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Vp, Analytics Assurance Lead

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Barclays

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Location:
United States , Whippany

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Category:

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Contract Type:
Not provided

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Salary:

160000.00 - 210000.00 USD / Year

Job Description:

You will define and oversee the strategy, governance, and enterprise-wide assurance of analytical models and AI systems. This role ensures that all models and AI solutions operate to the highest standards of quality, fairness, regulatory compliance, and operational resilience. The leader will establish and embed assurance frameworks spanning model risk management, AI safety, validation, monitoring, and responsible AI practices. They will collaborate closely with teams across Modeling, Technology, Risk, Operations, Legal, and Compliance to promote transparency and trust in AI-driven decisioning. The role also drives continuous improvement, innovation, and consistency in how models are designed, evaluated, deployed, and monitored, ensuring analytics and AI capabilities deliver meaningful business value while effectively mitigating risk.

Job Responsibility:

  • Define and oversee the strategy, governance, and enterprise-wide assurance of analytical models and AI systems
  • Ensure all models and AI solutions operate to the highest standards of quality, fairness, regulatory compliance, and operational resilience
  • Establish and embed assurance frameworks spanning model risk management, AI safety, validation, monitoring, and responsible AI practices
  • Collaborate closely with teams across Modeling, Technology, Risk, Operations, Legal, and Compliance to promote transparency and trust in AI-driven decisioning
  • Drive continuous improvement, innovation, and consistency in how models are designed, evaluated, deployed, and monitored
  • Collect, clean, analyse, and visualise data to identify potential risks, assess compliance with regulations, and provide valuable insights to auditors
  • Development and execution of data extraction strategies
  • Analysis of data to identify potential risks and control weaknesses
  • Provision of data-driven insights and analysis to auditors
  • Supporting the development and testing of audit procedures
  • Implementation of data management processes

Requirements:

  • Extensive experience leading model risk management, AI assurance, or advanced analytics governance in a regulated sector such as financial services, banking, credit, or insurance
  • Expertise in machine learning, statistical modeling, model validation, and AI/ML monitoring, with familiarity in emerging AI regulatory expectations
  • Demonstrated leadership in managing cross-functional programs, influencing senior stakeholders, and implementing enterprise-scale governance or AI assurance frameworks

Nice to have:

  • Experience building Responsible AI programs or integrating fairness, explainability, and transparency into machine learning development lifecycles
  • Thorough understanding of modern cloud data platforms, MLOps/LLMOps practices, and emerging AI and GenAI architectures
  • Previous oversight of hybrid teams across analytics, risk, data science, and technology, with the ability to evolve and scale organizational capabilities
What we offer:
  • Medical, dental and vision coverage
  • 401(k)
  • life insurance
  • other paid leave for qualifying circumstances
  • incentive award eligibility

Additional Information:

Job Posted:
February 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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