Director, Data & AI

About the role

Husky Technologies is accelerating its use of AI, analytics and data platforms to improve decision speed, operational efficiency, customer experience and cost transparency. It is seeking a Director of Data & AI who combines hands-on technical depth, product-minded delivery, business partnership and pragmatic governance. The role leads the global Data & AI Office in a hub-and-spoke model with business leaders, AI Champions, process owners, architecture, cybersecurity, finance and operations, turning data and AI opportunities into measurable business outcomes while ensuring data quality, security, compliance, responsible AI and ITGC-aligned delivery.

Key responsibilities

• Build and run a portfolio of AI, analytics and data products, prioritizing initiatives with clear business value and measurable outcomes, and scale successful pilots into reusable enterprise capabilities.
• Partner with business leaders and process owners to define value cases, adoption metrics and benefit-realization methods, and create reusable delivery patterns for AI agents, analytics products, predictive models, knowledge solutions and automation.
• Review architectures, data models, integration approaches, AI agent designs, prompt/RAG patterns, ML use cases and platform decisions, and guide teams on cloud data platforms, data warehousing, analytics engineering, Python/SQL, MLOps and GenAI solution design.
• Develop and execute the enterprise data strategy, establish data ownership, stewardship, quality standards, metadata practices and trusted-data principles, and improve data quality, lineage, accessibility and consistency.
• Ensure compliance with data protection, security, privacy, retention and industry requirements, and lead practical AI governance covering risk assessment, model/agent review, access control and monitoring.
• Run the Data & AI Office as a center of excellence, build data literacy through playbooks, coaching and training, and recruit, develop and retain a team across data engineering, analytics, data governance, data science, AI engineering and business analysis.
• Manage the Data & AI budget, vendor relationships, platform consumption and licensing, and implement portfolio reporting on delivery velocity, adoption, value, risks, data quality and operational performance.

Required profile

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics or a related field.
• 10+ years of progressive experience in data, analytics, AI, digital product delivery or related technology leadership roles.
• Proven track record delivering AI, analytics or data products into production, not only strategy or governance frameworks.
• Ability to lead mixed teams of data engineers, BI/analytics developers, data scientists, AI engineers, business analysts and governance specialists.
• Fluent in English; additional languages considered an asset.

Required skills

• Strong working knowledge of data architecture, cloud data platforms, data warehousing, analytics engineering, data governance and information security.
• Practical understanding of GenAI, LLMs, AI agents, RAG patterns, ML lifecycle, model governance and responsible AI.
• Preferred: Microsoft ecosystem (Azure, Microsoft Fabric, Power BI, Power Platform, Copilot Studio, M365 Copilot), Python, SQL, APIs, data pipelines, MLOps, automation, ITGC and SOX-style controls.
• Preferred: experience in industrial, manufacturing, engineering, aftermarket, supply chain or complex B2B environments, and in building an AI Center of Excellence or similar hub-and-spoke model.

What we offer

• Benefits package, retirement savings plans and life insurance program.
• Competitive vacation policy and onsite fitness and wellness center.
• Onsite medical practitioners, cafeterias, free parking and organized sports activities.