Vice President, Data Management & Artificial Intelligence (AI)

Moneris • Toronto, ON

3d • Hybrid

About The Position

Moneris is building a modern, enterprise-grade data and AI foundation to accelerate decision-making, enable new products and operations, and unlock measurable business value. As Vice President, Data & Artificial Intelligence, you will define and execute an enterprise data and AI strategy, transforming fragmented capabilities into a scalable, secure, and trusted foundation that powers analytics, reporting, and AI-enabled solutions. This role partners closely across Technology, Product, Sales, Operations, Risk, Legal, Privacy, Security, and Finance to ensure data and AI are governed, trusted, and deployed responsibly. You will own enterprise data platforms, data engineering, AI/ML and Generative AI engineering, data science, and MLOps, while integrating with Finance-owned analytics (BI and reporting) through shared governance, metrics, and value realization. You will report to the Chief Information Officer, Technology.

Requirements

• 10+ years of experience across enterprise data platforms, data engineering, and AI/ML, including 5+ years in senior leadership roles.
• Proven experience scaling data and AI solutions from pilot to production, including operations, reliability, and monitoring.
• Strong background implementing data governance, privacy, security, and responsible AI in regulated environments.
• Ability to influence senior leaders by translating technical strategy into business outcomes.
• Demonstrated people leadership across data engineering, AI engineering or data science, and MLOps teams.

Nice To Haves

• Experience in payments, fintech, or highly regulated industries.
• Familiarity with modern cloud data architectures (e.g., lakehouse, streaming/event-driven data, API-based data products).
• Experience establishing enterprise data platform or data product operating models.
• Vendor and partner management experience for data and AI platforms.

Responsibilities

• Define and deliver a multi-year enterprise data and AI strategy aligned to business priorities, technology direction, and risk appetite.
• Lead data engineering, AI engineering, data science, and MLOps teams, establishing standards, operating models, and delivery practices.
• Design, build, and operate secure, resilient, and scalable data platforms supporting analytics, regulatory reporting, and AI use cases.
• Drive development and production deployment of AI/ML and Generative AI solutions, including lifecycle management, monitoring, and continuous improvement.
• Establish and mature MLOps capabilities for deployment, observability, governance, and cost/performance optimization.
• Embed data governance, privacy, security, and responsible AI by design in partnership with Risk, Legal, Privacy, Security, and Finance.
• Define enterprise standards for data quality, lineage, access, and retention for sensitive and regulated data.
• Partner with business and technology leaders to prioritize and deliver high-value data and AI initiatives.
• Build and lead high-performing teams, fostering cross-functional collaboration and sustained adoption.

Benefits

• Comprehensive Total Rewards Program, including performance-based bonuses, flexible benefits starting from day one, and your choice of a health spending account (HSA) or personal spending account (PSA).
• Retirement planning support, with profit-sharing programs including company match and a defined contribution pension plan.
• Growth & development opportunities, including unlimited access to Coursera, mentorship programs, and an internal gig marketplace.
• Holistic wellness support, with an Employee & Family Assistance Program, 24/7 virtual healthcare, and workplace wellness initiatives.
• Flexibility that works for you, including hybrid work arrangements, a Work from Abroad program, and paid time off programs
• Recognition and rewards, with company-wide recognition programs, exclusive banking perks from RBC & BMO, and access to great employee discounts.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed