Risk & Controls Oversight Senior Lead - AI & Data Risk Job at Barclays (London)

Head of AI Risk Approvals and Portfolio Oversight

This is a critical senior leadership role at the forefront of Citi’s strategic e...

Location

Canada , Mississauga

Salary:

350000.00 - 625000.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

15+ years of experience in a large, complex financial institution, regulatory body, or related field
A minimum of 10 years in a senior leadership role within risk management, audit, model governance, or technology risk, with direct experience in AI deployment and oversight
Demonstrated deep subject matter expertise in Artificial Intelligence, including current and emerging technologies and their specific risk implications within a financial services context
Proven track record of scaling large, complex AI or technology initiatives from concept through to production and continuous improvement
Proven ability to provide decisive, independent challenge to senior leadership and influence strategic outcomes in a principles-based manner
Demonstrated success leading high-performing, multi-disciplinary teams and driving change in a complex, global organization
A track record of operating effectively in high-pressure, fast-paced environments, demonstrating resilience and sound judgment under ambiguity
Bachelor’s degree required
Master’s degree preferred

Job Responsibility

Act as the primary 2LOD approval authority for all AI use cases firm-wide, owning the aggregate risk posture of the AI portfolio
Set the strategic vision for AI risk management within the portfolio, ensuring frameworks are effectively implemented and aligned with Citi’s risk appetite
Champion an AI-first mindset by challenging existing processes and driving the re-engineering of workflows to unlock efficiency and simplicity
Provide decisive, independent challenge on all AI initiatives, from strategy and design through execution and post-production monitoring, grounded in deep technical expertise
Leverage deep subject matter expertise in critical AI risk areas, including model fairness and bias, explainability, data privacy, AI security, LLMs, and Agentic AI, to assess and mitigate novel risks, ensuring all use cases are robust and compliant
Conduct thematic reviews to identify emerging risk trends and ensure the control environment remains effective as AI technology evolves
Drive the execution and continuous refinement of the AI Risk Management Framework, adapting processes to meet evolving technological and regulatory demands
Define, monitor, and report on Key Performance and Risk Indicators (KPIs/KRIs) to govern progress and ensure the realization of committed business value
Ensure governance frameworks are applied consistently across all teams and that changes to AI use cases are rigorously reviewed and approved throughout their lifecycle
Serve as the primary AI risk advisor to senior leaders and business/function heads, articulating complex risk exposures to influence strategic decisions

Fulltime

Data Governance Senior Lead Analyst

The Data Governance Foundation Sr Lead Analyst is responsible for leading activi...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience, Banking or Finance industry preferred in a Data Governance/ Data Management/ Process Engineering or related area
Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
able to drive consensus, and influence relationships at all levels
Collaborates effectively by building partnerships and working well with others to meet shared objectives
Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels
Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the “big picture” while paying close attention to detail
Organizational savvy: understands systems, management processes, knows where to go for information and how to interpret them
Working knowledge of Data Operating Model practices, Data Governance and Data Compliance within large, financial services firms
Strong knowledge of data governance models and operating models within complex organizations.
Perform deep‑dive data analysis using spreadsheets and reporting tools to identify trends, root causes, systemic issues, and recurring risks across data controls and governance metrics.

Job Responsibility

Liaise with partners to lead in establishing, managing and implementing policy adoption plans, compliance metrics, communications and training
Lead business analysis through collection, analysis, review, documentation and communication of business needs and requirements, to understand requirements and aligning these to Data Governance and/or Data Risk and Controls standards to drive appropriate solutions
Contribute to the establishment of Data Governance and/or Data Risk and Controls standards in alignment with Enterprise Chief Data Office, and ensure proper documentation of processes
Support key Data Transformation projects across the organization as Subject Matter Expert in data policies
Lead activities to ensure roles and responsibilities related to data are understood and implemented across businesses
Collaborate with colleagues to ensure timely execution of milestones, provide reporting of potential risks to delivery, and incorporate milestone reporting and changes
Capture requirements, develops delivery plans and manages the entire lifecycle of metrics and report production
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Lead enterprise data concern remediation frameworks, establishing clear oversight, escalation, and accountability models across multiple data governance pillars (e.g., quality, lineage, privacy, retention).
Partner with business, technology, and data teams to reimagine how governance is designed, communicated, and adopted.

Fulltime

New

Ai-Data Solutions Lead -Vice President

Citi, the leading global bank, has approximately 200 million customer accounts a...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

13+ years of progressive experience in data analysis, business analysis, or systems analysis, with a strong emphasis on data quality initiatives, AI driven data analytics, and system implementation, preferably within a leadership or senior specialist capacity
Demonstrated advanced proficiency and practical application of Agentic AI, LLM, and GenAI tools for developing innovative data analytical solutions
Experience in designing and implementing AI/ML-driven data solutions is essential
Expert-level proficiency in data analysis and management tools and applications, including Oracle, PL-SQL, advanced data lineage tools, and enterprise data cataloging solutions
Strong familiarity with business intelligence and reporting concepts (e.g., dashboards, metrics, and reporting layers)
extensive hands-on experience reviewing documentation for BI tools such as Tableau is a significant plus
Proven leadership experience, including mentoring junior team members, fostering skill development, and leading cross-functional projects
Demonstrated ability to work independently with minimal supervision, taking full ownership of initiatives, and driving them to successful completion from conception to delivery
Extensive prior experience (minimum 6 years) in the banking or financial services industry is required, with deep exposure to enterprise risk management or specific risk management categories, including a strategic understanding of the role of data in risk reporting, monitoring, and decision-making
Exceptional analytical, problem-solving, and organizational skills, with the ability to interpret highly complex data requirements, synthesize diverse information, and translate them into actionable, executive-level specifications

Job Responsibility

Provide expertise on Data Governance and/or Data Risk and Controls framework including design, effectiveness, performance monitoring and self-assessment processes
Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting
Lead and mentor a team of junior data analysts, fostering their professional growth, developing their technical and soft skills, and ensuring high-quality, impactful deliverables
Drive the adoption of best practices in data analysis, data governance, and project management across the team and contribute to a culture of continuous improvement
Lead and mentor a team of junior data analysts, fostering their professional growth, developing their technical and soft skills, and ensuring high-quality, impactful deliverables
Drive the adoption of best practices in data analysis, data governance, and project management across the team and contribute to a culture of continuous improvement
Spearhead the integration and advanced application of Agentic AI, LLM, and other Generative AI (GenAI) tools to develop sophisticated and innovative data analytical solutions for Enterprise Risk Management
Define, develop, and implement AI/ML strategies for predictive modeling, advanced anomaly detection, automated reporting, and enhanced risk insights within the financial risk domain
Evaluate and recommend new AI/ML technologies and methodologies to continuously improve data analysis and reporting capabilities
Proactively identify strategic data opportunities and challenges, proposing innovative solutions to enhance Enterprise Risk Management capabilities and reporting effectiveness

Fulltime

Senior Vice President

Senior Vice President role in the Data Transfers Office focusing on delivering a...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Progressive experience in privacy, regulatory operations, legal, compliance, or data governance within global financial institutions or enterprise settings
Proven success in managing and developing cross-functional teams across multiple time zones in complex, matrixed organizations
Strong working knowledge of international privacy laws and cross-border regulatory requirements including GDPR, CCPA
Hands-on experience with automation tools, workflow platforms, and AI integration in business processes
Demonstrated expertise in risk and control frameworks including process oversight and audit preparation
Prior consulting experience showcasing ability to diagnose issues and propose solutions
Strong proactive and analytical problem-solving mindset
Demonstrated ability to take ownership and deliver results
Exceptional track record of executive communications and advisory support
CIPP/CIPM/CIPT/CISA certifications an added advantage

Job Responsibility

Lead and operationalize cross-border data clearance activities covering privacy, outsourcing, localization, and data sovereignty requirements
Build and manage a high-performing team responsible for execution, coordination, and control adherence
Design and implement a scalable and efficient operating model aligned with Citi's global data transfer framework
Collaborate effectively across global legal, compliance, technology, and business teams
Drive product and automation development including AI-powered decision support systems and workflow integrations
Own and maintain the business-aligned Data Transfer Register
Conduct in-depth qualitative and quantitative analysis to evaluate process performance
Serve as a trusted advisor to business partners on framework implementation and regulatory interpretation
Produce and curate high-quality content including playbooks and guidance documents
Communicate complex regulatory and process information to senior management and stakeholders

What we offer

27 days annual leave (plus bank holidays)
Discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to learning and development resources

Fulltime

New

Managers Control Self-Assessment (MCA) Sr. Lead Analyst Senior Vice President

Independent Risk Management (IRM) oversees Citi's risk governance framework and ...

Location

Canada , Mississauga

Salary:

141600.00 - 212400.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in risk management, compliance, audit, or other control-related functions in the financial services industry
Ability to identify, measure, and manage key risks and controls
Self-driven, fast learner with excellent communication skills, both verbal and written
Experience with change management programs/projects and initiatives to improve risk and control management at a large financial institution
Experience with design, re-design, or enhancing of control environments and risk and control self-assessment processes
Demonstrated capability to confidently raise issues, escalate early, and engage in constructive credible challenge independently
Strong interpersonal skills, with evidence of working in collaboration across large organizations, including a proactive and 'no surprises' approach
History of proactively seeking opportunities to enhance and strengthen controls in a way that enhances risk management and oversight
Process re-engineering and improvement mindset with ability to identify and solve for root cause rather than symptoms
Experience constructively challenging others at all levels and across boundaries to deliver better results, as well as inviting constructive feedback

Job Responsibility

Manage Citi's RCSA program (called Managers Control Assessment, or MCA) for CBNA
Oversee and support the application of risk policies and governance processes to create lasting solutions for minimizing losses from failed internal processes, inadequate controls, and emerging risks
Develop and maintain strong working relationships with in-Business & Function Risk / Control Leads and other key stakeholders
Build control monitoring procedures, including quality testing and reviews of operating effectiveness and sustainability
Facilitate control monitoring, including communication of expectations to control owners
Partner with control owners on inherent risk rationale and reassessment of rationale in accordance with monitoring results
Maintain controls for processes including ongoing evolution of controls in alignment with risk profile changes
Identify control weaknesses and assess root cause, partnering with control owners to determine appropriate risk response
Raise issues as appropriate to improve control design and execution, including determination of issue ownership
Support development and discussions related to annual, quarterly, and monthly risk assessments, residual risk analysis, and action plan creation

Fulltime

Assistant Vice President (AVP), Non-Financial Risk – Data & Model Risk Specialist

The Assistant Vice President (AVP), Non-Financial Risk - Data & Model Risk Speci...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum of 5-8 years of experience in operational risk management, compliance, audit, or other control-related functions in the financial services industry
Ability to identify, measure, and manage key risks and controls
Strong knowledge in the development and execution for controls
Proven experience in control related functions in the financial industry
Proven experience in implementing sustainable solutions and improving processes
Understanding of compliance laws, rules, regulations, and best practices
Understanding of Citi’s Policies, Standards, and Procedures
Strong analytical skills to evaluate complex risk and control activities and processes
Strong verbal and written communication skills, with a demonstrated ability to engage at the senior management level
Strong problem-solving and decision-making skills

Job Responsibility

Conduct comprehensive non-financial risk assessments for new and existing data initiatives, data flows, and analytical models, focusing on data governance, data quality, data privacy, model development, model validation, regulatory compliance, and reputational risk
Support the implementation and continuous enhancement of Citi’s Data and Model Risk Management (DMRM) framework, policies, and procedures within the Client Organization
Establish and execute ongoing monitoring activities for critical data assets and models, including data quality metrics, model performance reviews, validation effectiveness evaluations, and incident management
Identify and escalate emerging data and model risks. Collaborate with business owners, technology teams, and model developers to develop and implement effective risk mitigation plans and corrective actions
Partner closely with business units, Technology, Quantitative Risk, Compliance, and other risk functions to ensure a consistent and integrated approach to data and model risk management
Contribute to developing and delivering training and awareness programs on data and model risk management best practices for business stakeholders
Provide oversight and direction for model lifecycle governance, including model onboarding, changes, validations, limitations, inactive models, and annual lifecycle reviews
Influence and partner with senior stakeholders across functions and regions to embed controls, strengthen governance, and drive consistent execution
Lead analysis of control environments and processes, identifying strategic opportunities to enhance control effectiveness, operational efficiency, and overall governance maturity

Fulltime

Ai Security Governance Lead

Join Barclays as an AI Security Governance Lead, a pivotal role at the forefront...

Location

United Kingdom , Knutsford; London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

AI Security Risk & Governance Expertise- Proven ability to design and operate enterprise‑wide risk and governance frameworks, embedding AI‑specific security risks into existing ERM, IT governance, and control oversight processes.
Regulatory & Compliance Leadership- Strong capability to interpret evolving AI‑related regulations and standards (e.g. EU AI Act, ISO/IEC 42001), translate them into actionable controls and policy, and engage confidently with regulators and auditors.
Executive Communication & Influence - Ability to clearly articulate complex AI security risks to senior leadership and boards, drive cross‑functional alignment, and influence risk decisions without direct authority.

Job Responsibility

Collaboration with stakeholders to understand their security requirements in business processes and IT projects, to enhance overall risk management.
Execution of risk assessments to identify and prioritise potential cybersecurity threats that could impact the banks operations and data and guide the implementation of mitigation strategies and communicate findings to relevant findings to relevant senior stakeholders.
Collaboration with business units to develop and implement security policies and procedures for the banks operations aligned to the risk management framework.
Management of the implementation, testing and monitoring of security controls across the banks IT systems to ensure the effectiveness of controls and mitigation of risk.
Execution of training content and sessions to educate employees, enhance cybersecurity awareness and provide guidance on safe online practices.
Management of complex cybersecurity incidents by collaborating with IT teams and response experts to effectively resolve cases through analysis, expertise support and project supervision.
Identification of emerging cybersecurity trends, threats, and new technologies to address potential risks by advocating the adoption of new security solutions.

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Quality Engineering Lead

We are seeking an experienced Test Director / Quality Engineering Director with ...

Location

United Kingdom , London

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related field
Extensive experience (typically 15+ years) in testing, quality engineering or data delivery roles, with a strong technical background
BPSS minimum, SC not mandated but strong likelihood to be required
Proven Director level experience leading testing and quality engineering on large, complex data-centric programmes
Excellent stakeholder management skills, with the ability to influence at Programme Board level and to convey complex technical concepts to both technical and non-technical stakeholders
Experience managing large SDET and QA teams, including test data and environment management
Demonstrated experience producing Programme-level Test Strategies and Master Test Plans for functional and non-functional testing in a data environment with a strong focus on data quality and integrity
Strong understanding of data engineering concepts, including data pipelines data migration, data architecture and related testing methodologies
Experience leading teams responsible for designing, building and maintaining automated data testing frameworks, leveraging scripting and orchestration where appropriate
Strong problem-solving skills and ability to think critically

Job Responsibility

Programme-Level Accountability & Leadership: Sit as a full member of the Programme Leadership Team, accountable for quality outcomes across the delivery
Act as the single point of accountability for all testing and quality engineering activity
Provide clear, evidence-based recommendations on go-live readiness, data integrity and operational risk
Lead, coach and motivate a team of Test Leads and SDETs
Multi-Supplier & Stakeholder Management: Serve as the primary point of contact for the client and third-parties on all testing matters
Coordinate testing across multiple suppliers, ensuring consistency in standards, tooling and reporting
Challenge delivery partners constructively on test coverage, defect quality, dependencies and risk exposure
Communicate complex technical test outcomes in clear business terms to senior stakeholders
Test Strategy & Operating Model: Define, own and maintain the Test Strategy, aligned to a Data Factory testing model
Author and assure Programme-level Master Test Plans and Test Phase / Test Level Plans

What we offer

Tailored benefits that support your physical, emotional, and financial wellbeing
Continuous growth and development opportunities
Opportunity to have flexible work options

Fulltime

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Risk & Controls Oversight Senior Lead - AI & Data Risk

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