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
- 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.

Primary Work Location

IND Bengaluru - Technology Campus

Additional Locations

Work Shift