MDM Associate Data Steward

Amgen Inc.

3.6

(9)

Hyderabad, India

Why you should apply for a job to Amgen Inc.:

  • 67% say women are treated fairly and equally to men
  • 78% would recommend this company to other women
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Flexible work models that empower staff members to work where and when they are most productive
  • Award-winning PTO plan and bi-annual company-wide shutdowns
  • With 11 Employee Resource Groups, 60 chapters & 11000 members everyone has opportunity to connect, network & foster a culture of belonging
  • #R-213478

    Position summary

    esses, comprehensive data cataloging, and data governance frameworks utilizing Informatica or Reltio MDM platforms. Additionally, the incumbent will perform advanced data analysis, data validation, and data transformation tasks through SQL queries and Python scripts to enable informed, data-driven business decisions. The role emphasizes cross-functional collaboration with various teams, including Data Engineering, Commercial, Medical, Compliance, and IT, to align data management activities with organizational goals and compliance standards.

    Roles & Responsibilities:

    • Responsible for master data stewardship, ensuring data accuracy and integrity across key master data domains (e.g., Customer, Product, Affiliations).

    • Conduct advanced data profiling, cataloging, and reconciliation activities using Informatica or Reltio MDM platforms.

    • Manage the reconciliation of potential matches, ensuring accurate resolution of data discrepancies and preventing duplicate data entries.

    • Effectively manage Data Change Request (DCR) processes, including reviewing, approving, and documenting data updates in compliance with established procedures and SLAs.

    • Execute and optimize SQL queries for validation and analysis of master data.

    • Perform basic Python for data transformation, quality checks, and automation.

    • Collaborate effectively with cross-functional teams including Data Engineering, Commercial, Medical, Compliance, and IT to fulfill data requirements.

    • Support user acceptance testing (UAT) and system integration tests for MDM related system updates.

    • Implement data governance processes ensuring compliance with enterprise standards, policies, and frameworks.

    • Document and maintain accurate SOPs, Data Catalogs, Playbooks, and SLAs.

    • Identify and implement process improvements to enhance data stewardship and analytic capabilities.

    • Perform regular audits and monitoring to maintain high data quality and integrity.

    Basic Qualifications and Experience:

    • Master's degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR

    • Bachelor's degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR

    • Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field

    Functional Skills:

    Must-Have Skills:

    • Direct experience in data stewardship, data profiling, and master data management.

    • Hands-on experience with Informatica or Reltio MDM platforms.

    • Proficiency in SQL for data analysis and querying.

    • Knowledge of data cataloging techniques and tools.

    • Basic proficiency in Python scripting for data processing.

    Good-to-Have Skills:

    • Experience with PySpark and Databricks for large-scale data processing.

    • Background in the pharmaceutical, healthcare, or life sciences industries.

    • Familiarity with AWS or other cloud-based data solutions.

    • Strong project management and agile workflow familiarity (e.g., using Jira, Confluence).

    • Understanding of regulatory compliance related to data protection (GDPR, CCPA).

    Professional Certifications:

    • Any ETL certification (e.g. Informatica)

    • Any Data Analysis certification (SQL)

    • Any cloud certification (AWS or AZURE)

    Soft Skills:

    • Strong analytical abilities to assess and improve master data processes and solutions.

    • Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.

    • Effective problem-solving skills to address data-related issues and implement scalable solutions.

    • Ability to work effectively with global, virtual teams

    EQUAL OPPORTUNITY STATEMENT

    Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

    We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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    Why you should apply for a job to Amgen Inc.:

  • 67% say women are treated fairly and equally to men
  • 78% would recommend this company to other women
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Flexible work models that empower staff members to work where and when they are most productive
  • Award-winning PTO plan and bi-annual company-wide shutdowns
  • With 11 Employee Resource Groups, 60 chapters & 11000 members everyone has opportunity to connect, network & foster a culture of belonging