Job Description

Career Category

Information Systems

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier, fuller, and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Title: Associate – Master Data Management (MDM)
Location: Amgen Innovation Center, India

The Associate – MDM will be part of the GCO Commercial Data Management team at the Amgen Innovation Center in India. This role will support the day-to-day operations of Amgen’s core commercial MDM platform and data stewardship activities across key domains (Provider, Payer, Product, Patient, and Consent).

The Associate will work closely with senior team members in India and partners in the US/O-US to ensure high-quality master data, accurate documentation, and smooth execution of MDM processes that enable analytics, reporting, and commercial decision-making.

This is a hands-on role ideal for someone early in their career who is eager to build strong foundations in data management and grow within Amgen’s Customer Data & Analytics (CD&A) organization.

ROLES & RESPONSIBILITIES

Operational Data Stewardship & MDM Execution

• Perform day-to-day data stewardship activities across master data domains (e.g., HCP/HCO, Affiliations, Payer/Plan, Product, Patient, Consent).
• Execute data creation, updates, merges, de-duplication and remediation activities in line with defined MDM business rules and SOPs.
• Run data quality checks and validations, investigate anomalies, and escalate issues to senior team members where needed.
• Support triaging and resolution of data issues received from stakeholders, downstream systems, and support channels.

Data Quality, Documentation & Governance Support

• Help maintain accurate and up-to-date documentation for processes, SOPs, data dictionaries, and exception handling guidelines.
• Contribute to data quality monitoring, including preparation of quality metrics, dashboards, and reports.
• Support implementation of governance decisions by applying updated rules to day-to-day data operations.

Collaboration with Technology & Business Teams

• Work with Technology/IT partners to raise and track incidents, enhancements, and defects in MDM tools and related platforms.
• Participate in UAT / testing for new MDM features, data quality rules, and platform enhancements; document results and issues.
• Collaborate with peers in Data Platforms, Patient Data, Acquisition & Governance, and stakeholder teams (e.g., Incentive Compensation, Field Reporting, Analytics) to understand data needs and dependencies.

Continuous Improvement & Innovation

• Identify recurring issues or process gaps and propose ideas to improve data quality, efficiency, and automation.
• Support senior team members in Proof of Concept (POC) activities on new tools/technologies (e.g., Gen AI, automated matching/de-duplication)by preparing test data, executing test cases, and analyzing outputs.
• Stay current on MDM and commercial data best practices and apply learnings under guidance from senior team members.

BASIC QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics, Life Sciences, or a related discipline.
• 2-5 years of experience in data management, data operations, MDM, or related areas (internships and project experience can be considered).
• Experience working with datasets, performing data analysis or data quality checks in a professional or academic setting.
• Comfortable working in global teams and across time zones and cultures.
• Strong English oral and written communication skills.

FUNCTIONAL SKILLS

Must-Have Skills

• Basic understanding of Master Data Management concepts, data models, and data quality principles.
• Hands-on experience with SQL, Excel or similar tools for data exploration, validation, and reporting.
• Exposure to any MDM / data platforms / databases (e.g., Reltio, Informatica, AWS, Redshift, Databricks, or similar) – coursework, projects, or work experience.
• Ability to learn quickly and understand end-to-end commercial data flows, upstream/downstream dependencies, and business rules.
• Strong attention to detail with a focus on accuracy, consistency, and adherence to standards and SOPs.
• Ability to work in an Agile / iterative environment, collaborating with cross-functional teams.

Good-to-Have Skills

• Experience in life sciences / healthcare / commercial data (e.g., IQVIA datasets such as DDD, XPO, LAAD; CRM data; patient/specialty pharmacy data) is a plus.
• Familiarity with compliance and data privacy requirements in handling customer or patient data.
• Exposure to cloud platforms (e.g., AWS) and modern data tools.
• Understanding or exposure to Scaled Agile Framework (SAFe) or similar methodologies.

SOFT SKILLS

• Strong collaboration and communication skills; ability to work effectively with colleagues across levels and geographies.
• Analytical and critical-thinking mindset with a problem-solving orientation.
• Ability to perform well in a fast-paced, changing environment, managing multiple tasks and priorities.
• Openness to feedback and coaching, with a strong desire to learn and grow.
• Ability to articulate findings clearly—both orally and in writing—and to document processes in a structured way.