Senior Manager, Data Strategy

RBC•Toronto, ON

1d•Onsite

About The Position

You will lead the development of the strategic roadmap for Fraud Management data, including acquisition of new data sources, maintenance of data catalog, identifying risk and controls, researching and supporting initiatives to onboard data resources/ technologies. You will liaise between Fraud DSA and the RBC data community, maintain awareness of current initiatives, data, tools and technologies, sharing information on Fraud programs/projects, establishing and maintaining connections, understanding team structures, best practices, and leading our engagements with partner analytic practices within the PCO Data Community, PCO Data Management Office(DMO), enterprise Chief Data Office(CDO), Risk Operations. You will collaborate with multiple stakeholders and lead development of decisions sciences and analytics(DSA) brand.

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