AI Safety Red Teamer stress - testing Mercor’s frontier AI models. Identifying vulnerabilities, jailbreaks, hallucinations, and policy failures through adversarial evaluation.
About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
AVP leading AI transformation, including fraud detection, for Manulife, a global financial services provider. Driving secure, governed Classical, Generative, and Agentic AI solutions across Corporate Functions.
Generative AI Analyst validating Canadian French translations for Welo Data, a global AI data company. Reviewing and annotating multilingual AI - generated content for training and quality improvement.
Senior engineers evaluating AI coding - agent interactions for G2i. Assessing reasoning, explanations, outputs, and engineering judgment across Codex, Claude Code, and Cursor.
Manager integrating workforce management with AI transformation at TD, a major North American bank. Connecting financial, operational, and workforce planning across customer operations.
Search +AI Discovery Manager leading enterprise SEO, AI - search strategy, and client advisory for dentsu, a global integrated marketing agency. Mentoring North American SEO teams and shaping innovative search methodologies.
Director leading Homebase’s data engineering, data science, and applied AI teams. Building trusted data infrastructure and AI - powered tools for 150,000+ small businesses.
AI Solution Specialist helping greenhouse growers adopt Source.ag’s AI - powered crop technology. Building dashboards, automations, and custom tools while translating greenhouse insights into product improvements.
Senior Advisor designing and integrating generative AI solutions for Desjardins, North America’s largest cooperative financial group. Driving adoption through training, change management and scalable AI practices.
Strategy and management consultant creating complex business scenarios and evaluating AI outputs. Supporting Gramian Consultancy’s IT talent solutions through rigorous consulting analysis and executive deliverables.