Senior Manager, Data Management

Rbc Capital Markets
Minneapolis, MN, United States
6 days ago
Apply on jobs.localjobnetwork.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$90,000.0 - $160,000.0
Working hours
Regular working hours

Tech stack

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
+2 more
Collibra Data Management

Job 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.

Requirements

  • 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

Benefits & conditions

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Flexible work/life balance options
  • Opportunities to do challenging work

The expected salary range for this particular position is $90,000-$160,000, depending on your experience, skills, and registration status, market conditions and business needs.

You have the potential to earn more through RBC’s discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.

RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

  • Drives RBC’s high-performance culture
  • Enables collective achievement of our strategic goals
  • Generates sustainable shareholder returns and above market shareholder value

About the company

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.localjobnetwork.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:15 min

Three pillars of the data and AI strategy

Dominik Schneider Dominik Schneider · World Congress 2025

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

1:38 min

Royal Bank of Canada document processing capabilities deployment

Mohak Chadha Mohak Chadha · World Congress 2026 Europe

3:30 min

Approaching data problems with an engineering and strategy mindset

Becky Gandillon · LIVE

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all