Associate - Data Management Job in Hyderabad at Amgen

Amgen is hiring for the role of  Associate - Data Management!

Responsibilities of the Candidate:

• 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
• 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
• 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

Requirements:

• 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
• 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
• 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