Overview
In this role you will contribute to Deloitte Global by leading governance and compliance initiatives across AI, confidentiality, and privacy. You will work with global teams and member firms to protect the Deloitte brand while driving business change and transformation. You’ll translate strategy into governance objectives, manage multi-stakeholder delivery, and support senior leadership with evidence-based insights. This is an opportunity to shape trustworthy AI, strengthen regulatory compliance, and foster an accountable, resilient organization.
Pay / Benefits
- hybrid working policy
- wellbeing support
- world-class development and learning
- flexible career progression
- opportunity to work across global teams
- purpose-driven culture
Responsibilities
- Develop, implement, and continuously improve governance frameworks, policies, standards, processes, guidance, and training to uphold ethical principles and mitigate risk
- Act as a Global AI use case reviewer, advising on trustworthy AI and designing AI compliance by design initiatives
- Translate strategy and regulatory obligations into governance objectives, roadmaps, priorities, and actionable workstreams
- Build and manage relationships with multidisciplinary teams to integrate governance into AI, confidentiality, and privacy initiatives
- Monitor emerging AI regulations and tech developments to strengthen the governance program
- Provide evidence-based insights and recommendations on governance maturity, compliance exposure, and opportunities to improve trust and resilience
- Lead ad-hoc projects and activities including planning, reporting, and stakeholder communications
- Coach and develop team members and contributors to build governance and compliance capability
Key requirements
- Excellent organizational and project management skills with a track record of issue resolution and risk assessment
- Experience with data privacy, AI, innovative technologies, and data protection regulation
- Understanding of AI regulations, privacy legislation, and technology interaction
- Experience identifying, assessing, and managing AI and data risks including privacy, ethics, bias, transparency, and resilience
- Strong communication and collaboration skills across cross-functional teams
- Inclusive and ethical leadership with ability to influence and develop high-performing teams
- Ability to communicate strategic data protection topics to both technical and non-technical audiences
- Motivation, integrity, reliability, and adaptability to manage multiple workstreams
- collaboration
- inclusivity and ethical leadership
- clear communication
- AI governance and compliance
- data risk management and privacy
- data processing and technologies
…
