Job Title: Data Governance Consultant with AI exp
Location:
New York (hybrid)
Long Term
Job Responsibilities:
Drive development and implementation of comprehensive Data, Cloud, and AI Management Frameworks, monitor and enforce compliance of related policies & standards,
and improve quality and protection of sensitive data and information assets across Client Group, including newly integrated entities from acquisitions.
Job Responsibilities:
- Drive implementation of client integrated Data, Cloud, and AI Governance frameworks, with proven experience in successfully implementing
enterprise-wide governance structures focusing on:
- Interoperability across legacy and acquired systems
- Data quality improvement and sensitive data protection
- Cloud data security and compliance
- Responsible AI development and deployment
- Cross-border data transfer compliance
- Integration of governance frameworks during M&A activities
- Deliver post-acquisition integration of data governance frameworks, ensuring seamless alignment of policies, standards, and practices
across merged entities
- Demonstrate exceptional technical expertise in:
- Modern data management and governance tools
- Cloud governance and security frameworks
- AI/ML model governance and risk management
- Data privacy and protection regulations
- Automation of governance activities
- Integration of disparate governance systems
- Contribute to multiple concurrent strategic initiatives while maintaining operational excellence in existing governance frameworks
- Develop and implement comprehensive governance metrics and monitoring systems across data, cloud, and AI domains
- Create and execute strategic roadmaps for governance tool development and implementation
- Partner with business units to ensure governance frameworks enable rather than impede innovation
- Data Platform Migration Project Management:
- Drive end-to-end project management of complex data platform migrations, including:
- Legacy system assessment and documentation
- Migration strategy development and execution
- Risk assessment and mitigation planning
- Budget management and resource allocation
- Timeline development and milestone tracking
- Stakeholder communication and alignment
- Oversee technical aspects of platform migrations:
- Data mapping and transformation requirements
- Data quality validation and reconciliation
- Performance testing and optimization
- Security and access control implementation
- Integration testing and validation
- Cutover planning and execution
- Manage migration-specific activities:
- Coordinate cross-functional teams (IT, Business, Security, Compliance)
- Develop detailed project plans and track progress
- Establish migration success criteria and KPIs
- Create and maintain migration documentation
- Design and implement training programs
- Manage vendor relationships and deliverables
Qualification & Core Skills requirement:
- MBA or master’s in quantitative fields with minimum of 3+ years of relevant experience
- Demonstrated experience in:
- Post-merger integration of data governance frameworks
- Cloud governance implementation and monitoring
- AI/ML governance framework development
- Data privacy and protection program management
- Leading multiple complex projects simultaneously
- Managing diverse stakeholder groups effectively
- Large-scale data platform migration projects
- Migration tool selection and implementation
- Business continuity planning
- Technical expertise in:
- Data governance tools and platforms
- Cloud security and compliance frameworks
- AI/ML model risk management
- Modern data platforms (Snowflake, Databricks, etc.)
- Legacy system modernization
- Database migration tools and methodologies
- Infrastructure as Code (IaC)
- Automated testing frameworks
- DevOps practices and tools
- Modern data architectures and platforms
- Programming languages (Python, Java) and SQL
- Major cloud platforms (AWS, Azure, GCP)
- Strong understanding of:
- Financial services industry regulations
- Global data protection regulations
- Cloud compliance requirements
- AI ethics and responsible AI principles
- Change management methodologies
- Agile project management
- Excellence in:
- Stakeholder management at C-suite level
- Project and program management
- Cross-cultural team leadership
- Strategic planning and execution
- Risk management and mitigation
- Written and verbal communication
- Proven ability to:
- Work effectively in fast-paced environments
- Manage multiple competing priorities
- Make independent decisions
- Lead virtual global teams
- Drive organizational change
- Build consensus across diverse stakeholder groups
Submission Format
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Applicant Full Name
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Applicant Email Address
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Mobile Number
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Any Planned Vacation:
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Work Authorization
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Current Location with Zip code
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Relocation: (Yes/No)
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Availability:
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SSN Last 4 digits
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Applicant Pay Rate
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LinkedIn
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References 1:
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Email address
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Client name
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References 2:
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Thanks & Regards,