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Client Data Manager Jobs in Ontario (NOW HIRING)

... management, root cause analysis, and remediation. * Ensure our data practices comply with global and regional regulations, including data privacy, data residency, and client confidentiality ...

... management, root cause analysis, and remediation. * Ensure our data practices comply with global and regional regulations, including data privacy, data residency, and client confidentiality ...

... related client escalations, especially around accuracy or coverage gaps Provide data-driven ... management, data engineering, or analytics leadership roles, with at least 5 years in a senior ...

As a Manager, Client Success you'll be managing Clients that are of strategic importance, working ... LOCATION AND WORK ELIGIBILITY This role supports a Client with strict data security, residency, and ...

As a Manager, Client Success you'll be managing Clients that are of strategic importance, working ... LOCATION AND WORK ELIGIBILITY This role supports a Client with strict data security, residency, and ...

As a Manager, Client Success you'll be managing Clients that are of strategic importance, working ... LOCATION AND WORK ELIGIBILITY This role supports a Client with strict data security, residency, and ...

The Data Conversion Lead is responsible for coordinating all activities related to the integration ... management * Career Stability: Join a team with a strong order book and major long-term client ...

The Data Conversion Lead is responsible for coordinating all activities related to the integration ... management * Career Stability: Join a team with a strong order book and major long-term client ...

Showing results 21-40

Client Data Manager information

What are the key skills and qualifications needed to thrive as a client data manager?

To thrive as a Client Data Manager, you need strong analytical abilities, attention to detail, and a solid background in data management or a related field, often supported by a relevant degree. Proficiency with data management systems such as SQL databases, CRM platforms, data visualization tools, and certifications like CDMP (Certified Data Management Professional) are commonly required. Excellent communication, problem-solving skills, and the ability to collaborate with both technical and non-technical stakeholders help set top performers apart. These skills ensure accurate client data handling, compliance with data standards, and effective support for business decision-making.

Are client data managers in demand?

Client data managers are in demand due to the increasing importance of data accuracy and security in organizations. They typically require skills in data management tools, database systems, and compliance standards, making their role essential across many industries. Job growth for data management professionals is expected to be steady as companies prioritize data-driven decision-making.

What are the main challenges a client data manager faces when ensuring data accuracy across multiple platforms?

Client Data Managers often work with diverse data sources and platforms, making it challenging to maintain consistency and accuracy. Common obstacles include integrating data from legacy systems, managing frequent updates, and ensuring compliance with data protection regulations. To address these challenges, Client Data Managers collaborate closely with IT, compliance, and operations teams to implement standardized data management processes and regular audits. Developing strong communication and analytical skills is key to navigating these complexities and ensuring reliable client information.

What is a client data manager?

Client Data Managers are professionals responsible for overseeing the collection, storage, and analysis of client-related data within an organization. They ensure data accuracy, security, and compliance with relevant regulations, while also facilitating data-driven decision-making. Client Data Managers often collaborate with IT, sales, and marketing teams to optimize data processes and enhance client relationships.
What job categories do people searching Client Data Manager jobs in Ontario look for? The top searched job categories for Client Data Manager jobs in Ontario are:
What cities in Ontario are hiring for Client Data Manager jobs? Cities in Ontario with the most Client Data Manager job openings:
Infographic showing various Client Data Manager job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Senior Manager Culture and Conduct Data and Analytics

Royal Bank of Canada

Toronto, ON • Hybrid

Full-time

Posted 16 days ago


Job description

Job Description

What is the opportunity?

The Senior Manager Culture and Conduct Data and Analytics will play a key role in designing, developing, and maintaining dashboards, reports, and data pipelines to support data-driven decision-making for identifying sales practices and advisor activities that do not align with the target client experience. You will leverage advanced analytical methodologies to better understand the implications of data, identify trends, anticipate future behaviors, perform pattern matching, and ensure analytical capabilities are deployed effectively. This role requires a strong blend of business intelligence, data engineering, and analytical skills to ensure data is efficiently processed, stored, and visualized. Partner with business and technology teams to proactively adapt methodologies to new risks, emerging technologies, and changes in role or incentive design.

Additionally, this role requires exceptional communication and relationship-building skills to translate complex insights into actionable recommendations, fostering collaboration and trust across stakeholders. A proactive and keen mindset is critical to anticipate evolving business needs, drive continuous improvement in monitoring frameworks, and champion data-driven projects within the organization.

Please Note: The role is based in Toronto and successful applicant must travel 4 days / week to our Toronto Office Location.

What will you do?

  • Responsible for the development, validation, documentation, and delivery of routine Culture & Conduct (C&C) reports to monitor and manage conduct related risks using Tableau.

  • Develop and maintain scalable data pipelines using Teradata SQL, Python, Hadoop, Spark, and AWS to ensure data integrity and efficient processing.

  • Collaborate and develop relationships with cross functional business teams and liaise across various business units to define business requirements.

  • Responsible for automation of data processing and visualization workflows, including the creation, monitoring, and management of new scheduled tasks.

  • Demonstrate the proven ability to detect data integrity issues, perform root cause analysis and communicate the issues to cross functional audiences.

  • Work with other data scientist(s) to support design and development of ML algorithms that support key use cases.

  • Build on the knowledge of subject matter experts (within Retail Banking and across the enterprise) to analyze structured and unstructured data (e.g. advisor activities including client interactions, sales activities and outcomes, banking transactions, etc) and identify patterns consistent with poor practices / strong practices.

  • Support the team's transition to cloud-based data solutions by evaluating and implementing cloud services for scalable and efficient data processing.

  • Oversee Tableau Server administrations, ensuring high availability, performance optimization, security, and governance of dashboards and data sources.

  • Translate complex data into clear insights and present findings to senior management and executives to support data-driven decision-making.

  • Support the enhancement of data infrastructure by collaborating with partners to implement proof-of-concept (POC) initiatives and facilitate the onboarding of new capabilities.

  • Support management and team members with gathering insights for ad hoc requests.

  • Maintain documentation, ensure data security compliance, and promote best practices in BI and data engineering within the organization.

What do you need to succeed?

Must-have:

  • Demonstrated ETL and data modeling capabilities, and programming experience with large databases/datasets (using tools such as Python and Teradata SQL).

  • Advanced proficiency in SQL.

  • Comfortable working with moderately sized SQL/Python codebases (preferably using Visual Studio Code), debugging and tracing execution of SQL/Python code from end to end, and development practices to enable testability and maintainability.

  • Minimum 3 years of working experience in a financial institution with familiarity of Canadian banking products and services

  • Demonstrated data and analytics ability. Awareness of machine learning models. Analytical and problem-solving skills, strong business acumen, and a strategic mindset

  • Ability to articulate the needs of multiple stakeholder groups and shape an approach based on those inputs.

  • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders

  • Advanced proficiency in developing reports using data visualization tools (most notably Tableau).

Nice to have:

  • Familiar with cloud computing platforms, particularly AWS, and data warehousing solutions like Snowflake.

  • Experience working with machine-learning algorithms.

  • Experience with data science and automation platforms such as Dataiku.

  • Experience in big data integration tools, including EDL, Spark/Hadoop, and Trino.

What's in it for you?

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.

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • Opportunities to do challenging work

Job Skills

Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Pandas Python Library, Predictive Analytics, Python (Programming Language), Python Software Development, SQL Database Queries, SQL Query Development, Statistical Analysis

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-16

Application Deadline:

2026-08-07

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

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.

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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.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME