Manager Data Science at Dr Bill RBC Ventures

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

03 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Data Visualization, Machine Learning, Predictive Analytics, SQL, Python, Business Intelligence, Data Modeling, Analytical Thinking, Automation, Data Quality, Stakeholder Management, Problem Solving, Data Mining, Statistical Analysis, Artificial Intelligence

Industry

Banking

Description

Job Description What is the opportunity? As a Manager of Data Science, you will contribute to the development and implementation of data solutions for Third-Party Supplier Management. This role offers a unique chance to drive Digital Transformation initiatives, focusing on: Data analytics to inform business decisions Automation to streamline processes Quality management to ensure high standards Operational efficiency to optimize performance Your primary responsibility will be to deliver strategic, timely, and accurate insights to business partners and senior leaders, enabling data-driven decision-making in the Third-Party Supplier Management domain. What will you do? Support the Third-Party Supplier Management office in Data analysis, Automation, and the creation of new data assets Write efficient, production-quality SQL and Python scripts for ETL/ELT processes Utilize cutting edge business intelligence capabilities to optimize business results, define, measure, and deliver insights and mitigate risk. Contribute to the use of advanced AI analytics (e.g. predictive modeling, machine learning) in third party risk management Contribute to the development of analytical models, dashboards and reporting tools that provide actionable insights for management; continuously develop new ways to visualize data and enable self-serve data solutions for stakeholders. Contribute to ad-hoc reporting capabilities to support data requests and business inquiries using advanced PowerPoint skills Leverage various data sources (internal metrics, benchmarking data, Procurement, Risk, Finance, CWM, IT) to produce data visualizations that highlight actionable Third-Party insights in support of strategic business initiatives. Ensure data quality, integrity, and governance across all data sources and systems (i.e. Archer, IIPM, Service Now, iValua, Beeline) Partner with stakeholders across T&O to validate outcomes and ensure requirements are met. Test and validate (unit testing) new and existing reports and analytics for adherence to business and technical requirements Maintenance of the T&O SMO Data Dictionary and contribution to broader TPSS data team initiatives Develop and maintain reliable data pipelines to automate data ingestion, transformation, and delivery Apply data modeling principles (e.g., star/snowflake schemas) to design and organize datasets for reporting and analysis Monitor and validate data quality, completeness, and lineage to ensure trustworthy insights Collaborate with data engineers to optimize data workflows and improve scalability and performance. What do you need to succeed? Must-have Strong technical skills, including 2+ years experience with data warehousing, programming languages (e.g. SQL, Python), and business intelligence tools (e.g. Tableau, Power BI) Advanced Excel skills (i.e., Visual Basic Macros, pivot tables, formulas (ex. IF statements), etc.) Understanding of relational databases and tools (ex. Data Modeling, Microsoft SQL Server). Experience in AI deliverables (Ex. Product Owner/Development/Prompt Engineering) Development of analytical models, dashboards and reporting tools that provide actionable insights for risk and supplier management. Passion for data visualization and demonstrated ability to organize large amounts of data and effectively present metrics and analysis to management Self-starter, ability to progress and deliver initiatives with little direction / oversight. Ability to multi-task and manage multiple initiatives and competing priorities. Strong stakeholder management skills and ability to work in fast-paced environment. Analysis skills - being able to make meaningful conclusions looking at large volumes of data. Understanding business/functional requirements and willingness to take on a product owner role over your work. Strong interpersonal relationship and collaboration skills Strong communication and problem solving skills Ability to think beyond how we do things today and recommend improvements for tomorrow Nice-to-have Vendor risk or relationship management UI and UX, CSS, html 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. Network and build lasting relationships with students from diverse backgrounds from across Canada Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance Leaders who support your development through coaching and learning opportunities Work in a dynamic, collaborative, progressive and highly performing team Ability to make a difference and lasting impact #LI-POST #TECHPJ Job Skills Analytical Thinking, Artificial Intelligence (AI), Big Data Management, Business Insights, Data Explorations, Data Mining, Data Modeling, Data Science, Datasource, Data Storytelling, Data Visualization, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), 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: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2025-11-02 Application Deadline: 2025-11-30 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Inclusion and Equal Opportunity Employment At 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.

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Responsibilities

As a Manager of Data Science, you will develop and implement data solutions for Third-Party Supplier Management, focusing on data analytics, automation, and quality management. Your primary responsibility will be to deliver strategic insights to business partners and senior leaders for data-driven decision-making.