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Added 32 mins ago
W
Manager, Program Management (People Analytics)
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- Full-time
Strong knowledge of BI tools such as Power BI, Tableau, or other BI tools is an asset.
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Intern, Methods (Winter 2027)
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Intern Materials & Processes (Winter 2027)
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Closed listing

Raise

Delivery Lead - Data & AI

Mississauga, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Oct 17, 2026
Experience: Raise is an established hiring firm with over 65 years of experience.
Posting language: English
Posted: Sep 17, 2026

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Original job description

Archived listing. The details below describe a past opening.

Location: Mississauga, ON - Hybrid (3 days onsite)
Contract Length: 6 Months

We at Raise are hiring a Delivery Lead - Data & AI for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work.

Responsibilities

End-to-End Delivery Ownership and Milestone Control 30%

Take clear accountability for delivering assigned business Epics and Features from approved backlog through design, build, test, production transition and warranty. Translate priorities into an integrated delivery plan covering milestones, resources, dependencies, constraints, quality activities, release steps and decisions. Maintain the authoritative schedule and forecast, communicate variance early and drive recovery plans when commitments are at risk.

Agile, Sprint and Release Leadership 25%

Lead forward-looking sprint and release planning with Product Managers, Business Analysts, Functional Managers, and developers using evidence-based capacity and estimation. Facilitate refinement, planning, daily coordination, reviews and retrospectives; ensure every sprint has a clear goal and work meets the Definition of Ready before commitment. Protect team focus, control work in progress, and ensure delivery commitments are met.

Cross-Functional Orchestration, Risks and Blocker Removal 25%

Lead through influence, credibility and disciplined follow-through across teams and vendors that do not report to the role. Own the risk, assumption, issue, dependency and decision log; establish owners and due dates and drive items to closure. Anticipate technical, data, vendor, governance, security, business-readiness and environment constraints before they threaten a milestone, and escalate with a clear recommendation and decision required.

Delivery Performance and Continuous Improvement 10%

Keep Azure DevOps delivery data current, auditable and useful for decisions. Track milestone predictability, sprint say/do, cycle time, blocker age, work in progress, forecast variance and release readiness. Use retrospectives and delivery evidence to improve estimation, planning, collaboration and the delivery playbook.

Other10%

Performs other related duties as assigned.

Qualification

Education

Minimum: Bachelor's degree in Technology, Computer Science, Engineering, Data Science, Information Systems or a related field, or an equivalent combination of education and senior delivery experience.
Preferred: Master's degree, MBA or graduate education in technology management, analytics, engineering or business transformation.

Delivery Experience

Minimum 10+ years of progressive technology delivery, program, project or agile leadership experience, including 5+ years leading complex data engineering, analytics, business intelligence, machine learning or AI delivery across multidisciplinary teams.
Demonstrated accountability for business Epics and Features from planning through build, testing, production transition and warranty. Proven ability to lead senior developers, data scientists, and AI engineers and vendors without formal authority and to recover work that is off plan.
Preferred: Experience delivering on Microsoft Fabric or comparable platforms. Experience in an airport, transportation, infrastructure, operational or regulated 24/7 environment. Experience coordinating production releases and transition to a managed-service provider.

Agile and Delivery Methods

Minimum: Expert knowledge of agile and lean delivery, sprint and release planning, estimation, flow metrics, dependency management, risk and issue management, quality gates and change control.
Advanced experience using Azure DevOps or a comparable platform for backlogs, capacity, sprint planning, milestones, dependencies, RAID and auditable delivery reporting.
Data and AI Technical Fluency
Minimum Practical technical literacy in data pipelines, lakehouse and medallion patterns, data and semantic modelling, Power BI, analytics, ML model lifecycles, MLOps, APIs, CI/CD, data quality and production support.
Able to challenge a delivery plan constructively.

Leadership and Communication

Minimum: Exceptional organization, structured problem solving, judgment, facilitation, negotiation and concise executive communication. Calm, credible leadership under pressure; relentless follow-through; ability to influence without authority; and a strong bias toward transparent evidence rather than optimistic reporting.

Certifications And Other Assets

Preferred: PMP, PMI-ACP, Certified Scrum Professional, SAFe, PRINCE2 or equivalent delivery certification.
Microsoft Azure, Fabric, Power BI or Azure AI certifications are assets. Knowledge of responsible AI, data governance, privacy, security and audit expectations is preferred.
Candidate must be able to obtain and retain a Transportation Security Clearance.

Looking for meaningful work? We can help!

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com

#FIN24

About employer

More about this job

Responsibilities

The Delivery Lead is responsible for end-to-end delivery ownership of business Epics and Features, ensuring milestones are met through effective planning and cross-functional orchestration. They facilitate Agile ceremonies, manage risks and blockers, and drive continuous improvement in delivery performance using data-driven insights.

Requirements

Candidates must have at least 10 years of progressive technology delivery experience, including 5 years specifically in data engineering, analytics, or AI. A bachelor's degree in a technical field is required, along with expert knowledge of Agile methodologies and proficiency in Azure DevOps.

Skills

Data engineering
Artificial intelligence
Machine learning
Agile leadership
Azure devops
Project management
Business intelligence
Data modeling
Power bi
Stakeholder management
Risk management
Dependency management
Strategic planning
Cross-functional leadership
Technical delivery
Release management

Visa sponsorship

Not detected in the job text

Keywords

Data & AI
Azure DevOps
Agile
Lean
Microsoft Fabric
Power BI
MLOps
CI/CD
Data Pipelines
Lakehouse
Medallion Patterns
Semantic Modelling
PMP
PMI-ACP
Certified Scrum Professional
SAFe
PRINCE2
RAID
Delivery Management
Stakeholder Influence
Transportation Security Clearance
Business Intelligence
Machine Learning
Data Governance
Privacy
Security
Audit
Program Leadership
Technical Delivery
Release Planning

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