Senior Manager Manager, Data Science

Our Story & Purpose:

Were Vancity a member-owned credit union built on the principles of inclusion and social justice. Since 1946 our relentless commitment to these values has helped us challenge the status quo and break down barriers. Weve made bold commitments to become net-zero by 2040 across all mortgages and loans and were actively pursuing strategies in Indigenous banking and financial resilience for our members.

We are committed to being a pioneer in Ethical AI. We design and deploy AI systems responsiblygrounded in fairness transparency privacy and human-centered valuesto ensure technology benefits our members communities and society at large.

As the largest private sector Living Wage Employer in Canada were proud to be consistently recognized as one of the countrys Top Employers. If youre ready to join our team of 2300 diverse individuals access competitive rewards and benefits and be part of a greater movement - apply today!

Your Role in Supporting Our Members:

We are building an Applied Machine Learning (ML) & Decision AI Pod and are seeking a Senior Manager or Manager Data Science to lead the development and delivery of classic machine learning and decision intelligence solutions - including forecasting predictive models experimentation and production scoring statistical and mathematical analysis.

This role is ahands-on technical leader and people managerwho will work closely with Data Scientists ML Engineers Analytics partners and Cloud Engineers to take models fromproblem framing ProofofConceptproduction. Youmayalso partner withvendorsto accelerate delivery ensure solutions meet internal standards and integrate vendor-built capabilities into our platforms.

This is aFull-time Permanent role and will report directly to the Director AI Centre of Excellence. Our head office is based in Vancouver but we are open to candidates in BC and Ontario. While this position is for an existing vacancy and provides a hybrid work arrangement you will be expected to be on-site for events and business demands when needed.

How Youll Make an Impact:

Applied ML & Decision AI Delivery (Classic ML Ownership)

• Lead end-to-end delivery ofclassic ML solutions includingforecasting predictive modeling and scoringused to drive business decisions and automation

• Own key components of the ML lifecycle: problem framing feature engineering model development evaluation validation deployment and ongoing performance monitoring

• Drive experimentation and iteration using measurable outcomes (lift accuracy calibration stability fairness and operational KPIs)

• Translate business needs into analytical approaches and decision logic that can be scaled across teams

MLOps& Production Architecture (Azure ML Databricks)

• Lead the design and implementation ofMLOpsarchitecture collaborating withIntegrationCI/CD platform teams and vendors to operationalize models from PoC to production

• Define standard patterns for:
• Model packaging versioning approvals and release management
• CI/CD for ML (build/test/deploy) automated validation and gated promotion
• Monitoring for drift data quality performance decay and retraining triggers

• Ensure solutions are designed for reliability security cost efficiency and auditability inAzure and Databricks ecosystems

• Establish reusable templates and reference pipelines for batch and (where needed) real-time scoring

Vendor Partnership & Delivery Governance

• Partner with external vendors to deliver forecasting or ML capabilities ensuring alignment with internal architecture security and engineering standards

• Validate vendor deliverables (methodology metrics documentation model artifacts) and ensure successful integration intoAzure ML / Databricks

• Drive knowledge transfer so internal teams canmaintainand evolve solutions after delivery

People Leadership & Cross-Functional Collaboration

• Lead and develop a pod working acrossData Scientists ML Engineers Analytics and Cloud Engineers

• Set clear priorities delivery rhythms (agile ceremonies) technical direction and quality standards

• Mentor team members in applied ML best practices and production readiness

• Collaborate with the Intelligent RPA Pod and GenAI Pod to integrate predictive scoring and decision intelligence into broader automation workflows

Stakeholder Management & Communication

• Partner with managers senior managers and business stakeholders to prioritize the Applied ML roadmap

• Communicate trade-offs clearly (speed vs. robustness cost vs. accuracy build vs. buy batch vs. real-time)

• Present recommendations with strong narrative and evidence suitable for both technical and non-technical audiences

What Youll Bring to the Team:

• 812yearsof experience in Data Science Applied ML Analytics Engineering ML Engineering or related fields

• Bachelorsor Mastersdegree(PhD preferred)inComputer Science EngineeringMathematicsor a related field

• 2 years of people leadership(orstrong teamlead experience with hiring coaching and delivery ownership)

• Proven experience deliveringclassic MLin production environments includingforecastingand/or predictive scoring models

• StrongexpertiseinMLOps/ ML deployment architecture including CI/CD model lifecycle management monitoring and operational readiness

• Hands-on cloud experience withAzure andfluency deploying ML workloads in Azure(e.g. Azure ML Azure DevOps patterns identity/security basics)

• Ability to work effectively withvendors including oversight of technical delivery validation and integration
• Strong applied ML foundations (model selection evaluation design feature engineering calibration time series fundamentals for forecasting)
• Comfort working with structured data and collaborating on data engineering practices required for robust modeling
• Practical understanding of production ML: drift monitoring retraining strategies interpretability and governance requirements
• Strong communicationskills and the ability to influence cross-functionally

Extra Skills That Set You Apart:

• Familiarity with other cloud ecosystems such asAWSorGCP (Vertex AI)

• Domain experience incredit risk fraud detection or member personalizationusing ML / data science algorithms

• Experience withDatabricks(for ML workflows feature engineering orchestration and/orMLflow)

• Strong mathematical background (statistics optimization time series)

• Experience integrating ML outputs into decision engines automation/RPA workflows or downstream operational systems

• Exposure to Responsible AI and model risk governance practices

Youll Thrive Here If You Are:

• A Hands-On Delivery Leader:You like to coach teams while staying close to the workhelping shape experiments reviewing modeling approaches and ensuring models are production-ready monitored and maintainable.
• Technically Fluent in Production ML:You understand what it takes tooperatemodels reliably in the real world and can leadMLOpsarchitecture acrossAzure ML and Databricks collaborating with Integration and CI/CD partners to make deployment repeatable.
• Collaborative & Communicative:You can align stakeholders manage vendors and translate complex ML trade-offs into clear actionable decisions that drive outcomes.

We value lived experience so if you are interested in this role we encourage you to apply even if you feel your skills dont perfectly align with those listed.

What Youll Earn:

This role offers a salary range of$141100 to $174300 per annum. The base pay offered may vary depending on factors such as relevant qualifications skills previous experience and internal equity. As part of our total rewards package employees may also be eligible for our annual incentive program subject to program eligibility requirements.

Why Youll Love Working Here:

A career at Vancity is more than just a job youre joining a tradition of change-makers who are creating lasting change for our communities. Beyond base pay we offer a comprehensive total rewards package to ensure our employees are empowered to thrive:

• Living Wage Employer: Were the largest private-sector Living Wage Employer in Canada and consistently ranked among Canadas Top Employers.
• Customizable Benefits: Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs.
• Generous Vacation: New employees start with 3-4 weeks of vacation per year with additional days earned over time.
• Extra Stat Holidays: In addition to BCs 11 statutory holidays we offer 2 extra days plus care days for personal or family illness.
• Immediate Health Coverage: Health and dental benefits begin on your hire date with three levels of coverage to choose from.
• Defined Benefit Pension: Our retirement plan provides a guaranteed income for life recognizing that retirement looks different for everyone.

Vancity Talent Programs:

Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous Black or Trans. With special permission from the BC Human Rights Commissioner this initiative provides access to career development opportunities prioritized job screening and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative in line with the BC Personal Information Protection Act (PIPA). For details please see our dedicated Talent Programs job posting.

This role is an open vacancy and our hiring process is grounded in fairness transparency and inclusion. We are committed to an inclusive barrier-free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process (including the application stage) we encourage you to let us know by contacting our Talent Acquisition team at Were here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality so you can participate fully in the process.

Required Experience:

Senior Manager