Data Management Manager

About the role

Data Management Manager at Amgen will lead execution of Data Platforms Operations, partnering with Technology teams to drive innovation, operational excellence, and cost efficiencies. The role oversees feature prioritization, SDLC stages, and deployment across Commercial Data Platforms Product teams, ensuring governance, UAT, and documentation. Responsibilities include managing syndicated data sets (IQVIA DDD, Xponent, ELAAD), digital marketing data, HR data, CRM call activity, and Patient Hub data to build connected data products for prescriber and patient insights. The manager will maintain the Big Data platform built on AWS, Airflow, and Databricks, overseeing access, costs, and data quality. They will evaluate and implement tools for anomaly detection, automated document generation, bots, searchability, LLM models, and Gen AI capabilities. Cross-functional collaboration spans Master Data Management, Data Platforms, Patient Data Management, and Data Acquisition & Governance pillars. The role also manages transition and insourcing of operational data services to the Amgen India Innovation Center, ensuring knowledge transfer and risk mitigation. Key skills include AWS, Databricks, SQL, Python, R, Agile product ownership, data architecture, and stakeholder management. Candidates should hold a Master’s degree with 4–6 years or a Bachelor’s with 8–10 years of data management experience, strong leadership, and excellent English communication.

What you’ll do

• Lead and oversee prioritization, execution and deployment of features in one of our Commercial Data Platforms Product teams aligned with standard operating procedures
• Lead various stages of SDLC as a member of the Data Management Operations teams – including requirements gathering sessions with stakeholders across the US Commercial Organization (including Incentive Compensation, Field Reporting, Forecasting, Secondary Analytics), design, testing and documentation in partnership with the Technology teams in a Product Team setting.
• Partner with peer teams in the US and technology teams to review requests, design solutions, estimate effort and prioritize requests in assigned Product backlog
• Communicate with stakeholders through various stages of the SDLC and ensure alignment with stakeholders, and management on effort, solution, timelines and expectations
• Accountable for ensuring governance processes are followed and appropriate system testing, User Accepting Testing (UAT) are done and documentation is set up to ensure traceability through the lifecycle of deployment
• Responsible for working with syndicated data sets including IQVIA data – DDD, Xponent, ELAAD, etc., Digital Marketing data sets including Patient and Physician level data sets and internal data sets like HR data, Call Activity data from CRM systems, Patient Hub data to set up and enable HCP & Patient centric connected data sets for our stakeholders
• Build connected data products for Amgen’s Commercial Data and Analytics function leveraging data sets mentioned above that enable insights around Prescriber & Patient behaviour & engagement patterns to support more efficient targeting algorithms
• Manage the Big Data platform infrastructure (Built on AWS tech / Airflow for Data storage and orchestration and Databricks for processing) – including access to the platform, platform costs, ad hoc capabilities for users, data quality, etc.
• Partner with the US teams and Technology teams to evaluate and implement tools and technologies to support the future state of the platform including Automated Anomaly detection, Automated document generation, Bots against data, Searchability of data assets, LLM models on data and documents and other Gen AI capabilities
• Partner with the Technology teams and direct line management to implement processes to monitor system health, set up alerts for anomalies and implement steps to proactively remediate areas of concern on the infrastructure front
• Partner with peers across our four pillars – Master Data Management, Data Platforms, Patient Data Management, Data Acquisition & Governance to ensure alignment on solutions implemented for stakeholders
• Identify and highlight roadblocks, process gaps, and resourcing needs to the Leadership team as part of continuous improvement efforts.
• Identify opportunities for continuous improvement and highlight to direct line management and strategize roadmap for deployment
• In partnership with the Senior Manager Data Platforms, develop and oversee transition plans to migrate work to our Amgen India Innovation Center with minimal disruption and develop standard processes for onboarding peers and broader team.
• Execute on the insourcing of our Operational Data Management Services currently delivered by external vendors, ensuring appropriate knowledge transfer, risk mitigation, and operational readiness.
• Build robust repository of knowledge transition documents and set up processes for efficient operations within a global team framework
• Partner closely with peers in Commercial Data Strategy core pillars and Data Management Senior Manager to contribute to delivering against our priority initiatives and establish new ways of working, especially across time zones.
• Work with our Technology/IT partners and the US team members in Product Team setting and partner with other Product teams to ensure deliverables are aligned with the Platform governance model
• Act as a liaison between at our Amgen India Innovation Center with other Customer Data & Analytics Teams to ensure alignment on goals, processes, and success measures.

What you’ll bring

• Master’s degree and 4 to 6 years of data management experience OR
• Bachelor’s degree and 8 to 10 years of relevant data management experience
• Proven experience in working in global teams and across time zones and cultures
• Proven experience in working in Product teams and delivering high quality solution in adherence with established processes
• Strong leadership, stakeholder management, and communication skills.
• Excellent English oral and written communication.

Nice to have

• Experience working in the life sciences commercial data domain space, ideally in the areas of Data Platforms and Patient Data.
• Understanding of the syndicated commercial data sets and use cases
• Worked in multinational settings with teams from different countries.
• Basic understanding of compliance and data privacy requirements.
• Familiarity with and application of Scaled Agile Framework (SAFe).

Skills

Education

Master's