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Human Centered Design Lead, RAI Ops

Job in New York, New York County, New York, 10261, USA
Listing for: Bank of Montreal
Part Time position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 122400 - 228000 USD Yearly USD 122400.00 228000.00 YEAR
Job Description & How to Apply Below
Location: New York

Final date to receive applications:

11/23/2025

Address:
151 W 42nd Street

Job Family Group:
Data Analytics & Reporting

Please note this role is subject to Hybrid Work Model (2-3 days per week in office)

This role sits within the AI Research & Commercialization (ARC) team reporting to the Head of Responsible AI (RAI) Innovation & Governance. A dynamic opportunity for skilled professionals who are passionate about shaping the future of responsible AI in financial services, this role will lead the human-centered design function in the development of guardrails, evaluation frameworks, and technical governance strategies to ensure that AI solutions are performant, safe, and aligned with risk and regulatory expectations.

This position requires expertise in machine learning and AI testing and evaluation methods, combined with a strong understanding of responsible innovation and underlying principles, such as fairness, explainability, and reliability.

Key Responsibilities
  • Drive cross-functional collaboration with engineering, data science, risk, and platform teams to design and deliver embedded guardrails and intuitive experiences that operationalize Responsible AI at scale and strengthen stakeholder trust.
  • Lead the integration of human-centered design principles into BMO’s RAIOps platform and enterprise playbooks, patterns, and best practices to embed empathy and usability into AI governance and accelerate safe AI adoption across the organization.
  • Own and direct a comprehensive product research program-spanning user, market, competitor, and academic domains-to inform RAIOps strategy and platform design.
  • Translate complex research findings into compelling narratives and actionable recommendations that influence product roadmaps, risk policies, user training, and management decision-making.
  • Facilitate participatory research (focus groups, interviews, and in-field sessions) to capture stakeholder needs and validate design hypotheses, ensuring solutions align with ethical, regulatory, and operational objectives.
  • Maintain deep expertise in RAI, HCI, and emerging technology risk; advance thought leadership through academic collaborations, publications, and conference participation to position BMO as an industry leader in responsible innovation, design thinking, and human-centered AI.
Requirements
  • Master’s or PhD degree in data science or a related field is required, with a preference for candidates that have specialized in responsible AI / responsible innovation (e.g., fairness and explainability techniques, responsible AI evaluation and alignment research, etc.).
  • 7 years of experience in a related field is required, with a defined specialization in responsible AI / responsible innovation for at least 3 years.
  • Experience in human-centered design principles and practices, deep research background and user research
  • Strong grasp of AI and ML frameworks and stacks.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.
  • Track record of research, publications, or other contributions to the field of Responsible AI (e.g., responsible AI, AI safety, alignment, or interpretability research) would be an asset.
Key Behaviors
  • Strong analytical and problem-solving skills, with an aptitude for data-driven decision-making.
  • Strong communication skills to explain complex technical concepts to non-technical stakeholders.
  • Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
  • Proven ability to lead and mentor team members, with a commitment to fostering professional growth, knowledge sharing, and a culture of continuous development.
  • 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 expertise in a high-impact data science role.
  • Commitment to professional growth, continuous learning, and career development.
  • Collaborative culture focused on diversity, inclusion, and innovation.
Salary

$ – $

Pay Type

Salaried

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

Salaries will vary based on factors such as…

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