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Provide technical authority for application and systems security and fraud controls; develop and maintain global security and fraud policies and standards; advise stakeholders and regulators; design and implement GRC processes, automations, and data-driven dashboards; support compliance and regional teams; oversee policy lifecycle and drive implementation across the enterprise.

Lead GRC activities for information security and fraud: conduct risk assessments, develop and maintain global policies and controls, advise stakeholders, implement GRC tooling, automations, and dashboards, and support compliance with financial services regulations and external regulators.

Lead backend architecture and server-side development for enterprise applications. Provide technical direction, approve solutions, optimize performance and databases, troubleshoot complex issues, ensure security and scalability, mentor teams, and enforce enterprise standards across projects.

Manage and deepen relationships with a book of clients, identify service and recordkeeping opportunities, develop relationship and retention plans, resolve complex client issues, coordinate cross-team service solutions, and use Vanguard product knowledge to strengthen client outcomes.

The Senior Data Engineer will design and implement data pipelines for fraud prevention, collaborate with teams, and ensure high quality code while participating in agile methodologies.

The Head of Corporate Finance, Data & AI defines strategy and leads initiatives to integrate data, analytics, and AI into Finance, aiming to enhance decision-making and efficiency.

The role involves leading fraud analytics projects, analyzing data, ensuring alignment with goals, and developing strategic relationships for risk mitigation.

Lead cybersecurity control testing and assurance, enhance continuous controls monitoring through automation and analytics, identify and track remediation for control gaps, develop metrics and dashboards, partner with stakeholders on security policy and compliance, and support control modernization and GRC transformation.

Design and deliver analyses, visualizations, and dashboards to translate complex sales and distribution data into actionable insights. Build and maintain sustainable data products, ensure data accuracy, and manage recurring reporting. Partner with stakeholders to define requirements, lead projects to delivery, and support compensation, lead generation, and performance evaluation initiatives.

Lead design and implementation of scalable data solutions: build ETL and data pipelines, ensure data quality and performance, translate business needs into technical designs, mentor junior engineers, test and deploy data releases, and integrate cloud-native analytics solutions.