Data Governance Architect

Job Description Summary

Job Description

P4-12282

• Job Responsibilities: 
  
•     Define data governance strategies, policies, and procedures.
  
•     Define and enforce data governance standards, ensuring data quality, consistency, and accuracy throughout the data lifecycle.
  
•     Manage data cleansing initiatives through tools and partnerships
  
•     Develop data governance frameworks and guidelines, including data classification, data ownership, and data stewardship.
  
•     Provide implementation guidance on data quality initiatives, including establishing data quality standards, conducting data profiling, and defining data quality rules and metrics.
  
•     Ensure data security and privacy compliance by providing implementation guidance on appropriate access controls, data classification protocols, and data protection measures.
  
•     Design data management processes, including data identification, metadata management, data lineage, and data cataloging.
  
•     Define data sharing and collaboration across teams and departments, ensuring data access, usability, and proper data sharing agreements.
  
•     Provide guidance and training to business users and stakeholders on data governance best practices, policies, and procedures.
  
•     Stay updated on industry trends, standards, and regulatory requirements related to data governance and recommend appropriate modifications to existing policies and practices.
  
•     Collaborate with various business and technology stakeholders to identify, analyze, and resolve data quality issues, data gaps and data conflicts.
  
•     Facilitate data governance forums, such as data governance council, data stewardship committees, and data quality working group, to ensure alignment and collaboration on data governance objectives and priorities.
  
•     Measure and report on data governance metrics and KPIs, such as data quality score, data completeness, data accuracy, and data compliance.
  
•     Contribute to the continuous improvement of data governance framework, processes, and tools, by identifying and implementing best practices and lessons learned.
  QUALIFICATIONS & EXPERIENCE
  The ideal candidate will bring a combination of data governance expertise, business and technology acumen, exceptional relationship building skills and solution-oriented mindset together. In addition, this person should also possess:
  
•     10+ years of experience in data governance, data quality, data management, or data analysis, preferably in a medical device, healthcare, or FDA-regulated environment.
  
•     Experience using data governance tools and platforms, such as Collibra, Informatica, Alation, or similar.
  
•     Experience defining and implementing data quality rules, data lineage, data catalog, data dictionary, and data security.
  
•     Experience supporting data governance initiatives and projects, such as data migration, data integration, data cleansing, and data analytics.
  
•     Experience with Structured Query Language (SQL) is required.
  
•     Familiarity with Databricks Unity Catalog and Notebook development is highly desired. Prior experience with data masking and row level security will be beneficial. 
  
•     Ability to understand and write data transformation logic using Python and Spark-SQL; experience with Databricks workflow will be preferred.
  
•     Experience working in a highly matrixed organization and overcoming ambiguity.
  
•     Ability to align and work with diverse regional stakeholders.
  
•     Strong humility, listening, creativity, interpersonal, and negotiation skills.
  EDUCATION
  
•     Bachelor’s degree in data science, information systems, computer science, or a related field is strongly preferred. Educational certificate or training in data governance, data quality, or data management is a plus.

Required Skills

Optional Skills

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