Director, Data, AI, & Automation Services
Lead Bird’s enterprise data, AI, and automation strategy, modernizing its data platform (Azure Databricks, lakehouse) and embedding responsible AI governance to drive analytics, automation, and decision-making across the construction business.
- Compensation
- Not disclosed
- Location
- Calgary, AB
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Not specified
- Posted
Skills
Must have
- Post-secondary degree in Computer Science, Engineering, Data Science, Information Technology, Business, or a related discipline.
- Master's degree considered an asset.
Nice to have
- Experience leading enterprise AI adoption initiatives.
- Experience implementing AI governance and data governance frameworks.
- Experience in construction, engineering, or project-based industries is considered an asset.
- Knowledge of project delivery methodologies including Agile and Scrum.
Full description
Director, Data, AI, & Automation Services
As a member of the Business Systems leadership team reporting to the Vice President, Business Systems, the Director, Data, AI & Automation Services leads Bird's enterprise data, analytics, AI, automation, and information governance services. The role is accountable for translating business strategy into a practical Data, AI & Automation roadmap that improves decision-making, project and operational performance, productivity, and responsible innovation across Bird.
The Director leads the modernization of Bird's data platform and analytics ecosystem, establishes scalable AI and automation capabilities, and advances enterprise data governance, data quality, stewardship, and data fluency. Working with executive sponsors, business leaders, Cybersecurity, Privacy, Enterprise Architecture, and delivery teams, this role ensures data and AI capabilities are trusted, secure, adopted, and measurable in business value.
What You Will Be Working On
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- Develop and execute Bird's enterprise Data, AI, Analytics, and Automation strategy, aligned with corporate objectives and the priorities of the Business Systems leadership team, translating business strategy into measurable outcomes across decision-making, operational excellence, and innovation.
- Establish and maintain a multi-year roadmap and prioritized portfolio for data modernization, AI adoption, analytics, automation services, and information governance — sequencing initiatives by business value, risk, feasibility, and adoption readiness, and reporting quantified value realization to executive leadership.
- Lead the modernization and operation of Bird's enterprise data platform, including lakehouse, Azure Databricks, semantic models, enterprise data models, metadata, data pipelines, and analytics architecture, in partnership with Business Subject Matter Experts, Data Architects, and Business Analysts.
- Establish and maintain enterprise standards for analytics, reporting, data engineering, AI solution development, and delivery governance — covering architecture reviews, solution design reviews, testing, release management, training, documentation, and operational support.
- Lead enterprise data governance, master data management, data quality, metadata, stewardship, and information lifecycle management, ensuring compliance with privacy, cybersecurity, regulatory, and corporate governance requirements — including ownership of the Semarchy MDM tool and enterprise data standards.
- Establish and operationalize responsible AI governance and lifecycle controls for Generative AI, Microsoft Copilot, machine learning, predictive analytics, and intelligent automation — covering AI inventory, human oversight, third-party AI/data risk, monitoring, incident response, and decommissioning, aligned with recognized frameworks such as NIST AI RMF (Govern, Map, Measure, Manage) and ISO/IEC 42001)