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Calgary, Alberta, Canada
Onsite
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)
Deliver trusted analytics, business intelligence, KPI frameworks, dashboards, predictive models, and AI-enabled solutions — including Power BI visualization on the enterprise Lakehouse — that improve executive, operational, project, and functional decision-making, and leverage structured, unstructured, and IoT data to solve complex business challenges and improve project outcomes.
Lead enterprise automation services and the Automation Center of Excellence, including workflow automation, RPA, AI Agents, reusable patterns and templates, citizen-development guardrails, and consistent benefits realization through KPIs, ROI tracking, and process rationalization.
Champion enterprise data literacy, AI fluency, self-service analytics, adoption, and change management — including Bird's Data & AI Community of Practice and the Data & AI Fluency Journey — measuring and communicating the business value delivered through data, AI, and automation initiatives.
Build, coach, and lead a high-performing Data, AI & Automation Services team across Data Engineers, Data Analysts, Data Scientists, AI Specialists, and Automation professionals, and foster a culture of innovation, continuous improvement, collaboration, and customer service excellence in partnership with executive leadership, Cybersecurity, Enterprise Architecture, Privacy, and business stakeholders.
Education
Post-secondary degree in Computer Science, Engineering, Data Science, Information Technology, Business, or a related discipline.
Master's degree considered an asset.
Experience
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.
Demonstrated experience operating at the enterprise leadership level, including partnering directly with executive leadership and cross-functional , influencing strategic decisions, and communicating complex technical concepts in clear business language
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 , including data literacy, AI fluency, self-service analytics, and responsible AI adoption, across business functions
Technical Knowledge
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.
Data Governance and Data Fluency Competencies
Proven ability to embed governance and data fluency practices into analytics delivery, automation initiatives, AI adoption, and business transformation programs.
Experience translating complex data concepts into clear business language for executives, operational leaders, and cross-functional stakeholders.
Ability to promote data fluency across business functions by improving data literacy, self-service analytics adoption, and responsible use of AI-enabled insights.
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.
Leadership Skills
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.
Ability to communicate complex technical concepts to technical and non-technical audiences.
Strong problem-solving, decision-making, and organizational skills.
Preferred Qualifications
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.
SUCCESS MEASURES
Adoption and business value realization of AI-enabled solutions.
Growth in enterprise data literacy and analytics adoption.
Improvements in data quality and governance maturity.
Productivity gains through automation and AI.
Delivery of strategic data platform and analytics initiatives.
Enhanced decision-making through trusted, accessible, and actionable data.
Development of a high-performing Data & Automation Services organization.
APPLICATIONS
Applications are accepted online at www.bird.ca.
Please describe your experience with Business Intelligence, Machine Learning, Agile methodology, Data Warehouses, Generative AI, Data Governance, Data Fluency, and modern cloud data platforms in your cover letter and/or resume.
The greatest achievements in history are borne from the greatness within people – where human potential meets vision, and passion fuels evolution. Unlocking this potential is the most important thing we do at Bird.
As a leader in Canadian construction for over 100 years, the impact of our team is etched deeply within the core of our legacy. Beyond Bird, this impact is felt in the fundamental aspects of our everyday lives. From the critical infrastructure we depend on, to the energy and resources that keep us moving - we are powering our communities and shaping Canada’s skylines coast-to-coast-to-coast. Entrenched in the foundation of a culture built more than a century ago is an enduring quest to reimagine what is possible. Our impact is greater than ever, and we are looking for those who seek to redefine their story.
A healthy and safe work environment is non-negotiable. We build a culture of operational and psychological safety through engagement, learning and leadership.
We speak and act with integrity, clarity and care so people can trust our word and our work. Being honest means we can deliver the best outcomes and consistent results.
Success is a team effort. Our inclusive workplace enables our combined expertise, humility and creativity to unlock our greater potential.
We built our name on quality. We have a passion for excellence in our work and relationships that honours our businesses and our industry.
Rooted in a solid foundation, we adapt and grow to face the future. We are committed to elevating each other to chart the best path forward in an evolving world.
At Bird, we value Diversity, Equity, and Inclusion (DE&I) and believe it is essential to our success. We will continue to listen, learn, and take action in our commitment to building progress in our organization, and the industry as a whole. Cultivating an environment where all employees feel included, seen, and have a sense of belonging is core to Bird’s culture. We commit to proactively employing a workforce that reflects the communities in which we work, fostering an environment of continuous learning, and never compromising on our values.