Audit Manager in Data, Privacy, and Responsible AI portfolio for one of the UK’s largest digital banks. Leading high-quality audits and contributing to Data & AI strategy improvement.
Responsibilities
Contribute to the audit plan, supporting the portfolio lead by project managing individual audits on their behalf.
Support control testing and identify areas of concern, articulating the potential challenge.
Support senior colleagues build meaningful stakeholder relationships whilst making their own connections
Proactively suggest & deliver improvements in current compliance processes by being bold.
Conduct research considering multiple perspectives and brings the outside in to enable analysis of key themes and external trends.
Actively role model the Group values and behaviours.
Put the team first by coaching with purpose, being present with the team and openly communicating expectations.
Freely share insight and timely, direct, effective feedback that contributes to the success of the delivery plan and leaves a positive, sustainable impact on the function.
Requirements
Experience in leading audits from an end-to-end point of view and engagement with key stakeholders to deliver audits that are timely, impactful, insightful and valued by stakeholders.
Understanding of key concepts relevant to data management, data privacy, AI and cloud technology
The ability to lead and taking ownership for delivery, and championing colleagues' growth and development.
The ability to understand and interpret Group and Business Unit Strategy and connect audit delivery and business monitoring insights to such strategies at the Macro level.
The ability to analyse, understand and communicate data as information, and to use data to drive effective audit outcomes.
The ability to prioritize your work and that of others effectively to ensure timely and value-added delivery.
In addition, technical knowledge and experience in the following:
Data Management frameworks, including Data risks and controls and understanding of Data Management tools (Cloud native or other) e.g. Collibra
AI Governance Frameworks, laws and regulations (including intersection with data privacy laws and regulations)
Understanding of emerging AI technologies and practice
Technical skills might be demonstrated by professional qualification(s) e.g. DAMA, CDMP and/or evidence of extensive work-based experience in relevant areas.
Previous financial services, audit or risk experience is beneficial.
Benefits
A generous pension contribution of up to 15%
An annual performance-related bonus
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
30 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies
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