- Location
- 16 YORK ST:TORONTO, Canada
- Type
- Full-time
- Department
- Security
- Seniority
- Lead
- Closing date
- Today
- Source
- Workday
Description
Job Description
What is the opportunity?
In this role, you will be the orchestrator of our data acquisition strategy, enabling seamless integration of new data sources into our platform. As the Lead, Business Systems Analyst, you'll bridge business requirements with technical implementation, ensuring that data flows efficiently through our ETL pipelines and delivers meaningful insights across our AI ecosystem. You'll multi-task across multiple concurrent projects, driving strategic data initiatives that expand our platform's capabilities.
What will you do?
Lead the strategic expansion of our data platform and AI capabilities
Work at the intersection of business and technology, amplifying impact across the organization
Develop deep expertise in data strategy and platform evolution
Facilitate data acquisition initiatives, working closely with business stakeholders to gather requirements and validate use cases
Partner with developers to design and optimize data pipelines, removing blockers and ensuring smooth implementations
Establish metrics frameworks and rules that unlock insights from newly acquired data
Provide oversight into our AI ecosystem, ensuring data quality and consistency across all ingestion points
Manage multiple concurrent data acquisition projects, prioritizing and orchestrating across parallel workstreams
Conduct data quality reviews and establish best practices for ongoing data governance
Communicate outcomes, challenges, and recommendations to executive stakeholders
What do you need to succeed?
Must-have
7+ years in business systems analysis, data strategy, or analytics roles
Proven ability to manage multiple complex projects simultaneously
Strong understanding of ETL processes and data pipeline architecture
Excellent facilitation and stakeholder management skills
Experience translating business needs into technical requirements
Demonstrated ability to work in cross-functional teams with developers and data engineers
Nice to Have:
Familiarity with AI/ML ecosystem and applications
Knowledge of data governance and quality frameworks
Background in platform or data strategy roles
What's in it for you?
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work
Opportunities to take on progressively greater accountabilities
#LI-POST
#TECHPJ
Job Skills
Critical Thinking, Cyber Security Management, Decision Making, Detail-Oriented, Information Security Management, Information Technology Security, Interpersonal Relationship Management, IT Security Architecture, Performance Management (PM)Additional Job Details
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
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.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.