Global Data Governance Lead @ Boston Consulting Group (BCG)
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About Boston Consulting Group
Boston Consulting Group partners with leaders in business and society to tackle critical challenges. Established in 1963, BCG drives transformation through deep industry expertise and innovative strategies.
About the Global Data Governance Lead Role
Join the Data Layer Team to transform BCG into a data-driven enterprise. As the Global Data Governance Lead, you will develop, implement, and manage a comprehensive data governance framework that ensures data integrity, security, compliance, and usability. You will work closely with cross-functional teams to advance BCG’s data platforms and unlock business value through high-quality, actionable insights.
Key Responsibilities
- Define vision, roadmap, and priorities for data governance.
- Develop and enforce data governance policies and best practices.
- Lead data lifecycle management and quality assurance initiatives.
- Implement role-based data access and security measures.
- Oversee enterprise data catalog development and GenAI policy integration.
What You’ll Bring
- 10-12+ years in data-related roles, including governance and analytics.
- Experience with consulting data, benchmarks, and global initiatives.
- Strong skills in data management, quality control, and stakeholder engagement.
- Expertise in data governance tools and emerging technologies like GenAI.
Collaboration & Culture
Work with global consulting teams, IT, analytics, and senior leadership at BCG to drive strategic decision-making and innovation. You will be part of a diverse team committed to data excellence and operational efficiency.
Key skills/competency
- Data Governance
- Data Management
- Data Quality
- Compliance
- Security
- Leadership
- Strategy
- Analytics
- GenAI
- Stakeholder Engagement
How to Get Hired at Boston Consulting Group (BCG)
🎯 Tips for Getting Hired
- Research BCG's culture: Understand their mission, values, and projects.
- Customize your resume: Highlight data governance and analytics experience.
- Emphasize results: Showcase actionable insights and outcomes.
- Prepare case studies: Detail successful data strategy implementations.