JOB ANALYSIS & WORKFORCE RESEARCH

• Conduct job analyses and persona development using modern, technology‑augmented methods, including NLP techniques to rapidly extract and cluster tasks from job descriptions, interviews, and observational data.
• Design and execute mixed‑methods studies (survey instruments + interviews/observations) to identify task frequency, variability, and criticality for workforce planning.
• Build skills‑based workforce plans that inform short-, medium-, and long-term talent strategies.

REQUIRED SKILLS & EXPERIENCE

• Graduate degree in Industrial/Organizational Psychology, Behavioral Economics, Data Science, or related field.
• Proven experience in job analysis and skills-based workforce planning.
• Proficiency in mixed-methods research (survey design, statistical analysis, interviews, focus groups).
• Familiarity with NLP techniques for qualitative data processing and rapid job analysis.
• Strong data literacy and ability to work with structured/unstructured data; experience with Power BI/Tableau and scripting languages (Python/R/SQL).
• Excellent communication and stakeholder engagement skills; ability to influence across HR, business, and technology.
• Knowledge of AI/Model governance frameworks and risk management processes in large highly-regulated financial institutions.

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

• Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
• Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
• Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
• Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
• Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
• Implements changes in response to shifting trends.
• Broader work or accountabilities may be assigned as needed.

QUALIFICATIONS:

Advanced level of proficiency:

• Mathematics, statistics & operations research.
• Deep learning.
• Machine learning.
• Trust, bias and ethics.
• Creative thinking.
• Critical thinking.
• Big data.
• Data visualization.
• Computational thinking and programming.
• Data wrangling.
• Data preprocessing.
• Creative reasoning.
• Verbal & written communication skills.
• Analytical and problem solving skills.
• Influence skills.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.
• Data driven decision making.
• Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
• Seasoned professional with a combination of education, experience and industry knowledge.

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

ROLE SUMMARY

The Workforce Scientist modernizes how work gets done by combining Industrial/Organizational Psychology, AI enablement, and analytics product thinking. This role identifies where humans and AI collaborate best, using technology‑augmented job analysis and skills‑based workforce planning to uncover opportunities for automation and augmentation. In parallel, you’ll drive platform modernization of our analytics ecosystem: defining analytics‑user personas, shaping prioritized roadmaps for dashboards/reports/lightweight models, and ensuring solutions are designed for automation, scale, and integration with enterprise platforms. You will translate research into human‑centered products and workflow changes, collaborating across HR, Technology, and business leaders to deliver measurable human–AI outcomes aligned to our modernization strategy.