product Teams

• Support the execution and deployment of features within Commercial Data Platform Product teams, following established governance processes and SOPs
• Participate in all stages of the SDLC — including requirements gathering, design, testing, documentation, and deployment — in partnership with Technology and business stakeholders
• Collaborate with global teams to review business requests, assist in designing solutions, and estimate effort for backlog items
• Ensure adherence to governance and testing standards, including User Acceptance Testing (UAT) and documentation traceability
• Work with a variety of marketing and commercial data sources (e.g., marketing campaign data, HCP/Patient activity, IQVIA data, CRM systems)
• Contribute to the development of connected data products that support insights into prescriber and patient engagement and targeting strategies
• Support platform monitoring activities by identifying anomalies, documenting issues, and assisting in remediation efforts
• Partner with peers across Data Management pillars (MDM, Platforms, Patient Data, Governance) to ensure alignment on data strategies and delivery
• Identify opportunities to improve operational efficiency and recommend process enhancements

2. Support Work Transition and Insourcing

• Assist in the transition of operational data management work to the Amgen India Innovation Center, ensuring smooth knowledge transfer and minimal business disruption
• Contribute to the insourcing of Data Management Operations from external vendors through documentation, coordination, and process standardization
• Maintain and enhance knowledge repositories to enable consistent and efficient global operations

3. Collaborate Across Teams and Functions

• Work closely with Commercial Data Strategy, Data Management, and Technology teams to support execution of key initiatives
• Collaborate across time zones to ensure deliverables meet platform governance and enterprise standards
• Act as a bridge between AIIC and global teams, ensuring alignment on processes, priorities, and success measures

Basic Qualifications

• Any degree and 5–9 years of data management or pharmaceutical data experience
• Experience working in global, cross-time-zone teams
• Strong collaboration, communication, and stakeholder engagement skills
• Excellent written and spoken English

Functional Skills

Must-Have

• Experience contributing to high-performing data management or platform teams
• Understanding of Data Platform Operations within Agile Product environments
• Exposure to pharma marketing datasets (social, search, NPP, Google Analytics, HCP/Patient activity, campaign data); familiarity with SFMC or Datorama is a plus
• Foundational understanding of data architecture, modeling, and profiling
• Hands-on experience with AWS, Databricks, and scripting tools (SQL, Python, R)
• Strong analytical, problem-solving, and troubleshooting skills
• Ability to quickly grasp new data concepts and end-to-end commercial data flows
• Eagerness to learn emerging technologies and best practices in data management and analytics

Good-to-Have

• Familiarity with syndicated commercial datasets and use cases
• Experience working in multinational teams
• Understanding of data compliance, privacy, and regulatory considerations
• Awareness of Scaled Agile Framework (SAFe) methodologies

Soft Skills

• Excellent teamwork and collaboration skills
• Strong analytical thinking and attention to detail
• Adaptability and resilience in a fast-paced environment
• Effective verbal and written communication, with the ability to convey complex information clearly