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- Tasks: Lead AI governance and strategy to ensure responsible AI adoption across the organisation.
- Company: Join a forward-thinking company prioritising innovation and diversity.
- Benefits: Competitive pay, comprehensive health benefits, flexible work model, and generous leave policies.
- Other info: Dynamic role with top-class training and development opportunities.
- Why this job: Shape the future of AI while balancing innovation with responsibility and oversight.
- Qualifications: 12+ years in tech governance, strong AI knowledge, and leadership skills required.
The predicted salary is between 43200 - 72000 £ per year.
Pay and Benefits
- Competitive compensation, including base pay and annual incentive
- Comprehensive health and life insurance and well-being benefits
- Pension
- Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
- DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).
The impact you will have in this role
We are seeking a highly experienced Director, Lead AI Governance to establish and oversee the governance framework that ensures the safe, responsible, and scalable adoption of artificial intelligence across the organization. In this role, you will define the policies, standards, and oversight mechanisms required to manage AI risks while enabling innovation and responsible experimentation. You will work closely with technology leadership, model risk management, data governance, and product teams to ensure AI systems align with regulatory expectations, enterprise risk frameworks, and industry best practices. The role will also help shape how AI capabilities are deployed across the organization by developing practical governance approaches that balance oversight with the need for rapid innovation.
Your Primary Responsibilities
- AI Governance Strategy & Framework Development: Ability to define enterprise governance frameworks that guide the responsible development, deployment, and monitoring of AI systems across the organization.
- Model Risk & Responsible AI Oversight: Experience designing governance structures that align AI development with model risk management, fairness, transparency, and accountability principles.
- AI Risk Assessment & Control Design: Strong ability to evaluate AI systems and define appropriate controls related to data usage, model behavior, monitoring, and operational risks.
- Regulatory & Compliance Alignment: Understanding of emerging regulatory expectations related to AI, including frameworks governing transparency, accountability, and safe deployment of advanced AI technologies.
- AI Lifecycle Governance: Ability to establish governance processes that oversee the entire AI lifecycle, including experimentation, development, deployment, monitoring, and retirement.
- Cross-Functional Risk Collaboration: Experience working with technology, legal, compliance, data governance, and model risk teams to ensure AI initiatives align with enterprise risk management practices.
- Enterprise AI Adoption Enablement: Ability to design governance processes that support responsible scaling of AI capabilities while minimizing unnecessary barriers to innovation.
NOTE: The Primary Responsibilities of this role are not limited to the details above.
Qualifications
- Bachelor’s degree in appropriate field of study
- Minimum of 12 years of experience in technology governance, model risk management, data governance, AI risk management, or related leadership roles.
Talents Needed for Success
- Deep understanding of AI governance, model risk management, and responsible AI frameworks.
- Experience developing governance structures for machine learning and generative AI technologies.
- Strong knowledge of regulatory expectations and risk frameworks related to AI and advanced analytics.
- Ability to design practical governance frameworks that enable innovation while maintaining strong oversight.
- Experience working across technology, risk, legal, and compliance organizations.
- Strong communication and leadership skills with the ability to explain complex AI risks to both technical and non-technical stakeholders.
- Ability to guide organizations in implementing responsible AI practices, monitoring, and oversight mechanisms.
We offer top class training and development for you to be an asset in our organization!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Director Data Quality Governance and Strategy employer: DTCC
Contact Detail:
DTCC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director Data Quality Governance and Strategy
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how you fit into their vision, especially around AI governance and strategy.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining our team.
We think you need these skills to ace Director Data Quality Governance and Strategy
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Director Data Quality Governance and Strategy role. Highlight your experience in AI governance and model risk management, as we want to see how your skills align with our needs.
Showcase Your Achievements: Don’t just list your responsibilities; share specific achievements that demonstrate your expertise in AI governance and risk management. We love seeing quantifiable results that show how you've made an impact in previous roles.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain complex concepts, as we appreciate clarity and directness in communication, especially when it comes to technical topics.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at DTCC
✨Know Your AI Governance Inside Out
Make sure you have a solid grasp of AI governance frameworks and model risk management principles. Brush up on the latest regulatory expectations and be ready to discuss how they apply to the role. This will show that you're not just familiar with the concepts, but that you can also implement them effectively.
✨Prepare Real-World Examples
Think of specific instances where you've successfully developed or implemented governance structures for AI systems. Be ready to share these examples during the interview, highlighting your role, the challenges faced, and the outcomes achieved. This will demonstrate your hands-on experience and problem-solving skills.
✨Showcase Your Cross-Functional Collaboration Skills
Since this role involves working with various teams like technology, legal, and compliance, prepare to discuss how you've collaborated across departments in the past. Highlight any successful projects where you facilitated communication and alignment between different stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current AI initiatives and governance challenges. This not only shows your interest in the role but also gives you a chance to assess if the company’s values align with yours. It’s a great way to engage with the interviewers and leave a lasting impression.