Support technology and digital transformation projects across banking, payments, capital markets, and wealth management.
Compensation
The salary range for this position is CAD $23–$25 per hour.
Responsibilities
Support technology and digital transformation projects across banking, payments, capital markets, and wealth management.
Assist with analyzing technical systems, business processes, data flows, and opportunities for improvement.
Contribute to technical research, data analysis, dashboards, prototypes, or other technology-related deliverables.
Collaborate with project teams to gather requirements, document findings, and support the design of practical solutions.
Prepare clear presentations, documentation, and research materials to communicate technical findings and recommendations.
Requirements
Bachelor's or equivalent degree in Computer Science, Information Technology, Software Engineering, Data Analytics, Engineering, Information Systems, or a related field
Nice to have: LLMs
Nice to have: AI tools such as GPT, Codex, Gemini, Copilot
Support the Group Transformation team by exploring, analyzing, and modeling complex data to identify simplification levers, map end-to-end processes (through process mining), and deliver actionable insights to break down silos and drive operational excellence.
Responsibilities
Extract, clean, and structure large volumes of data from heterogeneous Group sources.
Perform Process Mining analyses to map, audit, and optimize end-to-end processes.
Identify operational inefficiencies, bottlenecks, and organizational silos through data.
Develop analytical, descriptive, and predictive models to support strategic transformation decisions.
Collaborate with Process Owners and business teams to translate data insights into concrete action plans.
Requirements
Master’s Degree or Engineering Degree in Data Science, Big Data, Statistics, Business Intelligence, or an equivalent quantitative field.
The Director Business Intelligence will lead the analytics, reporting and insights team for Client Operations and all CAI Contact Centers, harnessing data through analytics to improve customer and employee experience.
Compensation
Compensation includes a base salary in the range of $148,500.00 - $247,500.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Responsibilities
Create the vision and roadmap for Client Operations and CAI Contact Center business analytics function and strategy, projects, and strategic business cases.
Lead a team of people leaders, analysts and/or data scientists to develop and successfully execute data roadmap and initiatives in partnership with cross-functional teams.
Provide insights and own the reporting, data validation, trending and analysis that underpins strategic decision making.
Build insights at scale, elevating data systems and analytics to allow for faster, better, and more systematic insights.
Develop plan to automate key processes and collaborate with Technology partners to execute on plan.
Responsible for supporting staff through the administration, development, and management of computing infrastructure and data science platforms for the Ohio Colleges of Medicine Government Resource Center.
Responsibilities
Plan, research, engineer, and evaluate new technology integrations and solutions
Implement automation tools to streamline containerized application deployment, system administration, and business processes
Identify opportunities to optimize existing business processes through Microsoft technologies
Develop integrated solutions that reduce manual effort and increase operational efficiency
Implement security and compliance requirements in alignment with HIPAA and institutional data governance standards
Requirements
Bachelor's degree in computer science or related field
The Director of Team Support will lead and elevate customer care and Team Support operations, focusing on strategy, leadership, data analysis, and technology implementation.
Responsibilities
Design and execute a multi-year support strategy aligned with broader company goals.
Establish clear service standards, internal compliance guidelines, and standard operating procedures (SOPs).
Build resilient, scalable frameworks to handle seasonal volume surges and multi-channel support demands.
Provide direct leadership, mentorship, and career mapping for support managers and team leads.
Cultivate a transparent, inclusive, and high-accountability team culture focused on continuous development.
Requirements
Bachelor’s degree in Business Administration, Communications, or a related field preferred
Shaping and executing trade marketing strategies for CIS markets to drive growth and strengthen market presence, overseeing trade investments, promotional effectiveness, and in-store execution.
Responsibilities
Lead key initiatives to enhance trade investments, promotional effectiveness, and in-store execution
Perform detailed analysis, budget oversight, and category management
Develop and deploy point-of-sale materials (POSM)
Support new product launches
Collaborate across Sales, Marketing, Finance, regional teams, distributors, and external partners
Requirements
Bachelor’s degree in Marketing
Business Administration
Finance
Qualifications or certifications in trade marketing or category management
Nice to have: Experience operating across CIS markets
Seeking quantitative researchers with expertise in research methods, causal inference, and policy research to conduct studies and support program evaluation across human services like TANF, employment, child welfare, and economic mobility.
Responsible for managing article data, vendor onboarding, pricing, promotions, and communication to support merchandising goals within The Home Depot Canada.
Compensation
The pay range for this position is between $55,100.00 - $62,000.00
anticipated base salary of $100,000 - $135,000 annually
Responsibilities
Collaborate with senior staff to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and econometric analysis
Learning and applying new methods, tools, and technologies, including AI-enabled tools and data visualization platforms
Designing rigorous mixed-methods evaluations, including primary and secondary data collection
Applying innovative research approaches and advanced statistical methods to answer policy-relevant questions
Working with data scientists to link and analyze administrative data
Requirements
Ph.D. or equivalent in economics, psychology, sociology, statistics, data science/data analytics, demography, or a related field
Masters’ degree with coursework in causal inference and demonstrated experience (in lieu of PhD)
Nice to have: AI-enabled tools
Nice to have: data visualization platforms
Nice to have: understanding of federal human services policies and programs
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