Senior Manager Culture and Conduct Data and Analytics at Royal Bank of Canada | Toronto, CA | Rezi

Senior Manager Culture and Conduct Data and Analytics at Royal Bank of Canada

Senior Manager Culture and Conduct Data and Analytics

Royal Bank of Canada · Toronto, CA

1 weeks ago

Senior Manager Culture and Conduct Data and Analytics

Royal Bank of Canada · Toronto, CA

10 days ago
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About the Role

The Senior Manager Culture and Conduct Data and Analytics will design, develop, and maintain 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 understand data implications, 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. Partner with business and technology teams to proactively adapt methodologies to new risks, emerging technologies, and changes in role or incentive design. Exceptional communication and relationship-building skills are needed 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.

Responsibilities

  • Develop, validate, document, and deliver routine Culture & Conduct (C&C) reports using Tableau.
  • Develop and maintain scalable data pipelines using Teradata SQL, Python, Hadoop, Spark, and AWS.
  • Collaborate with cross-functional business teams to define business requirements.
  • Automate data processing and visualization workflows, including creation, monitoring, and management of scheduled tasks.
  • Detect data integrity issues, perform root cause analysis, and communicate findings to cross-functional audiences.
  • Support the design and development of ML algorithms with other data scientists.
  • Analyze structured and unstructured data to identify patterns consistent with poor or strong practices.
  • Support the team’s transition to cloud-based data solutions by evaluating and implementing cloud services.
  • Oversee Tableau Server administration, ensuring high availability, performance optimization, security, and governance.
  • Translate complex data into clear insights and present findings to senior management and executives.
  • Support the enhancement of data infrastructure by implementing proof-of-concept (POC) initiatives.
  • Gather insights for ad hoc requests.
  • Maintain documentation, ensure data security compliance, and promote best practices in BI and data engineering.

Requirements

  • Demonstrated ETL and data modeling capabilities.
  • Programming experience with large databases/datasets using Python and Teradata SQL.
  • Advanced proficiency in SQL.
  • Comfortable working with moderately sized SQL/Python codebases, debugging, and tracing execution.
  • 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.
  • 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, notably Tableau.

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
  • Teradata SQL
  • Hadoop
  • Spark
  • AWS
  • Tableau
  • Visual Studio Code
  • Snowflake
  • Dataiku
  • EDL
  • Trino

Location

  • Toronto, Canada

Work Type

  • Full time
  • Onsite (4 days/week)

Experience Level

  • Senior Manager
  • Minimum 3 years of working experience in a financial institution

Benefits

  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Opportunities to do challenging work

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.