Director, Product Ownership & Applied AI Evaluations

Application Deadline:

11/29/2025

Address:

180 Montgomery St.

Job Family Group:

Data Analytics & Reporting

Please note this role is subject to Hybrid Work Model, 2-3 days/week work in office) non-negotiable. Must be a Senior Leader (people manager) with solid experience in AI/Gen AI Products and Portfolios.

Position Overview:

The Director / Product Owner at BMO Bank is a strategic and influential role responsible for shaping, delivering, and managing innovative AI-driven products and solutions within highly regulated financial environments. This role requires exceptional leadership in aligning business objectives with cutting-edge AI technologies, ensuring robust product-market fit, customer-centric innovation, and compliance with regulatory standards.

Directs, researches, builds, and implements scalable artificial intelligence systems capable of learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors, evaluates, and optimizes learning processes to continuously improve high-performance models. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

• Oversees the designs and development of machine learning (ML) and deep learning systems/products
• Runs hands-on machine learning tests and experiments. Trains and retrain systems to prevent drift and optimize results.
• Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.
• Develops Machine Learning apps, implements algorithms, and builds tools to apply ML frameworks.
• Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
• Attracts, retains, and enables the career development of top talent.
• Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
• Operates at a group/enterprise-wide level and serves as a senior specialist resource across BMO.
• Influences how teams/groups work together.
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to multiple, interdependent, complex problems.
• Communicates abstract concepts in simple terms.
• Fosters strong internal and external networks and works with and across multiple teams to achieve business objectives.
• Anticipates trends and responds by implementing appropriate changes.
• Broader work or accountabilities may be assigned as needed.

Key Responsibilities:

Strategic Product Vision & Roadmap:

• Oversee a product portfolio, define and articulate the vision, strategy, and roadmap for AI/GenAI products.
• Involved in tactical plans for market analysis, customer pain points, and Design Thinking methodologies to validate product-market fit.
• Prioritize product backlog ensuring alignment with strategic business objectives and regulatory requirements.

Product Lifecycle Leadership:

• Lead by example in driving the complete AI product lifecycle from concept and MVP development to full-scale product launch, optimization, and eventual retirement.
• Ensure products are developed with clear personas, validated business cases, and measurable outcomes.
• Oversee product activation strategies, collaborating closely with go-to-market, pricing, and positioning teams.

Stakeholder Engagement & Cross-functional Leadership:

• Serve as the voice of business and customer, translating business requirements into actionable plans and clear acceptance criteria.
• Foster high-performing, collaborative cross-functional teams including data scientists, engineers, designers, compliance, and risk management professionals.
• Address blockers proactively, ensuring smooth adoption through strategic communication, training, and documentation.

Market Insight & Continuous Improvement:

• Own the strategy to Monitor product performance, gathering stakeholder feedback and iteratively enhancing product offerings.
• Keep abreast of AI trends, competitive intelligence, and regulatory landscape to maintain product relevance and market leadership.

Qualifications & Experience:

Education:

• Bachelor's or Master’s degree in Business, Computer Science, Data Science, Artificial Intelligence, or a related discipline, PhD level education.

Professional Experience