AI Data Lead
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Who We AreYou know those big cities that still feel like small towns? Where everyone's friendly and helps each other out? That's like Doane Grant Thornton. Except here we're all professionals and there isn't a mayor or a general store. What we're trying to say is that we're a large and growing professional services firm that still feels like a community. We employ about 3000 people across Canada, and we truly care about our colleagues, our clients and the communities where we work and live. That's what's most important to us. We're building a thriving organization that's purpose driven and still want to remember what your favourite milkshake flavour is.
Who We AreYou know those big cities that still feel like small towns? Where everyone's friendly and helps each other out? That's like Doane Grant Thornton. Except here we're all professionals and there isn't a mayor or a general store. What we're trying to say is that we're a large and growing professional services firm that still feels like a community. We employ about 3000 people across Canada, and we truly care about our colleagues, our clients and the communities where we work and live. That's what's most important to us. We're building a thriving organization that's purpose driven and still want to remember what your favourite milkshake flavour is. The AI Data Lead is responsible for ensuring the organization's data is operationally ready to support modern AI applications and agents. This role sits at the intersection of data architecture, data engineering, and applied AI, with a specific focus on ensuring we can provide AI systems with trusted, relevant, and current organizational knowledge, while meeting governance, privacy, and performance requirements. You will partner with Software Engineering teams building AI-enabled products and solutions, work in tandem with Data Governance and Data Privacy to ensure compliance and control and collaborate with Business Transformation to identify high-value use cases and ensure measurable business outcomes. This role is ideal for an experienced technical professional who can use their hands‑on data engineering expertise, their knowledge of Microsoft systems, and their collaborative nature to prepare the firm's data for the age of AI. As an AI Data Lead your responsibilities will include:
- Lead the design of the firm’s AI data architecture, establishing standard and best practices
- Build and maintain an AI-ready data foundation that enables trusted, secure, and governed access to enterprise information and knowledge.
- Establish the architecture for AI data access including structured and unstructured sources (e.g. data Warehouse/Lakehouse, document repositories, collaboration tools, CRM/ERP)
- Identify and resolve gaps that hinder AI performance (remove redundant data, ensure currency, validate fields against design, enforce system of record policies)
- Build and maintain ETL pipelines to extract, clean and transform data from existing sources into AI-ready formats
- Document data sources, schemas and transformation logic so pipelines are reproducible and maintainable
- Work closely with Data Governance to enhance our data catalogue and glossary, and to identify and resolve data quality issues
- Work with Data Privacy to ensure AI data use complies with privacy, retention, access policies, and regulatory needs
- Collaborate with the Business Transformation team to prioritize the highest-value use cases.
- Drive innovation through proofs of concept, pilot programs, and technical leadership, while partnering with internal stakeholders, project teams, and external solution providers to deliver business outcomes.
- Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Mathematics, Statistics, or a related STEM discipline. Master's degree in Computer Science is preferred.
- 7+ years of progre