Career Category

General Management

Job Description

• Associate Data Management
• Job Description

Associate – Data Management, Marketing Data Hub (MDH)

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 an Associate, Data Management within Amgen’s Marketing Data Hub (MDH), you will be part of a global team that enables data-driven decision-making for Amgen’s Commercial organization. You will support the execution of data management activities, collaborate with cross-functional teams, and help maintain the data platforms that power insights into prescriber and patient engagement.

This is an excellent opportunity for early-career professionals passionate about data, analytics, and technology who want to build a strong foundation in commercial data management within the pharmaceutical industry.

Key Responsibilities

1.

Support Data-Enabling Features within Product Teams:

• Assist in the execution and deployment of data-related features within Commercial Data Platform Product teams in alignment with Amgen’s governance and standard operating procedures (SOPs)
• Participate in the Software Development Lifecycle (SDLC) by supporting requirements gathering, documentation, testing, and data validation
• Work with marketing and commercial datasets (e.g., marketing campaign data, HCP/Patient activity, IQVIA data, CRM systems) under guidance from senior team members
• Help maintain data pipelines, perform data quality checks, and support anomaly identification and resolution
• Collaborate with Technology teams to troubleshoot data issues and document findings for knowledge sharing
• Contribute to connected data products that enable marketing and analytics teams to derive meaningful insights

2.

Support Operational and Transition Activities:

• Assist in operational data management tasks related to the insourcing of work at the Amgen India Innovation Center.
• Help maintain documentation, trackers, and repositories to ensure smooth handovers and ongoing operational efficiency
• Support the setup and execution of standard processes to maintain data consistency and traceability

3.

Collaborate Across Teams:

• Work closely with global team members, including peers in the US, to ensure timely and high-quality delivery of assigned tasks
• Coordinate with cross-functional teams within the Data Management and Technology organization to support ongoing projects
• Contribute to team meetings, process discussions, and continuous improvement initiatives

Basic Qualifications

• Any degree and2–5 years of relevant data management in pharma industry
• Foundational understanding of data processes and data life cycle
• Good communication, teamwork, and problem-solving skills
• Strong written and spoken English

Functional Skills

Must-Have

• Exposure to pharma or commercial datasets, such as marketing, HCP/Patient activity, or CRM data
• Basic understanding of data management concepts (data quality, governance, metadata, lineage)
• Working knowledge of data analysis or scripting tools such as SQL,Python, or R
• Familiarity with cloud platforms (AWS, Databricks) or a strong willingness to learn
• Ability to follow structured processes and maintain documentation accurately
• Eagerness to learn about end-to-end commercial data flows and modern data management practices

Good-to-Have

• Experience working with analytics, marketing, or CRM systems (e.g., Salesforce, Datorama)
• Awareness of compliance, data privacy, and governance principles
• Exposure to Agile or Product Team environments

Soft Skills

• Strong attention to detail and a proactive attitude
• Willingness to learn and take initiative under guidance
• Effective communication and teamwork in cross-functional, global settings
• Adaptability and resilience in a fast-paced environment

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