The Mint is hiring a Director, Enterprise Data & AI who can thrive in a dynamic and inclusive environment.
Reporting to the Chief Information Officer, the Director, Enterprise Data & AI is responsible for the Royal Canadian Mint’s (Mint) enterprise-wide data, information, architecture, analytics, and artificial intelligence strategy, ensuring data is trusted, secure, and leveraged as a strategic asset and competitive differentiator. This position will play a critical role in business transformation, enabling digital, analytical, architecture, and AI-driven capabilities that support strategic decision-making, operational efficiency, and regulatory compliance.
The Director acts as a strategic partner to executive leadership and business stakeholders, ensuring technology investments are aligned with business priorities, risk posture, and architectural standards to become an insight-driven organization.
Your Responsibilities:
- Define and execute the enterprise Data, Analytics, and AI strategy aligned with business priorities.
- Establish data as a trusted enterprise asset to enable analytics, automation, and AI.
- Lead the development of modern data, analytics, and AI/ML capabilities.
- Ensure responsible, secure, and compliant use of data and AI.
- Oversee delivery of data integration, business intelligence, and self-service analytics solutions.
- Provide enterprise architecture leadership, standards, and technology roadmaps.
- Lead technology governance, portfolio management, and investment prioritization.
- Implement effective intake, funding, and performance management processes.
- Drive agile delivery, DevSecOps and CI/CD best practices.
- Ensure consistent, high-quality execution balancing speed, security, and architectural integrity.
- Manage budgets, vendors, and strategic technology investments.
- Build and lead high-performing teams while fostering innovation, accountability, and continuous learning.
This position offers a hybrid work arrangement, requiring on-site presence at our Ottawa location three to five days per week, depending on meeting requirements and other activities.
This selection process may also qualify you for other positions with similar requirements and qualifications.
Qualifications:
Languages Requirements:
Proficiency in both official languages (English / French) is required at the time of hire. If no qualified candidate fully meets the required levels, other candidate language profiles may be considered in accordance with the Mint’s Staffing Policy. The linguistic profile for this position is:
Reading Comprehension: C Advanced
Written Expression: B Intermediate
Oral Proficiency: C Advanced
Education & Designation:
- University degree in related area
Experience:
- Minimum 10 years of experience in data analytics, data modeling, data management, and data architecture
- Minimum 10 years of progressive leadership experience delivering technology solutions that drive business outcomes.
- Proven experience with enterprise data platforms supporting reporting, analytics, and AI‑driven decision‑making.
- Experience leading the adoption and scaling of AI, including generative and agentic AI, with a focus on business value, governance, and operationalization.
- Experience leading enterprise architecture across data, application, security, AI, and technology domains, including standards and target‑state roadmaps.
- Experience leading cloud, data and AI platforms to ensure scalability, resilience, security, and cost efficiency.
- Experience establishing governance frameworks for data, information, architecture, and AI.
- Experience leading agile delivery and operating model, and DevSecOps best practices.
- Experience managing budgets, strategic investments, vendors and technology contracts.
- Demonstrate ability to build and lead high-performing teams while fostering innovation and continuous improvement.
Additional Qualifications:
- Extensive experience of multifaceted business areas and IT, excellent presentation, negotiation, stakeholder engagement, and communication skills;
- Proven ability to bridge business and technology by translating complex data, architecture, and AI concepts into strategic, actionable insights.
- Strong expertise in modern data and analytics platforms, including Microsoft Fabric, Azure Data Lake, Data Pipelines, Lakehouses, Data Warehouses, SQL Server, and Azure SQL.
- Experience in ERP, manufacturing, finance, supply chain and e-commerce is highly desirable
Why the Mint?
At the Mint, you will collaborate with a diverse group of people and be a part of an iconic Canadian organization. Your safety and wellbeing are our top priority. We offer outstanding pay and total rewards for you and your family and you will be supported to continuously learn throughout your career.
The Mint is committed to building a team that represents a variety of backgrounds, perspectives, and skills. We value diversity and aim to provide an inclusive, barrier-free recruitment, selection and onboarding process to ensure that each candidate is treated respectfully. In accordance with the Employment Equity Act, you are invited to voluntarily self-identify with one or more of the four employment equity groups (women, Indigenous Peoples, persons with disabilities and members of visible minorities) by sending your application to the confidential email, [email protected] that is accessed only by the Human Resources section.
If you need accommodation at any point in the application or interview process, please let us know. We are committed to being an inclusive employer. For a confidential inquiry, simply email us directly at [email protected] to make arrangements.
What to Expect:
In order to be considered for an interview, please clearly demonstrate on your application how you meet the language, education and experience qualifications. The additional qualifications may be assessed through interviews, exams, reference checks, etc.
Selected candidates will be required to complete a background check facilitated by the Mint in order to obtain a security clearance.
Ready to mint your career? Please forward your resume to [email protected] by September 20, 2026. We look forward to receiving your application!
For the French version of the poster, please follow the link: Director, Enterprise Data & AI | La Monnaie royale canadienne
