Top Tech Jobs & Startup Jobs

Leads enterprise architecture strategy for AI, data platforms, analytics, and governance. Designs scalable lakehouse, AI/ML, streaming, integration, BI, and data governance solutions using cloud technologies. Establishes architecture standards, leads reviews and transformation initiatives, guides build-versus-buy decisions, and ensures security and compliance alignment. Partners with executives and cross-functional technology teams, mentors architects, and drives standardization, innovation, performance, and solution quality across AI and data ecosystems.

Designs and builds AI agents and automated workflows using Atlassian platforms and Microsoft 365 Copilot. The role translates business needs into scalable process designs, configures Jira and Confluence, creates automation and knowledge structures, promotes responsible AI use, and supports adoption through documentation, training, demos, coaching, and stakeholder collaboration.

Develop and deploy production machine learning solutions for retail personalization and loyalty programs. Responsibilities include recommender systems, ranking models, offline evaluation, large-scale PySpark feature engineering, ML platform design, cloud training pipelines, agentic AI solutions, workflow orchestration, and production reliability. The role also involves technical leadership through code reviews, documentation, mentorship, and communication of technical and business concepts.

Rotational new graduate program developing analytics expertise across Finance Decision Support, retail analytics, business intelligence, data engineering, finance transformation, and AI development. Responsibilities include creating dashboards and visualizations, analyzing data, building models, improving reporting processes, supporting financial modeling, and developing trustworthy AI-driven workflow automation. The role involves two 12-month rotations and cross-functional collaboration with Finance, Merchandising, and other internal and external teams.

Participate in two 12-month rotations supporting Finance and Merchandising through data science, business intelligence, data engineering, visualization, and finance transformation. Develop dashboards, reports, models, and data-driven solutions; analyze business problems; modernize financial data processes; and integrate AI tools to automate workflows and generate actionable insights. Collaborate cross-functionally with Finance, analytics, and external teams in a primarily onsite Calgary environment.

Two-year rotational finance program for new graduates, consisting of two 12-month rotations across areas such as FP&A, accounting, treasury, internal audit, reporting, controls, and decision support. Responsibilities may include data analytics, cost-benefit analysis, financial planning, forecasting, performance reporting, risk assessment, and financial analysis. The role is based in Toronto and requires four days onsite per week.

Administer and enhance Power BI and enterprise BI platforms, including workspaces, gateways, tenant settings, premium capacities, security, governance, and deployment pipelines. Develop reports and semantic models, optimize performance, troubleshoot issues, guide visualization and data modeling practices, support intake and prioritization, and promote adoption, automation, DevOps, and standardized analytics delivery across the enterprise.

Implements, monitors, optimizes, and troubleshoots paid social campaigns across multiple platforms. Coordinates with internal and external partners on performance, pacing, and campaign management. Recommends audiences, placements, tactics, and pacing, while producing weekly, monthly, and ad-hoc reporting and analysis.

Manages corporate risk and insurance programs, including risk analysis, loss prevention, claims oversight, litigation claims, policy renewals, broker and insurer relationships, contract reviews, and insurance due diligence. Leads reporting to the Audit Committee and Board, evaluates coverage and emerging risks, supports product compliance, manages claims accounting, and mentors team members.

Conduct advanced competitive pricing and market intelligence analysis across multiple retail banners. Build scalable analytical workflows, dashboards, and standardized reports using complex datasets and tools such as Power BI, SQL, and KNIME. Translate pricing data into actionable insights for strategy, regional decisions, and executive leadership. Ensure data accuracy, investigate quality issues with internal teams and vendors, define business logic, and recommend improvements while collaborating with pricing, merchandising, and cross-functional stakeholders.