Director leading Bird’s enterprise data, AI, and automation strategy for a Canadian construction company. Modernizing data platforms, governance, analytics, responsible AI, and automation capabilities.
Responsibilities
Develop and execute Bird's enterprise Data, AI, Analytics, and Automation strategy
Establish and maintain a multi-year roadmap and prioritized portfolio for data modernization, AI adoption, analytics, automation services, and information governance
Report quantified value realization to executive leadership
Lead modernization and operation of Bird's enterprise data platform, including lakehouse, Azure Databricks, semantic models, enterprise data models, metadata, data pipelines, and analytics architecture
Establish enterprise standards for analytics, reporting, data engineering, AI solution development, and delivery governance
Lead enterprise data governance, master data management, data quality, metadata, stewardship, and information lifecycle management
Own 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
Deliver trusted analytics, business intelligence, KPI frameworks, dashboards, predictive models, and AI-enabled solutions using Power BI on the enterprise Lakehouse
Lead enterprise automation services and the Automation Center of Excellence, including workflow automation, RPA, AI Agents, reusable patterns and templates, citizen-development guardrails, KPI, ROI tracking, and process rationalization
Champion enterprise data literacy, AI fluency, self-service analytics, adoption, and change management
Measure and communicate business value delivered through data, AI, and automation initiatives
Build, coach, and lead a high-performing Data, AI & Automation Services team
Partner with executive leadership, Cybersecurity, Enterprise Architecture, Privacy, business stakeholders, and delivery teams
Requirements
Post-secondary degree in Computer Science, Engineering, Data Science, Information Technology, Business, or a related discipline
Minimum 10 years of progressive experience in Data, Analytics, Artificial Intelligence, Automation, or Digital Transformation
Prior Director-level or equivalent senior enterprise leadership experience is required
Enterprise leadership experience partnering directly with executive leadership and cross-functional stakeholders
Minimum 8 years of leadership experience managing high-performing technical teams
Proven experience developing and executing enterprise data and AI strategies
Demonstrated ability to lead organizational change, technology adoption, and enterprise capability-building initiatives
Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, predictive analytics, and business intelligence
Deep knowledge of data warehousing, lakehouse architectures, data governance, and enterprise analytics
Experience with data quality management, master data management, metadata management, and information governance
Knowledge of AI lifecycle management, responsible AI practices, and modern data engineering methodologies
Experience building scalable data platforms and self-service analytics capabilities
Ability to embed governance and data fluency practices into analytics delivery, automation initiatives, AI adoption, and business transformation programs
Ability to communicate complex data concepts in clear business language
Strong understanding of data quality, metadata management, master data management, privacy, security, and information lifecycle management
Demonstrated ability to establish data governance frameworks, stewardship models, data ownership practices, and enterprise data standards
Strategic thinking and business acumen
Strong stakeholder management and executive communication skills
Proven ability to lead organizational change and technology adoption
Excellent verbal, written, and presentation skills
Strong problem-solving, decision-making, and organizational skills
Knowledge of Agile and Scrum is preferred
Experience in construction, engineering, or project-based industries is considered an asset
Cover letter and/or resume should describe experience with Business Intelligence, Machine Learning, Agile methodology, Data Warehouses, Generative AI, Data Governance, Data Fluency, and modern cloud data platforms
Benefits
Healthy and safe work environment
Inclusive workplace and commitment to Diversity, Equity, and Inclusion (DE&I)
Continuous learning opportunities
Culture of operational and psychological safety
Opportunity to work for a leading Canadian construction company
Opportunity to contribute to critical infrastructure, energy, resources, and communities across Canada
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