AI Governance SME

As an AI Governance SME at Capco, your primary responsibilities include designing and implementing robust governance frameworks for AI technologies, ensuring compliance with both regulatory requirements and industry best practices. You will collaborate with multiple teams to mitigate risks associated with AI, such as privacy, bias, and security. Your role also involves monitoring emerging regulatory trends and advising senior leadership on governance challenges, making it a dynamic position where you can truly influence AI's deployment in the financial services sector.

To be considered for the AI Governance SME position at Capco, candidates should have proven experience in establishing governance frameworks, particularly in advanced technologies like AI. A Bachelor's or Master's degree in relevant fields such as Law, Ethics, Computer Science, or Data Science is essential, along with strong knowledge of regulatory requirements such as GDPR. The ability to balance compliance and innovation, excellent communication skills, and a strong analytical mindset are also key qualifications.

Success as an AI Governance SME at Capco hinges on a combination of strong analytical skills and a comprehensive understanding of AI ethics and regulations. Excellent communications skills for engaging both technical and non-technical audiences are essential, as is the ability to develop and deliver training programs. Being adept at identifying risks within AI technologies and proposing effective solutions is paramount, making stakeholder management an essential skill for this role.

Capco prides itself on fostering a creative, collaborative, and inclusive culture where everyone can bring their unique perspectives to the table. In the AI Governance team, we actively encourage diverse ideas and backgrounds, recognizing that innovation stems from varied experiences. Our commitment to diversity is reflected in our hiring practices and team dynamics, ensuring a welcoming environment for all professionals to thrive.

The work culture at Capco for an AI Governance SME is vibrant and transformational. We maintain an entrepreneurial spirit, encouraging rapid learning and growth without bureaucratic barriers. Our collaborative approach allows for open communication and idea exchange, empowering each team member to make a meaningful contribution. Capco's focus on innovation and delivering lasting value creates a fulfilling environment for all employees.

In your response, illustrate specific examples of AI governance frameworks you've created, emphasizing how they ensured compliance and addressed ethical concerns. Cite the processes you followed, such as stakeholder engagement and continuous monitoring, and showcase your understanding of regulations like GDPR and others relevant to financial services.

Discuss your approach to risk identification and mitigation in AI environments. Highlight specific tools or methods you've employed, such as risk assessments or audits, and how you've worked with cross-functional teams to ensure that strategies are effectively implemented and regularly updated.

Articulate your understanding of current ethical debates surrounding AI, such as bias, privacy, and accountability. Discuss your views on how these issues impact governance frameworks and what proactive measures can be taken to address them within a financial services context.

Share your strategies for staying updated on emerging regulations. Emphasize your experience in continuously adapting governance frameworks and policies to meet new requirements, and talk about how you might involve key stakeholders in this process for a comprehensive approach.

Highlight your experience with both formal and informal stakeholder engagement methodologies. Discuss how you tailor your communication level to suit different audience types and your strategies for facilitating productive dialogues around AI governance.

Relate a specific challenge, discussing the context and what made it difficult. Then, explain the steps you took to address the issue, including any collaborative efforts, and reflect on what you learned from the experience regarding governance best practices.

Discuss your philosophy and process for developing effective training programs. Talk about the importance of understanding your audience's knowledge level and how you leverage various teaching techniques to ensure comprehensive learning about AI governance principles.

Demonstrate your understanding of how technology enables governance practices—like automation in compliance checks, monitoring AI behavior, or data auditing. Share examples from your past experiences where tech solutions were integral to effective governance.

Describe your approach to fostering an innovative environment while ensuring compliance standards are met. Highlight your ability to integrate compliance checks early in the AI development process, and how this proactive approach can lead to better outcomes in technology deployment.

Elaborate on your experience working across multiple departments. Discuss the systems you have set up for cooperation, such as cross-departmental meetings or updates, to ensure that every team is aligned and informed regarding governance policies and practices.