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 modelsfrom scoping and development through validation approval deployment and postimplementation 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 executiveready 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 thirdparty 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 Groups 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 Groups expected target for the first year in this position.

BMO Financial Groups 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: 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. Well 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 well help you gain valuable experience and broaden your skillset.

To find out more visit us at is committed to an inclusive equitable and accessible workplace. By learning from each others 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.