Manager, Data, Reporting & Analytics
Webster BankAbout the role
If you’re looking for a meaningful career, you’ll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster’s values, these set us apart as a bank and as an employer.
Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!
The role of Chief Controls Office – Manager, Data Reporting & Analytics at Webster Bank will play a critical role to enhance our centralized data reporting and analytics function to promote and strengthen the bank’s control environment. This individual will fulfill a vital role for data collection, ensuring accuracy, and assembling required artifacts to support a compliant and governed data reporting environment. This role will support our build out of a centralized consistent and accurate reporting, across Front-Line Control Office functions. This role will conduct root cause analysis, identifying trends and correlations, working with complex data in a highly matrixed environment, ensuring compliance with internal policies, regulatory requirements, and industry best practices. The ideal candidate will bring expertise in Data Analytics and Aggregation, along with Management and Regulatory Reporting within the banking sector. This individual will also be involved with transformational initiatives and the delivery of critical, large-scale, complex, high-visibility, regulatory remediation programs.
Responsibilities
• Leadership & Strategy: Lead from the front and execute the strategy for the Front-Line Data Controls Office function within the bank, aligning with the vision and objectives set by the Lead Data Controls Officer and Chief Controls Officer.
• Controls Oversight & Design: Lead from the front and execute the design, implementation, and maintenance of an effective internal data and reporting control framework across the enterprise. Ensure compliance to the framework to mitigate risks and enhance the bank’s operational resilience.
• Quality Assurance Program: Support data gathering for reporting outcomes of the quality assurance (QA) program who identify the effectiveness of controls and adherence to regulatory requirements.
• RSCA Program Management: Support data gathering for reporting outcomes of the RSCA processes across all Front-Line Units (FLUs) to ensure it aligns with regulatory requirements and industry best practices. Conduct data gathering for RCSA fact pack and automation efforts to enhance the efficiency and accuracy of the data gathering process. Define and track key risk indicators (KRIs) and key control indicators (KCIs) that feed into the RCSA fact pack. Interpret data for RCSA reporting purposes, identifying relevant risk indicators, control measures, and compliance-related information. Drive iterative improvements in the data gathering and RCSA reporting process, with a focus on leveraging new tools or methodologies.
• Risk Assessment: Support data gathering for reporting outcomes of the risk assessment workshops and activities to create visibility of potential risks and control gaps. Analyze risk data to assess the likelihood and impact of risks on the bank’s operations. Analyze large datasets to identify risk trends, gaps, or areas of improvement.
• Control Testing: Support data gathering for reporting outcomes of the risk-based control testing programs which evaluates the effectiveness of internal controls across all business units.
• Reporting & Communication: Execute data gathering to support centralized and comprehensive reports for senior management, regulatory bodies, board committees, and Front-Line Units detailing control effectiveness, quality assurance outcomes, and action plans for identified gaps. Ability to think analytically and critically, identifying potential risks or issues in data sets. Design and optimize workflows to enhance the efficiency and accuracy of the data gathering process.
• Stakeholder Engagement: Highly matrixe
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