Manager, Delivery Lead and Project Management

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We are seeking a highly organized and delivery-focused Project Manager & Delivery Lead to support end-to-end model development, validation, and implementation across multiple business and technical teams. This role works at the intersection of data science, model governance, engineering, operations, and business strategy, ensuring that models are developed, approved, deployed, and monitored efficiently and in compliance with internal and regulatory standards.

The ideal candidate brings strong expertise in project management, delivery execution, and structured methodologies (PMP, Lean Six Sigma) applied to highly analytical and regulated environments.

Key Responsibilities

Model Development & Implementation Delivery

• Lead the delivery lifecycle for models-from scoping and development through validation, approval, deployment, and post‑implementation monitoring (PIM).

• Work closely with data scientists, modelers, risk teams, validators, MRM (Model Risk Management), engineering, and business owners to maintain alignment.

• Maintain detailed project plans and timelines for multiple concurrent model projects.

• Manage dependencies across data sourcing, feature engineering, model training, documentation, testing, and deployment.

• Facilitate model implementation activities including:

  • Technical specification reviews

  • Code integration with engineering teams

  • Model testing (UAT/SIT)

  • Cutover and deployment readiness

• Ensure all delivery artifacts (documentation, governance checkpoints, testing results) are completed on time.

Model Governance & Compliance

• Coordinate governance deliverables such as:

  • Model Development Documentation (MDD)

  • Validation reports

  • Model change documentation

  • AUC/KS/PSI backtesting, monitoring metrics

  • Regulatory or audit evidence packages

• Ensure projects follow internal standards (SR 11-7, OCC 2011-12, or enterprise governance guidelines).

• Prepare and support model risk reviews, challenger reviews, and independent validations.

• Track and manage findings, remediation items, and required monitoring updates.

Project Management & PMO Delivery Excellence

• Create project charters, work breakdown structures (WBS), schedules, and dashboards.

• Maintain RAID logs (Risks, Assumptions, Issues, Dependencies) with clear mitigation plans.

• Provide consistent executive‑ready updates through status reports, metrics, and dashboards.

• Drive structured decision-making through solid facilitation and scenario planning.

• Ensure project scope, timelines, and quality standards are maintained.

• Manage vendor/partner interactions where third‑party modeling tools or services are involved.

Stakeholder Management & Communication

• Serve as the central point of coordination among modelers, engineers, validators, governance, and business users.

• Communicate complex analytical/modeling topics in clear, non-technical language.

• Facilitate governance meetings, design discussions, and cross-team working sessions.

• Influence stakeholders to drive timely decisions and remove blockers.

Continuous Improvement (Lean Six Sigma)

• Use Lean/Six Sigma tools to streamline the model development/implementation lifecycle.

• Reduce bottlenecks tied to data readiness, documentation quality, or validation cycles.

• Lead root cause analyses (RCA) on model defects, delays, and post-go-live issues.

• Implement process standardization: templates, checklists, workflows.

Required Qualifications

• 5+ years of project management or delivery lead experience in analytics, data science, machine learning, or model-focused environments.

• Understanding of model development lifecycle (MDLC), machine learning workflows, or risk/quant processes.

• Experience working with data teams, model developers, risk/validation, and engineering teams.

• Strong communication and executive presentation skills.

• Advanced proficiency with project management tools (MS Project, Jira, Azure DevOps, Smartsheet).

Preferred Qualifications

• PMP Certification strongly preferred.

• Lean Six Sigma Green Belt or Black Belt a plus.

• Experience with model governance frameworks such as SR 11-7, OCC guidelines, or enterprise MRM.

• Familiarity with Python, R, SAS, AWS, Azure ML, or MLOps concepts (not hands-on coding, but conceptual knowledge).

• Knowledge of financial, credit, pricing, or operations models.

Key Skills & Competencies

• Delivery governance & execution leadership

• Analytical thinking / ability to translate model work into PM terms

• Regulatory & model governance familiarity

• Risk management & decision facilitation

• Technical understanding of data/model workflows

• Strong documentation and process discipline

This position is located in Toronto with minimum three days in-person work arrangement.

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.