S&P Global Market Intelligence is seeking a Director of Data Governance and Strategy to lead the development and implementation of data management frameworks that enhance data quality, compliance, and accessibility. The ideal candidate will have a strong background in data governance, leadership skills, and a passion for fostering a data-driven culture
Job Summary
The Data Strategy and Governance Lead will oversee the development and implementation of data management frameworks and strategies that ensure the effective management and utilization of data across the organization.
We are looking for a candidate who is genuinely passionate about data governance and strategy, and who can inspire others in this space.
Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on.
Matching Summary
Match Score: 85
S&P Global Market Intelligence is seeking a Director of Data Governance and Strategy to lead the development and implementation of data management frameworks that enhance data quality, compliance, and accessibility. The ideal candidate will have a strong background in data governance, leadership skills, and a passion for fostering a data-driven culture.
Skills & Requirements
Must-have
data management frameworks
data quality, integrity, compliance
data stewardship
strategic roadmaps for data initiatives
data lineage documentation
Nice-to-have
fostering a data-driven culture
inspire others in data governance
enhancing overall culture around data governance
passion for data governance and strategy
Key Requirements
Bachelor’s degree in Data Management, Business Administration, Information Technology, or a related field
Minimum of 15 years of experience in data governance, data management, or related fields
Strong understanding of data governance principles, data quality management, and regulatory requirements
Excellent analytical skills and experience with data analytics tools
Proven ability to communicate data concepts effectively to non-technical stakeholders