Director, Applied Data

Join to apply for the Director, Applied Data & Intelligence Products role at Équité Association As a not‑for‑profit organization, Équité Association supports Canadian insurers to fight fraud by using advanced analytics, intelligence best practices, and coordinated investigations. Leveraging relationships with law enforcement and industry partners, Équité serves as a centre point for insurance crime across all insurers, protecting Canadians by working to eradicate insurance fraud and crime. About the Role The Director of Applied Data & Intelligence Products reports to the VP, Chief Data & Technology Officer (CDTO). The role leads a team of data professionals and collaborates across the organization to drive data‑driven decision‑making, shape product development, and advance the responsible use of AI technologies. Key Responsibilities Develop and implement a comprehensive product analytics roadmap that aligns with organizational goals and product objectives. Lead a team of data and analytics professionals to uncover business opportunities and inform strategic direction. Evaluate the performance of existing data technologies and recommend improvements to ensure seamless integration and coordination of multiple data sources, supporting advanced analytics and fraud detection efforts. Assess, test, and recommend AI technologies—including OCR engines, machine learning platforms, and fraud detection tools—focusing on their strategic value and fit for business use cases. Identify, prioritize, and drive discovery of high‑impact AI use cases that advance Équité’s products and services. Translate strategic objectives into AI solution requirements, guiding experimentation and proof‑of‑concept efforts. Collaborate closely with Data, Software and Platform Engineers to ensure successful implementation, deployment, and scaling of AI models and tools. Prioritize actionable, high‑impact data insights that drive measurable business outcomes. Own and oversee major data initiatives from ideation through deployment, fostering data‑driven decision‑making across the company. Stay current on emerging trends in AI, analytics, and data science to integrate innovative approaches into Équité’s strategy. Ideal Candidate Profile University degree in Mathematics, Statistics, Computer Science, Engineering or related discipline. 10+ years of experience in data science, analytics, or data engineering with demonstrated leadership. Proficiency in data analysis tools and technologies, including Python, graph and network analysis, and machine learning frameworks. Experience assessing and applying AI/ML platforms, OCR technologies, and fraud detection solutions with a focus on business value. Deep understanding of AWS cloud services and experience delivering analytics infrastructure at scale. A proven track record of implementing AI and analytics solutions in a high‑tech development environment with multi‑function teams. Ability to provide highly credible leadership to development teams and evaluate complex project risks and issues with proactive communication to the CDTO. Experience scaling data infrastructure and delivering actionable insights across multiple data touchpoints. Entrepreneurial mindset with a proven ability to strategically build and execute tactics. Excellent communication skills to bridge technical and non‑technical stakeholders. Strong organizational planning and results‑oriented work ethic. We encourage applications from all backgrounds and communities. We highly value our diversity and inclusion culture and welcome all candidates, including women, BIPOC, LGBTQ2S+, and allies. #J-18808-Ljbffr