Forward Deployed - Data & AI Product Manager
Role Overview
Support a Quality AI initiative for an enterprise client as a client-facing product manager and extension of the client’s Data & Analytics team.
Bridge business needs and technical execution, oversee product delivery, challenge vendor recommendations, and support reliable, user-friendly AI workflows.
Engage Quality stakeholders, technology teams, and implementation vendors to ensure solutions meet business objectives and deliver measurable value.
Key Skills for This Role
Full Job Posting
Opportunity
Support a Quality AI initiative for an enterprise client as a client-facing product manager and extension of the client’s Data & Analytics team.
Bridge business needs and technical execution, oversee product delivery, challenge vendor recommendations, and support reliable, user-friendly AI workflows.
Engage Quality stakeholders, technology teams, and implementation vendors to ensure solutions meet business objectives and deliver measurable value.
Product delivery and stakeholder coordination
- Gather stakeholder requirements, define priorities, and translate business needs into product deliverables.
- Coordinate scope, timelines, dependencies, deliverables, and implementation priorities across business and technical teams.
- Communicate product progress, risks, decisions, and recommendations to stakeholders and leaders.
- Challenge assumptions, solutions, and vendor work to ensure alignment with business requirements and enterprise standards.
- Review solution architectures, AI workflows, interfaces, data mappings, testing strategies, and implementation plans.
- Assess AI solutions for business fit, human oversight, and transparency into findings, exceptions, and recommendations.
- Shape interfaces for documentation review, investigation, exception assessment, AI recommendation evaluation, and release decisions.
- Coordinate business validation, UAT, defect resolution, and launch readiness; track risks, dependencies, issues, and decisions.
- Support operational transition and stakeholder adoption.
- Define and refine KPIs and measurement frameworks, validate assumptions, track benefits, and connect outcomes to business value.
- Collaborate with data and analytics teams to validate data requirements, mappings, reporting needs, and information quality.
- Document product requirements, decisions, risks, dependencies, action items, and delivery status.
Candidate qualifications
- 4–8 years of experience in product management, data and analytics, business analysis, digital transformation, or a related field.
- Experience supporting enterprise data, analytics, AI, or digital products from requirements through implementation and launch.
- Client-facing ability to build trusted relationships and coordinate business stakeholders, technical teams, and external vendors.
- Experience reviewing technical deliverables, challenging solutions, identifying gaps, and aligning business expectations with implementation.
- Familiarity with Generative AI, document intelligence, OCR, AI agents, or human-in-the-loop workflows.
- Strong communication, facilitation, presentation, and stakeholder management skills, including navigating competing priorities.
- Experience coordinating UAT, business validation, issue resolution, and implementation readiness.
- Ability to define success metrics, evaluate product performance, and relate outcomes to measurable business value.
- Strong organization and attention to detail; ability to manage multiple workstreams and work independently while maintaining team alignment.
Compensation
- The posting lists a salary range of CAD 150,000–160,000 without specifying a pay cadence.
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