Lead Data Analyst

RBC • Toronto, ON

1d • Onsite

About The Position

The Engineering team is driving multiple complex, enterprise-wide initiatives to build RBC's next-generation data platform — one that is AI-ready, scalable, and trusted across the organization. In this senior role, you will serve as a technical lead and strategic partner: shaping how data flows, how AI/ML systems consume it, and how analytics insights reach decision-makers. You will own end-to-end delivery — from requirements through production — while mentoring teams and influencing platform direction.

Requirements

• 10+ years of progressive experience as a data analyst, analytics engineer, or senior business systems analyst — with a track record of delivering at enterprise scale.
• Proven ability to lead complex, cross-functional data initiatives from ambiguous requirements through production delivery.
• Deep expertise in data mapping, acceptance criteria definition, UAT leadership, and production validation for analytics or data platform solutions.
• Expert-level SQL: complex multi-table joins, window functions, query optimization, and performance tuning on large enterprise datasets.
• Strong understanding of AI/ML workflows and how data platforms must be designed to support feature engineering, model training pipelines, and real-time inference.
• Hands-on knowledge of Kafka, schema registries, and event streaming concepts — including schema evolution, data contracts, and event quality validation.
• Deep familiarity with modern data platform architectures: data warehouses, Lakehouses (e.g., Delta Lake, Iceberg), and how they serve both BI and AI use cases.
• Exceptional stakeholder communication skills: able to translate technical complexity into clear narratives for senior and executive audiences.

Nice To Haves

• Domain experience in financial services — banking, credit data, or regulatory reporting.
• Familiarity with LLM/GenAI integration patterns: RAG pipelines, embedding workflows, or AI-assisted analytics.
• Experience with GitHub Actions and CI/CD for data pipelines.
• Knowledge of Debezium, GraphQL, or ELK Stack (Elasticsearch / Logstash / Kibana).
• Hands-on experience with cloud-native platforms: OpenShift, Kubernetes, S3 object storage.
• MongoDB experience: querying semi-structured data, aggregation pipelines for analytics use cases.
• Proficiency with BI tools (Tableau, Power BI) and data quality frameworks for trusted, governed reporting.

Responsibilities

• Lead requirements definition and translate complex business needs into precise technical specifications: data contracts, transformation logic, AI/ML feature requirements, non-functional requirements, and acceptance criteria.
• Drive deep-dive analyses on customer behavior, product performance, campaign outcomes, and channel effectiveness — with a lens toward AI-augmented insight generation and predictive opportunity identification.
• Architect, build, and own dashboards, scorecards, and executive reporting frameworks; define standards for how data products are presented to senior leadership.
• Act as a technical bridge between business stakeholders, engineering, and data science teams — validating source-to-target mappings, enforcing data quality, and ensuring AI/ML pipelines consume reliable, well-governed data.
• Lead production readiness reviews, post-implementation validation, and continuous improvement cycles to ensure solutions are accurate, stable, and performing at scale.
• Mentor and guide junior analysts and engineers; establish best practices for analytics engineering, data quality, and AI-ready data design across the team.

Benefits

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation and pension plan.
• Leaders who support your development through coaching and managing opportunities
• Work in a dynamic, collaborative, progressive and highly performing team
• Opportunities to do challenging work, making a difference and lasting impact on communities.
• Enjoy a comfortable work environment with the option to dress casually.
• Network and build lasting relationships with developers from diverse backgrounds from across Canada and the world.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed