Job Opportunity: Data Management Manager
Location: India – Hyderabad (On-site)
Job ID: R-223703
Date Posted: September 9, 2025
Category: Health Economics
Career Category: Sales and Marketing Ops
Position Type: Full-time
GCF Level: 05A
About Amgen
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, helping people live easier, fuller, and longer lives. With over 40 years of pioneering biotechnology innovation, Amgen continues to lead through advanced science, technology, and human genetic data to push the boundaries of what’s possible.
Role Overview
The Commercial Data Management Manager will lead the execution of Data Platform Operations in partnership with global Technology teams. This role involves managing feature execution within Product Teams, enabling innovative data solutions, supporting transition of vendor-led operations into Amgen India Innovation Center, and ensuring operational excellence.
You will partner closely with senior leaders, cross-functional teams, and global stakeholders (US & India) to implement scalable data solutions, build connected data products, and manage large-scale strategic programs.
Key Responsibilities
Execution of Data-Enabling Features
Lead prioritization, execution, and deployment of product team features aligned with SOPs.
Manage SDLC stages: requirements, design, testing, and documentation in partnership with Technology teams.
Collaborate with stakeholders across US Commercial functions (Incentive Compensation, Forecasting, Analytics, Field Reporting).
Ensure governance, system testing, UAT, and traceability throughout deployment lifecycle.
Work with syndicated data (IQVIA DDD, Xponent, ELAAD), digital marketing data, and internal CRM/HR/Patient Hub datasets to build HCP & Patient-centric connected datasets.
Develop connected data products enabling insights on prescriber & patient behavior to support targeting algorithms.
Oversee Big Data platform (AWS, Airflow, Databricks): access, costs, data quality, infrastructure monitoring.
Drive adoption of advanced tools/technologies: automated anomaly detection, AI/GenAI models, searchability, bots, and automated document generation.
Collaborate across data pillars (MDM, Data Platforms, Patient Data Management, Data Acquisition & Governance) for aligned solutions.
Identify process gaps, risks, and opportunities for continuous improvement.
Work Transition & Insourcing
Partner with Senior Manager, Data Platforms to execute vendor-to-internal team transition.
Develop standard processes for onboarding and knowledge management.
Ensure minimal disruption and operational readiness during transition.
Build robust documentation and knowledge repositories for efficient operations.
Cross-Team & Organizational Engagement
Work across time zones with US and India teams, driving alignment on goals and deliverables.
Act as liaison between Amgen India Innovation Center and Customer Data & Analytics Teams.
Ensure consistent communication, process alignment, and shared success measures.
Qualifications
Basic Qualifications
Master’s degree with 4–6 years of data management experience OR
Bachelor’s degree with 8–10 years of data management experience
Experience working in global teams across time zones and cultures
Strong leadership, stakeholder management, and communication skills
Excellent oral and written English skills
Must-Have Skills
Proven success in high-performing data management teams (collaboration, innovation, improvement)
Strong background in Data Platforms Operations and Agile Product team delivery
Experience in global data transformation projects (India/global teams)
Knowledge of data architecture, data flow design, data modeling, and data profiling
Hands-on expertise with AWS, Databricks, SQL, Python, R
Ability to conduct root-cause analysis and implement long-term remediation
Strong solution design experience for both small features and large-scale programs
Quick learning agility for complex commercial data flows
Alignment with industry best practices and forward-looking data platform roadmaps
Good-to-Have Skills
Experience in life sciences commercial data (Data Platforms, Patient Data)
Understanding of syndicated datasets (IQVIA, etc.)
Exposure to multinational teams and cross-cultural collaboration
Familiarity with compliance and data privacy requirements
Knowledge of Scaled Agile Framework (SAFe)
Soft Skills
Exceptional collaboration and communication abilities
Strong analytical and decision-making skills
Comfort in fast-paced, dynamic environments
Strong presentation and storytelling skills for complex concepts
Application Process
Update your Workday Career Profile using “Upload My Experience” for faster application.
Employees must be in their current role for at least 18 months before applying internally.
Staff under a Performance Improvement Plan (PIP) or with a rating below “Partially Meets Expectations” are ineligible.
Please review Amgen’s Internal Transfer Guidelines before applying.
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