Vancouver:
Director - $160,000 to $240,000
Senior Manager - $128,000 to $192,000
Responsibilities
Partner with Tax & Law leadership to define and execute a data strategy that advances service delivery, managed services, growth, and new market offerings
Identify, prioritize, and shape data-enabled opportunities, use cases, and solutions aligned with business priorities, client needs, and the long-term technology and platform strategy
Lead discovery with business teams to understand business problems, processes, available data, information gaps, and opportunities, and articulate the art of the possible through data
Work hands-on with data to explore opportunities, perform analysis, test hypotheses, identify patterns and insights, develop prototypes, and demonstrate potential solutions
Experiment with new data sources, data models, analytical approaches, tools, and technologies to quickly assess feasibility, validate ideas, and determine potential business value
Requirements
Bachelor’s degree in Data Science, Analytics, Computer Science, Engineering, Information Systems, Business, or a related field
Leverage advanced analytics to surface strategic insights and support Questrade’s growth and customer‑centric solutions across a multi‑product, multi‑channel financial services environment.
Compensation
Base salary range: $120,000 - $130,000
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.
Responsibilities
Supporting Strategy and Corporate Development team with data requests to inform decision making
Collaborating on customer segmentation and profitability analysis
Contributing to set up and inputs for customer / product profitability models
Building and refining predictive models
Identifying opportunities to embed data and analytics throughout strategy and new product development process on an ongoing basis
Lead analytics function at senior level, develop comprehensive strategies, oversee large projects, mentor senior managers, ensure alignment with objectives.
Responsibilities
Build trusted relationships with client executives and senior business, data, digital, operations, engineering, supply chain, and technology leaders.
Independently lead steering committees, quarterly business reviews, transformation workshops, roadmap discussions, and executive working sessions.
Translate business priorities and operational challenges into analytics, data, AI, and digital transformation initiatives.
Present complex findings, recommendations, and investment cases through clear executive storytelling and data-driven narratives.
Act as the primary client-facing leader for strategic engagements and maintain alignment across client and EXL leadership teams.
Lead data strategy and enable data‑enabled solutions for EY’s Canada Tax & Law Technology Group, driving end‑to‑end data solutions and scaling services across the organization.
Compensation
Director: $160,000 to $240,000
Senior Manager: $128,000 to $192,000
Responsibilities
Partner with Tax & Law leadership to define and execute a data strategy
Identify, prioritize, and shape data‑enabled opportunities and use cases
Lead discovery with business teams to understand problems and data gaps
Work hands‑on with data to explore opportunities, perform analysis, test hypotheses
Experiment with new data sources, models, analytical approaches, tools, and technologies
Requirements
Bachelor’s degree in Data Science, Analytics, Computer Science, Engineering, Information Systems, Business
A critical role focused on designing, building, and maintaining scalable data infrastructure and solutions that enable the collection, storage, and processing of large volumes of data across the organization.
Compensation
Minimum Starting Salary: CAD $112,000
Responsibilities
Design, develop, and optimize scalable data pipelines for ingesting, transforming, and distributing data across multiple system.
Build and maintain ETL processes to prepare, cleanse, and transform data from diverse sources (databases, APIs, files, IoT, applications)
Automate workflows to improve reliability and reduce manual intervention
Ensure pipelines are fault-tolerant, performant, and aligned with data governance standards
Configure and manage Azure-based data platforms and services for data processing and storage
This role supports the FCRM Data Strategy and Management team in designing, implementing, and maintaining data management capabilities and controls aligned with Enterprise Data Management Office (EDMO) requirements, focusing on data lineage, critical data elements, data flows, data quality, and SQL-based analysis.
Compensation
$96,900 - $136,800 CAD
Responsibilities
Design, implement and maintain data management processes and controls (e.g. data lineage, data supply chain, data quality controls, metadata, reference data, data retention and disposition etc.) for critical and business data elements.
Analyze, develop, validate and maintain end-to-end data lineage and data flows across source systems, databases, data pipelines, transformations, interfaces and downstream AML applications.
Analyze data structures across relational databases and data platforms, including tables, fields, relationships, joins and transformations to understand how data is sourced, processed and consumed across AML capabilities.
Define, develop and implement business and technical data quality rules, translating business and regulatory requirements into measurable data quality criteria and appropriate validation logic.
Perform root-cause analysis of complex data issues by tracing data across source systems, transformations and downstream applications.
Requirements
Undergraduate degree or equivalent relevant experience
This role supports the FCRM Data Strategy and Management team in designing, implementing, and maintaining data management capabilities and controls aligned with Enterprise Data Management Office (EDMO) requirements, focusing on data lineage, critical data elements, data flows, data quality, controls, and SQL-based analysis.
Compensation
$96,900 - $136,800 CAD
Responsibilities
Design, implement and maintain data management processes and controls (e.g. data lineage, data supply chain, data quality controls, metadata, reference data, data retention and disposition etc.) for critical and business data elements.
Analyze, develop, validate and maintain end-to-end data lineage and data flows across source systems, databases, data pipelines, transformations, interfaces and downstream AML applications.
Analyze data structures across relational databases and data platforms, including tables, fields, relationships, joins and transformations to understand how data is sourced, processed and consumed.
Define, develop and implement business and technical data quality rules, translating business and regulatory requirements into measurable data quality criteria and appropriate validation logic.
Perform root-cause analysis of complex data issues by tracing data across source systems, transformations and downstream applications.
Requirements
Undergraduate degree or equivalent relevant experience
Staff-level role focused on leading design and evolution of modern data platform architecture, implementing advanced architectural patterns, and managing enterprise-scale distributed systems infrastructure.
the salary range for this role is $173,000.00 - $216,000.00 + target bonus.
Responsibilities
Lead the design and evolution of our modern data platform architecture, ensuring it remains scalable, available, and performant.
Apply in-depth knowledge of advanced architectural patterns—such as Event Driven, CQRS, event sourcing, and Saga patterns—to solve complex data challenges.
Develop, document, and communicate standard methods and processes to be utilized within our technology stack, including dbt, Airflow, Snowflake, Kafka, and traditional ETL.
Act as a key partner to senior leadership on strategic data projects and build strong working relationships with other IT leaders by providing technical acumen and thought leadership.
Architect and manage enterprise-scale data platforms while setting best practices for development teams, including security, privacy, monitoring & alerting, and CI/CD.
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