MDM Associate Data Steward

MDM Associate Data Steward

Roles & Responsibilities

• Data Stewardship & Management:

  You will be responsible for master data stewardship, ensuring data accuracy and integrity. This includes conducting data profiling, cataloging, and reconciliation activities using

  Informatica

  or

  Reltio MDM

  platforms. You'll also manage the

  Data Change Request (DCR)

  processes, reviewing and approving data updates in compliance with established procedures and SLAs.

• Data Analysis & Automation:

  Execute and optimize

  SQL

  queries for validation and analysis of master data. You will also use basic

  Python

  for data transformation, quality checks, and automation.

• Collaboration & Documentation:

  Collaborate with cross-functional teams to fulfill data requirements. You will document and maintain accurate

  SOPs

  , Data Catalogs, Playbooks, and SLAs.

• Quality & Compliance:

  Implement data governance processes, ensuring compliance with enterprise standards and policies. You will perform regular audits and monitoring to maintain high data quality and integrity. You'll also support user acceptance testing (

  UAT

  ) and system integration tests for

  MDM

  updates.

Technical Skills

• Direct, hands-on experience in data stewardship, data profiling, and master data management.
• Proficiency in

  SQL

  for data analysis and querying.
• Basic proficiency in

  Python

  scripting for data processing.
• Experience with

  Informatica

  or

  Reltio MDM

  platforms.
• Knowledge of data cataloging techniques and tools.
• Experience with

  PySpark

  and

  Databricks

  for large-scale data processing is a plus.
• Familiarity with

  AWS

  or other cloud-based data solutions is a plus.
• Understanding of regulatory compliance related to data protection (

  GDPR, CCPA

  ) is a plus.

• Informatica

  ,

  SQL

  , or cloud (

  AWS/Azure

  ) certifications are preferred.

Qualifications

• A Master's, Bachelor's, or Diploma in Business, Engineering, IT, or a related field.
• A background in the pharmaceutical, healthcare, or life sciences industries is a plus.

Soft Skills

• Analytical Abilities:

  Strong analytical and problem-solving skills to assess and improve master data processes.

• Communication:

  Excellent verbal and written communication skills to convey complex data concepts to both technical and non-technical stakeholders.

• Collaboration:

  The ability to work effectively with global, virtual teams.

• Organization:

  Strong attention to detail to ensure high data quality and integrity.