Senior Manager – Capacity & Data Science
| Company | Royal Bank of Canada |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Deep curiosity to research and ask questions, and confidence to challenge the status-quo
- A knack for problem solving, and insatiable curiosity
- History of simplifying the complicated and aligning technical work to business impact & outcomes
- Demonstrated ability to partner cross-functionally in complex organizations
- Hands-on experience with data engineering and industry leading data technologies, especially SQL and Python
- Experience in working with large dataset and query optimization
- Experience in data mining and statistical modelling
- Ability to effectively communicate and write technical documentation
- Strong analytical skills with the ability to structure data to be flexibly transformed into actionable business insights
- Working knowledge of reporting and data visualization tools (e.g. Tableau, Qlik, PowerBI…)
Responsibilities
- Partner with capacity planners, role design, physical networks, distribution strategy, distribution analytics and the broader P&CB data community
- Harness the existing data ecosystem driving consistency and flexibility to support next generation capacity models to predict and optimize capacity for maximum balance of productivity, sales power and client satisfaction
- Navigate within our systems and data, and solve creatively outside where required, to connect our employees to our clients in effective and expedient ways to support Distribution Transformation
- Research and advise on emerging technologies for adoption by capacity analytics team, and assist with deployment and usage adoption
- Enable automation for repeatable models & governance to support both the regions in execution and the executive leadership team in decisions
- Explore capacity modeling requirements and identify opportunities to deploy pre-designed or customized models for enhanced decision support
Preferred Qualifications
- Broad familiarity with most domains of Computer Science (systems, network, programming, hardware, …)
- Workforce Planning and Capacity Analytics Experience
- Bachelor’s degree or Masters in relevant discipline, or extensive comparable industry experience