Associate Data Management

ms, 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** and **2****-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

.