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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Data Management - **Company:** Rbc Capital Markets - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $90,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Architecture, Data Cleansing, Data Dictionary, Data Governance, Enterprise Information Management, Information Management, Information Security Management, Meta-Data Management, Informatica Powercenter, Snowflake, Data Strategy, Collibra, Data Management - **Published:** August 22, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88119161/1 ## About the Role * Strong knowledge and previous experience working with data management, governance and risk concepts and capabilities including data dictionaries, lineage, metadata management, data quality and controls, and issue remediation * Previous experience in Wealth Management, ideally in data governance or risk management role * Excellent communication skills (written and verbal) including meeting facilitation and presentation skills, with a proven track record of simplifying and distilling complicated messages * Strategic thinker with proven ability to drive results in a cross-functional environment * Strong organizational awareness, demonstrated ability to anticipate and communication risks and issues and escalate when required * Proven collaboration, impact, influence and change management capabilities across business, IT, and functions Nice-to-have * Experience/knowledge of regulatory reporting requirements for US financial services organizations * Project/program management, change management, and/or business analysis experience * Working knowledge of the data management tools including Collibra, Informatica, Snowflake and Data Quality tools, Conflict Management, Data Architecture Development, Data Governance, Data Privacy, Decision Making, Information Management, Information Security Management, Interpersonal Relationship Management, Risk Management, Strategic Thinking ## Description The WM Americas Data Management Office (DMO) is establishing effective data governance capabilities that balance defensive and offensive governance to comply with policy and regulatory expectations while enabling USWM to leverage data and AI to grow the business. The Senior Manager, Data Management is a strategically important role in the WM Americas DMO that collaborates with business stakeholders, IT, the Enterprise CDO, and other Data Management Offices across RBC to execute on data governance standards of care for high-risk data to comply with the Enterprise Information Management (IM) Risk Policy and extend the standards of care to other high value data assets. You will be responsible for planning, management, and execution of foundational processes to implement data management standards of care. The role will have exposure to many elements of data management and governance including data risk management, data accountability, metadata management, lineage and sourcing, data quality, and issue management and resolution. What will you do? * Grow and leverage relationships with stakeholders across Business Units, IT and Enterprise Functions to establish effective and sustainable data management and governance practices across USWM, in alignment with Global WM data governance strategy. * Assess the current state maturity of the USWM's data governance capabilities (accountability, metadata management, lineage, data sourcing, data quality and controls) according to our enterprise data risk policy and standards and drive improvements to our maturity level through implementation of data standards of care * Champion and effect change with cross-functional partners in adopting agile, modern, non-invasive governance practices and processes that satisfy regulatory and audit requirements, including refresh and attestation processes * Assess and curate information in the data governance and metadata management platform, manage large changes in existing tooling, and recommend new tooling as required * Lead continuous improvement projects to elevate current artefacts and develop scalable processes as we extend into new areas of data (e.g. AI use and governance) with business partners * Develop engagement models and frameworks when working with new horizontal teams such as Program Management Offices, Business Analysis COE, Regulatory, Control Testing teams, Operations etc. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Big Business, Big Barriers? 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