Top Tech Jobs & Startup Jobs in Toronto

Build and optimize data pipelines, applications, ETL processes, data models, warehouses, integrations, and reporting solutions for financial services clients. The role analyzes requirements, performs data profiling and source-to-target mapping, supports cloud and data migration initiatives, documents technical approaches, collaborates with client and project teams, contributes to internal accelerators, and mentors junior consultants.

Leads consulting engagements for RIAs and independent wealth firms, managing project teams, advising senior clients on operating model and technology transformations, supporting business development, and developing wealth management capabilities. Responsibilities include strategy, technology modernization, advisor and client experience, investments, data, workflow, AI-enabled operating models, thought leadership, client relationship management, and mentoring consultants.

Leads end-to-end Yardi implementation projects, managing scope, schedules, budgets, risks, resources, governance, data conversion, configuration, testing, training, change management, go-live, and stabilization. Coordinates functional, technical, and business stakeholders while tracking project financials, vendor deliverables, dependencies, and executive communications.

Lead enterprise architecture for client reporting programs: set strategy for cloud data platforms, end-to-end pipelines, integrations, governance, and delivery. Guide program planning, chair governance, mentor teams, drive best practices, and commercialize client reporting offerings. Act as senior advisor to clients and accountable owner for architecture and delivery excellence.

Designs and leads end-to-end Sigma business intelligence and client reporting implementations for asset and wealth management clients. Responsibilities include data architecture, integrations, semantic modeling, dashboards, governance, project planning, testing, documentation, client communication, team mentoring, and promoting implementation best practices. The role also contributes to internal BI propositions and accelerators and requires occasional client travel when needed.

Lead enterprise data architecture and transformation initiatives for financial-services clients. Responsibilities include defining target-state architectures, operating models, roadmaps, integration patterns, data governance, platform strategies, and architectural standards. The role evaluates vendors and build-versus-buy decisions, leads workshops and delivery teams, communicates with executives, manages complex projects, develops internal intellectual property, and mentors consultants. Strong expertise in MDM, data modeling, integration, cloud data platforms, governance, quality, security, and asset and wealth management data is required.

Lead front-office investment technology implementations from current-state analysis and requirements through workflow design, configuration, integration, testing, training, and handover. Manage project plans, statements of work, governance, budgets, client communications, and teams of developers and consultants. Advise executive stakeholders on technology choices, operating models, data architecture, migration, quality assurance, and best practices across asset and wealth management platforms.

Lead strategic architecture for front-office investment technology and data solutions, advising on platform selection and implementation (Aladdin, Charles River, Bloomberg, etc.), guiding data architecture, governance and quality, managing small-to-medium implementation teams, and ensuring delivery across portfolio management, trading, and reporting domains.

Deliver front-office investment technology consulting: requirements, workflow design, system configuration, integration, testing, and handover. Provide subject-matter expertise on OMS/EMS/PMS platforms, data architecture, cloud integrations, and program governance to ensure timely, on-budget transformations.

Lead and manage client engagements for asset and wealth managers, overseeing project delivery, requirements gathering, configuration oversight, testing, training, governance, and team mentoring. Support business development, contribute to firm practice areas, and maintain subject-matter expertise in investment platforms, operating models, and data across the investment lifecycle.