Senior Manager, Data Strategy

Royal Bank of Canada•Toronto, ON

2d•Onsite

About The Position

This role will lead the development of the strategic roadmap for Fraud Management data. Responsibilities include acquiring new data sources, maintaining the data catalog, identifying risks and controls, and researching initiatives to onboard data resources and technologies. The position involves liaising between the Fraud Data Science and Analytics (DSA) team and the broader RBC data community, staying informed about current initiatives, data, tools, and technologies. The role requires sharing information on Fraud programs and projects, establishing connections, understanding team structures and best practices, and leading engagements with partner analytic practices within the PCO Data Community, PCO Data Management Office (DMO), enterprise Chief Data Office (CDO), and Risk Operations. Collaboration with multiple stakeholders and leading the development of the Decision Sciences and Analytics (DSA) brand are key aspects of this opportunity.

Requirements

5+ years' experience in data analytics, reporting, MIS or similar roles, working with large, real-world datasets
Experience working with big data – data analysis, database technologies, cloud computing, analytical software packages, BI / visualization tools (Python, Spark, SQL, Dataiku Tableau, AWS, Snowflake)
Solid knowledge of Fraud products and Fraud-related applications
Strong leadership capabilities and demonstrated ability to impact and influence without direct managerial authority
Comfortable in a high visibility role with interactions across all levels of the organization
Critical thinking and analytical skills with the ability to solve complex problems
Proven ability to think big picture strategy and roll-up-your sleeves to deliver
Experience working in Agile environments
Change Management experience
Ability to collaborate with like-minded team members to establish best practices and identify optimal technical solutions

Nice To Haves

Graduate degree in a quantitative discipline

Responsibilities

Develop Fraud Management’s Data Strategy, understand the needs of the Fraud Data Science and Analytics team, plan a roadmap for future data and technology and sponsor DSA-initiated data projects
Lead the design and execution of Enterprise Information Management Policy for Fraud Management domain and maintain knowledge of policies & procedures related to the Chief Data Office
Understand how fraud data interconnects with other domains throughout the enterprise and supervise the development of the Data Governance Framework, including managing data quality, accessibility, security and compliance
Apply critical thinking to how this framework can be improved and redesigned using innovative methods and technology, and act as Data Steward Delegate for Fraud-managed data
Liaise and lead collaboration with the RBC data community and lead the design and framework execution of all policies and procedures in relation to Risk Management
Lead the design and execution of clarifying DSAs brand, including designing and delivering promotional materials, developing storytelling for key projects and designing and implementing a brand strategy