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Bank of Montreal

Responsible AI Associate Product Owner

Posted 4 Days Ago
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In-Office
Toronto, ON
Senior level
In-Office
Toronto, ON
Senior level
The Responsible AI Associate Product Owner will support the design and delivery of AI solutions, ensuring they align with responsible AI best practices while collaborating across various teams.
The summary above was generated by AI

Application Deadline:

10/30/2025

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

MUST HAVE: 5 years demonstrated experience in AI implementations or AI Risk/Governance within a highly regulated industry with applied socio-technical/ethical framework development exposure.

This role sits within the AI+ Research & Commercialization (ARC) team at BMO. Reporting to the Product Owner for Responsible AI Operations (RAIOps), this role will support the design, delivery, and continuous improvement of BMO’s RAIOps platform, tooling, and evaluation frameworks.

A dynamic opportunity for those interested in working at the intersection of AI, governance, and responsible innovation, this role will play a critical role in shaping and operationalizing BMO’s approach to responsible AI. 

The successful candidate will work cross-functionally with engineering, data science, risk, legal, and business teams to ensure that AI solutions are developed and deployed in alignment with responsible AI best practices, internal policies, and external regulatory expectations. This position requires a unique blend of product thinking, technical fluency, and a deep understanding of responsible innovation and related principles. 

At BMO, we recognize the criticality of interdisciplinarity to enabling a robust approach to responsible AI. As such, we encourage applicants from varied backgrounds (e.g., social sciences, science and technology studies (STS), the philosophy and ethics of AI and data, data science, AI strategy, and AI risk) provided they can evidence the key skills and behaviors listed. 

Key Responsibilities 

  • Collaborate with engineering, data science, risk, and platform teams to deliver embedded guardrails and lifecycle governance for AI solutions in support of Responsible AI Operations (RAIOps). 

  • Conduct and translate user research and stakeholder needs into clear product requirements that drive responsible AI innovation. 

  • Maintains understanding of partner and vendor roadmaps and understands how to leverage technologies to ensure business value. 

  • Understands and keeps up to date with emerging technologies, research, trends, and innovative solutions being implemented across the industry.  

  • Continuously improves processes to identify issues and deliver optimal customer experience. 

  • Ensure products are developed with clear personas, validated business cases, and measurable outcomes tied to business goals. 

  • Analyzes information and metrics for product customer satisfaction, identifies areas of improvement and incorporates feedback. 

  • Support user enablement by translating technical capabilities into intuitive experiences and actionable insights for diverse AI stakeholders. 

Requirements 

  • Bachelor's degree in a related field (e.g., anthropology, sociology, science and technology studies, AI ethics) is required; advanced degree (e.g., Masters, PhD) related to responsible AI / responsible innovation preferred. 

  • Minimum 5 years of experience in AI implementation, product management, AI risk management, AI governance, data science, or a related field. Direct experience in regulated industries and applying sociotechnical or ethical frameworks for AI development and product strategy preferred. 

  • Strong knowledge regarding AI risks, controls, and relevant frameworks, including experience managing the more technical dimensions of RAI, such as explainability, fairness, testing, and ongoing performance monitoring. 

Key Behaviors 

  • Advanced skills in product lifecycle management within agile and hybrid methodologies. 

  • Proficient in market analysis, conducting stakeholder/user research, and strategic thinking. 

  • Ability to bridge technical and human-centered perspectives, translating sociotechnical insights into product requirements and governance mechanisms. 

  • Strong analytical and problem-solving skills, data-driven decision-making capabilities, and ability to synthesize insights into actionable strategies. 

  • Excellent verbal and written communication, influencing, and stakeholder management skills. 

  • Ability to navigate ambiguity and lead confidently in complex, cross-functional environments. 

  • Demonstrated passion for advancing responsible innovation. 

What We Offer: 

  • Opportunity to lead pioneering responsible AI initiatives in a forward-thinking, innovative banking environment. 

  • A unique opportunity to apply your interdisciplinary expertise in a high-impact product role, shaping the future of responsible AI in financial services. 

  • Commitment to professional growth, continuous learning, and career development. 

  • Collaborative culture focused on diversity, inclusion, and innovation. 

 

Salary:

$75,900.00 - $141,900.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Top Skills

AI
Data Science

Bank of Montreal Montréal, Québec, CAN Office

119, rue Saint Jacques, Montréal, Quebec, Canada

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