Top Tech Jobs & Startup Jobs in Toronto

Lead technical architecture and roadmap for analytics engineering: design semantic/metrics layer, build AI-ready Snowflake data foundation, optimize dbt projects, mentor engineers, partner with Data Science/Engineering, and champion data governance, observability, and production readiness for AI and downstream analytics.

Design, build, and maintain scalable dimensional data models, semantic/metrics layers, and production data pipelines (dbt, Snowflake). Partner with Data Science, Data Engineering, BI, and DevOps to enable AI/ML, real-time analytics, governance, and data quality while mentoring junior engineers and enforcing best practices.

Lead and grow a team of analytics engineers to build an AI-ready, centralized data foundation. Hands-on duties include writing/reviewing SQL and dbt, designing semantic and dimensional data models, driving data quality, observability, testing, and CI/CD, partnering cross-functionally to deliver scalable data products, and recruiting and developing engineering talent.

Support implementation, testing, and backtesting of a third-party decision engine. Validate data flows, execute QA/A-B tests, document requirements and processes, and collaborate with Pricing, Risk, and Engineering to optimize decisioning and offer drafting workflows.

Design and own Forward's security technology architecture across AppSec, SecOps, and GRC. Integrate and automate security tooling into cloud, CI/CD, identity, and SaaS ecosystems. Build detection and logging foundations, lead evaluations and rollouts, mentor security engineers, support incident response, and align architecture to compliance frameworks (SOC 2, ISO 27001, NIST).

Lead a 70+ person inside sales organization (including 8 managers) across New Sales, Renewals, and Win-Backs. Own strategy, forecasting, analytics-driven performance, process and comp design, cross-functional launches with Sales Ops/Underwriting/Marketing/Tech, and develop front-line and mid-level sales leaders to exceed revenue targets.

Lead BI analyst leveraging a modern data stack to deliver dashboards, automated reports, and AI-driven insights. Partner with stakeholders to define data needs, build Tableau visualizations, write complex SQL in Snowflake, and integrate Snowflake Intelligence/Claude to automate workflows and enable self-service analytics across the company.

The Senior Customer Engagement Representative focuses on re-engaging previous clients with a paid in full balance, utilizing high-volume dialing, Salesforce for management, and mentoring junior representatives while optimizing performance metrics for conversion and revenue targets.

Lead end-to-end data science initiatives: design, deploy, and monitor ML/statistical models for credit risk, pricing, collections and fraud. Collaborate cross-functionally to integrate models into production, define model development standards, mentor team members, and maintain scalable ML pipelines and monitoring systems to drive measurable business impact.

Manage a portfolio of small and medium business customers to grow relationships and secure additional capital. Analyze business profiles and financial history to recommend Forward Financing products. Use data and reporting to prioritize opportunities, own the sales process from approval to close, and meet monthly quotas while collaborating with underwriting and peers.