Director, Data & AI (Hybrid

• Toronto Toronto CA $230K – CA $273K
  • Offers Equity
  • Offers Bonus

We believe compensation should be fair, transparent, and reflective of impact. At Homebase, compensation is based on role level, skills, and performance. During the interview process, we evaluate experience, scope, and impact to determine the appropriate level for the role, which maps to a defined salary range. Posted ranges reflect the expected starting range for the role, and offers are made within that range, with flexibility based on experience, market context, and leveling.

As impact grows, so does compensation over time.

At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team.

We’re not just building an app—we’re building unstoppable teams. So what do you say, are you in?

We’re looking for a Director, Data & AI to lead our Data Engineering, Data & ML Platform, Data Science, and Applied AI teams. You'll own the strategy, execution, and people leadership for a 20+ person org that powers everything from our data platform and analytics infrastructure to production ML models and AI-powered product experiences.

This is a high-impact leadership role at the intersection of data and AI. You'll set the technical vision for how Homebase uses data as a product—trustworthy, consistent, and accessible—while driving applied AI initiatives that directly shape customer outcomes. You'll partner closely with Product, Engineering, and GTM leadership to ensure data and AI capabilities accelerate Homebase's growth strategy.

Own the Data & AI strategy. Define and execute the technical roadmap across data engineering, data platform, data science, and applied AI. Align priorities to Homebase's product and business goals.

Lead and grow a 20+ person org. Manage managers and senior ICs across four sub-teams. Recruit, develop, and retain top talent. Build a culture of velocity, ownership, and craft excellence.

Drive data platform and infrastructure. Own the reliability, scalability, and governance of Homebase's data stack (Databricks, Unity Catalog, Airflow, dbt). Ensure data is a trusted, self-serve asset across the company.

Accelerate applied AI and ML in product. Partner with Product and Engineering to ship AI-powered features—from LLM-based assistants to recommendation systems and intelligent automation. Own the MLOps lifecycle from experimentation to production.

Drive data science rigor. Build experimentation frameworks, guardrail metrics, and evaluation pipelines that drive confident product decisions. Ensure models are reliable, fair, and cost-effective.

Champion AI fluency org-wide. Coach your leaders to enable their teams with AI tools and workflows. Drive adoption of AI-assisted development practices (agentic coding, AI-augmented analytics). Measure and share impact.

Set governance and standards. Define org-wide standards for data quality, model monitoring, data contracts, and responsible AI use. Be the authority on data architecture and AI governance.

Partner cross-functionally. Work with Product, Growth, GTM, Finance, and CX to understand their data and AI needs. Enable a hub-and-spoke model where your team empowers the entire org to work with data effectively.

These are the experiences and strengths that will set you up for success in this role:

10+ years in data and/or AI/ML, with at least 5 years leading teams of 8+ across data engineering, data science, or applied AI.

Director-level leadership experience. You've managed managers, built orgs, and driven technical strategy at a company with real scale.

Deep technical fluency across the modern data stack (warehousing, orchestration, transformation, BI) and applied ML/AI (production ML systems, LLMs, experimentation platforms).

Strong product instincts. You connect data and AI work to customer outcomes and business…