Senior Manager, Data Quality Oversight

Job Description

What is the Opportunity?

EIMR Mission: To provide best-in-class non-financial risk management expertise for Information Management Risk (including Reporting Risk) across the enterprise to protect RBC and our clients.

Related EIMR Goals
• Support the Director, Data Quality Assurance and Analytics (DQAA) to develop a sustainable information management risk program to provide independent oversight and effective challenge.
• Assist the Director, DQAA in conducting effective review & challenge and continuous monitoring on the First Line of Defense (1LoD) Data Quality Assurance testing and reporting.

What will you do?

• Support the Director, DQAA to establish a framework for conducting effective review & challenge and continuous monitoring on the First Line of Defense (1LoD) Data Quality Assurance testing and reporting

• Engage with key stakeholders to gather information for identification of emerging data quality/gaps risks in daily operation of the business. Communicate risks to stakeholders in structured, meaningful manner

• Lead the development of 2LoD processes for ownership, accountability, metrics and analytics required for the scope of work including defining the engagement model across all key parties involved

• Execute data quality review and oversight activities using a risk-based approach with a defined scope for key regulatory reports

• Engage in communication with Internal Audit on relevant 2LoD activities

• Facilitate discussions of complex issues, resolve ambiguity, and reach agreement on resolution and remediation plans

• Assist in the development of the communication strategy and presentation materials and the communications with key stakeholders on 2LoD project activities

• Provide functional expertise to assist project managers in coordination and execution of 2LoD tasks, status and management of project issues, risks and dependencies

• Escalate operational risks and issues and control deficiencies on a timely basis

• Assist in the creation and development of sustainable templates for documenting the methodology used, capturing assessment results, communicating findings for 2LoD DQAA oversight activities

• Assist in defining and managing the evidential requirements for supporting the execution of 2LoD data governance and oversight activities

• Assist in defining the interaction and reliance model with Internal Audit regarding the review and challenge on DQAA approach for key regulatory reports

• Assist in defining the interaction and reliance model with Internal Audit regarding the review and challenge on 1LoD Data Quality/Gaps remediation processes to Key U.S. regulatory reports

• Proactively contribute to the build-out of EIMR 2LoD services, including development of content knowledge and facilitation of training sessions

• Ensure appropriate information is shared timely with impacted EIMR leads and resources in relation to 2LoD activities over U.S. regulatory reports

• Provide focus and clarity in establishing individual goals, driving performance management, supporting career development and rewarding strong performance

• Support other ad hoc CUSO data risk management activities as needed

What do you need to succeed?

• Bachelor's Degree or equivalent experience.

• 7+ years of progressive experience managing cross function initiatives to drive policy, regulatory, and business change in complex organizations.

• Proficiency dealing with Data Quality remediation with experience in overlapping and cross-over issues across functions and data domains.

• Strong knowledge of banking and trading data including front-to-back data flows and processing, usage, and reporting

• Experience in developing Data Architecture/Management/Governance solution for major financial institution

• Excellent collaboration and relationship management skills with the ability to manage ambiguity to drive impactful outcomes.

• Excellent oral communication and presentation skills with extensive experience facilitating discussion and building consensus.

• A genuine interest or passion for data management/data governance

• Proficient in project management including participating in large scale data initiatives

• Strong technical/analytical background

• Knowledge of Risk Management and data management operations such as critical data elements, data lineage, data accuracy and completeness and data controls

• Understanding of technical data concepts such as data ingestion, data warehouse, data lakes, master refe