Description
The Engineering team is driving multiple complex, enterprise-wide initiatives to build RBCs 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.<br/><br/>What will you do?<br/><br/>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.<br/><br/>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.<br/><br/>Architect, build, and own dashboards, scorecards, and executive reporting frameworks; define standards for how data products are presented to senior leadership.<br/><br/>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.<br/><br/>Lead production readiness reviews, post-implementation validation, and continuous improvement cycles to ensure solutions are accurate, stable, and performing at scale.<br/><br/>Mentor and guide junior analysts and engineers; establish best practices for analytics engineering, data quality, and AI-ready data design across the team.<br/><br/>What do you need to succeed?
Must have:<br/><br/>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.<br/><br/>Proven ability to lead complex, cross-functional data initiatives from ambiguous requirements through production delivery.<br/><br/>Deep expertise in data mapping, acceptance criteria definition, UAT leadership, and production validation for analytics or data platform solutions.<br/><br/>Expert-level SQL: complex multi-table joins, window functions, query optimization, and performance tuning on large enterprise datasets.<br/><br/>Strong understanding of AI/ML workflows and how data platforms must be designed to support feature engineering, model training pipelines, and real-time inference.<br/><br/>Hands-on knowledge of Kafka, schema registries, and event streaming concepts — including schema evolution, data contracts, and event quality validation.<br/><br/>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.<br/><br/>Exceptional stakeholder communication skills: able to translate technical complexity into clear narratives for senior and executive audiences.<br/><br/>Nice-to-have:<br/><br/>Domain experience in financial services — banking, credit data, or regulatory reporting.<br/><br/>Familiarity with LLM/GenAI integration patterns: RAG pipelines, embedding workflows, or AI-assisted analytics.<br/><br/>Experience with GitHub Actions and CI/CD for data pipelines.<br/><br/>Knowledge of Debezium, GraphQL, or ELK Stack (Elasticsearch / Logstash / Kibana).<br/><br/>Hands-on experience with cloud-native platforms: OpenShift, Kubernetes, S3 object storage.<br/><br/>MongoDB experience: querying semi-structured data, aggregation pipelines for analytics use cases.<br/><br/>Proficiency with BI tools (Tableau, Power BI) and data quality frameworks for trusted, governed reporting.<br/><br/>What’s in it for you?<br/><br/>A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation and pension plan.<br/><br/>Leaders who support your development through coaching and managing opportunities.<br/><br/>Work in a dynamic, collaborative, progressive and highly performing team.<br/><br/>Opportunities to do challenging work, making a difference and lasting impact on communities.<br/><br/>Enjoy a comfortable work environment with the option to dress casually.<br/><br/>Network and build lasting relationships with developers from diverse backgrounds from across Canada and the world.<br/><br/>#J-18808-Ljbffr
