AI Governance Assurance - Data Science Practice

Barclays•Wilmington, DE

3d•$110,000 - $155,000•Onsite

About The Position

Embark on a transformative journey as an AI Governance Assurance - Data Science Practice. At Barclays, our vision is clear –to redefine the future of banking and help craft innovative solutions. This role provides an opportunity to gain exposure to AI, governance, risk, and controls while supporting a strategic and rapidly evolving area within the US Consumer Bank. You will work with a diverse group of stakeholders to help establish governance processes that enable innovation while maintaining appropriate oversight and accountability.

Requirements

Demonstrating an understanding of the Artificial Intelligence (AI) lifecycle, and governance requirements, with the ability to identify, assess, and investigate risks while ensuring compliance with applicable standards, policies, and regulatory requirements
Governance assurance activities across the AI lifecycle, including control assessments, evidence validation, issue identification, risk evaluation, and remediation oversight
Partner with business, technology, risk, and control stakeholders to drive governance adherence, resolve gaps, and support the responsible adoption of AI solutions
Communicating governance, risk, and control matters effectively to both technical and non-technical stakeholders, including senior stakeholders
Influence and drive outcomes across cross-functional teams, balancing innovation, risk management, and regulatory expectations in a fast-paced environment

Nice To Haves

Delivery-focused, with the ability to handle competing priorities, drive targets to completion, and meet deadlines
Good interpersonal abilities, communicate with stakeholders, ability to influence outcomes, build trusted relationships, and drive targets across multiple functions and levels of the organization
Risk and controls
Change and transformation
Business acumen
Strategic thinking
Digital and technology
Job-specific technical skills

Responsibilities

Development and execution of data extraction strategies to gather relevant data from various sources, including internal systems, external databases, and third-party vendors.
Analysis of data to identify potential risks and control weaknesses.
Provision of data-driven insights and analysis to auditors throughout the audit process.
Supporting the development and testing of audit procedures based on data analysis results.
Implementation of data management processes to ensure data accessibility, security, and integrity.
Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.
Demonstrate an understanding of the Artificial Intelligence (AI) lifecycle, and governance requirements, with the ability to identify, assess, and investigate risks while ensuring compliance with applicable standards, policies, and regulatory requirements.
Conduct governance assurance activities across the AI lifecycle, including control assessments, evidence validation, issue identification, risk evaluation, and remediation oversight.
Partner with business, technology, risk, and control stakeholders to drive governance adherence, resolve gaps, and support the responsible adoption of AI solutions.
Communicate governance, risk, and control matters effectively to both technical and non-technical stakeholders, including senior stakeholders.
Influence and drive outcomes across cross-functional teams, balancing innovation, risk management, and regulatory expectations in a fast-paced environment.