About Nina
Ms. Bryant specialises in combining data expertise across legal, compliance, privacy and risk to enable business transformation and build cultures of compliance and collaboration in combination with effective technology solutions. She was a pioneering leader in developing FTI Technology’s expertise and solutions for artificial intelligence governance and guides clients in establishing strong frameworks and controls to support ethical, compliant and effective use of AI.
Her experience includes formulating program strategies that align competing cross-functional agendas to achieve compliance and risk reduction objectives. She also helps clients rapidly assess data governance and privacy maturity to build robust governance frameworks and operating models, leverage technology, data governance and privacy subject matter expertise to implement privacy by design, define business architecture and design software solutions that uphold data protection controls.
Prior to FTI Technology, Ms. Bryant led several data governance and regulatory compliance programmes at Deutsche Bank and IBM.
Relevant Experience:
- Designed and implemented data strategies within a global corporation, identifying strategic technology to deliver compliant solutions and culture and process transformation
- Developed structured and unstructured data analytics solutions to analyse trading and financial data to meet complex global regulatory requirements within financial services organisations
- Led the development of records management programmes, working with senior stakeholders to reduce organisational risk through improved regulatory compliance and business process efficiency to deliver strategic goals
Education
B.A., Information Studies, Aberystwyth University
Related Insights
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Contact
T: +44 20 3727 1124
nina.bryant@fticonsulting.com -
Office
200 Aldersgate
Aldersgate Street
London EC1A 4HD
United Kingdom
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Expertise
Artificial Intelligence
Change Management
Data Privacy & Protection
Information Governance
Risk Management & Internal Controls