• Perform full-scope validations and periodic reviews of financial and risk models to assess conceptual soundness, data integrity, performance, and governance • Design and implement model test plans, including reusable code and analytical tools to support future validations • Partner with business units to monitor ongoing model performance and ensure alignment with expectations • Collaborate with stakeholders to support adherence to model development and implementation standards • Contribute to model governance activities, including model inventory, risk rating, and tracking across the bank • Prepare clear, thorough validation reports and presentations for senior leadership • Maintain detailed documentation and track progress on model risk initiatives • Stay current on industry trends, regulatory expectations, and emerging practices in model risk management

• Be a trusted advisor, deeply understanding the customer’s business challenges and proactively address their evolving needs, all while making a lasting impact at the highest levels of business • New account development and/or expanding existing accounts through maintaining revenue stream through successful renewal of existing business, and cross-sell and up-sell of new opportunities in a dedicated set of D&B solutions within an established portfolio of clients • Map Dun & Bradstreet’s solutions to customer needs, ensuring a deep understanding of how our solutions can address specific business challenges, while demonstrating subject matter expertise • Contribute to account-specific strategy by identifying customer needs through meeting with key influencers and stakeholders across the client organization • Demonstrate product capabilities, overcome objections and create a customer-specific buying vision • Drive credibility by combining use case expertise with vertical experience to demonstrate compelling success stories that will help drive business outcomes for customers • Act as a bridge between customers and product development teams, conveying feedback and insights that can inform product enhancements and innovation • Maintain consistent and accurate data in SFDC to support territory, account planning and forecasting • Actively participate in Account Planning, Business Reviews, Quarterly Solutions reviews as required • This role is intended for a professional who has wide-ranging experience

• Implement the end-to-end data and AI governance roadmap, defining policies, standards and roles (Data Owners/Stewards), aligned with DAMA-DMBOK frameworks. • Guide junior and mid-level analysts and Analytics Engineers in executing governance activities. • Operate the data catalog (Unity Catalog / OpenMetadata) and manage access (RBAC), ensuring the infrastructure supports governance. • Ensure Data and AI Governance documentation and its adoption across data-consuming teams. • Establish observability frameworks, cost management (FinOps) in the analytics sandbox, SLAs and metrics (KPIs) to support leadership decision-making. • Lead regulatory and privacy initiatives (BACEN, LGPD), support audits and ensure the quality and lineage of regulatory data. • Define governance standards for predictive and generative AI, ensuring ethical and responsible use. • Drive data literacy and the self-service BI model.

• Identify, organize, drive, supervise daily tasks and projects for the Americas embedded program. Work with the client and their direct reports to develop and execute projects. • Be the ultimate subject matter expert in product development and quality and will ensure projects are completed in a timely manner to the high standards of the program. • Prioritize team responsibilities in line with the client’s mission and responsibilities. • Leads the scheduling team, providing guidance and mentorship to ensure optimal performance. • Identify new requirements and embrace developing/new responsibilities. • Adjust procedures, policies, and business practices as needed. • Identify programmatic and training needs of the team and appropriately communicate these to either the client manager or Control Risks as appropriate. This may include, but is not limited to, staffing requirements, vendor tool needs, training, conference/event attendance, etc. • Model best business practices and professional behavior; they provide feedback and guidance to Analysts on business practices and professional behavior. • Work on complex cases for the investigations team.