Are you an AI Driven Data Science & Machine Learning Leader with strong business sense and technical chops? Then Jobber might be the place for you! We’re looking for a Director for our Data Science group who will play a pivotal role in conceptualizing, developing, and refining our ML and AI strategies to amplify our business operations. If you’re passionate about leveraging technology to drive organizational impact, we want to hear from you! Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn’t like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That’s why we put the power and flexibility in their hands to run their businesses how, where, and when they want! Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. With an Executive team that has over thirty years of industry experience of leading the way, we’ve come a long way from our first customer in 2011—but we’ve just scratched the surface of what we want to accomplish for our customers. We help employees grow professionally; we have a ton of onboarding resources, tutorials, hackathons and buddies to support learnings and provide opportunities to innovate. We have a range of experience levels on teams which allows for mentor/mentee opportunities. Leaders at Jobber work with empathy and support employees to build healthy work-life harmony. Bring your dedication and passion to this job to fulfill your goals. The Team: Similar to how Jobber empowers small businesses with the tools and insights they need to succeed, the Strategy and Analytics Department ensures our people at Jobber have the tooling, data insights, and strategic direction to excel in our shared mission. We turn data into actionable insights, and critical business needs into impactful software, working with multiple teams and departments across the company to execute against their mandates. Essentially, Strategy & Analytics serves as a central hub that drives business outcomes in all corners of Jobber’s ecosystem. The role: The Director of Data Science will lead the evolution of Jobber’s Analytics and Insights organization from insight generation to automated intelligence. Reporting to the VP of Analytics & Insights, this role will be responsible for building and scaling Jobber’s data science team and practice, developing predictive models, experimentation frameworks, and AI analytic capabilities that drive automation, efficiency, and growth. This leader will play a pivotal role in enabling Jobber to move faster and make smarter, data-driven decisions through advanced analytics and self-service empowerment. As the Director of our Data Science Group, you will bring your previous experience in developing high-performance data science teams to design, refine, and deploy ML models while supporting team members’ career, technical and methodological growth. To be successful, you should have: • The ability to define, execute and lead data science strategy development in alignment with the 3-Year Analytics and Insights plan, focusing on predictive analytics, automation, and AI-driven decision-making. • A track record of success leading a data science team in development of predictive and prescriptive models that drive and support an organization’s growth strategy. • A track record of success leading and implementing an experimentation framework to accelerate learning and decision confidence • Experience with the development of data products to enable organizational self service including the use of AI / LLMs . • Experience with a rigorous decision science framework and governance function to ensure models and experiments are performant and accurate. • Strong leadership and communication skills with the ability to inspire teams and influence senior stakeholders. • Exceptional written and oral communication. • Strong command of modern data stacks (e.g., dbt, Snowflake, Databricks, AWS/GCP, MLflow). • A thoughtful and effective approach to performance management. • Comfort with budgets. You will be responsible for the Data Science Team Budget. You should have experience managing a budget, working with Finance teams and managing vendors. Highly Desired, but not a dealbreaker: • Familiarity using our tech stack: AWS, Redshift, DBT, Tableau, Metabase. • Experience with risk and financial m