Forward Deployed - Data & AI Product Manager
Role Overview
Client-facing Data & AI Product Manager supporting a Quality AI initiative for a leading enterprise client.
Work as an extension of the client's Data & Analytics team, partnering with Quality business stakeholders, technology teams, and implementation vendors.
Provide hands-on product oversight to bridge business needs and technical execution and deliver measurable business value.
Key Skills for This Role
Full Job Posting
Opportunity
Client-facing Data & AI Product Manager supporting a Quality AI initiative for a leading enterprise client.
Work as an extension of the client's Data & Analytics team, partnering with Quality business stakeholders, technology teams, and implementation vendors.
Provide hands-on product oversight to bridge business needs and technical execution and deliver measurable business value.
Responsibilities
- Partner with business stakeholders, IT, data teams, and vendors; facilitate requirements discussions and translate needs into prioritized product deliverables.
- Coordinate scope, timelines, dependencies, deliverables, and implementation priorities across business and technical teams.
- Communicate progress, risks, decisions, and recommendations to stakeholders and leadership; challenge assumptions and vendor proposals.
- Review architectures, AI workflows, interfaces, data mappings, testing strategies, and implementation plans for business fit and enterprise standards.
- Assess AI solutions for human oversight and transparency; shape interfaces for documentation review, findings, exceptions, recommendations, and release decisions.
- Coordinate business validation, UAT, defect resolution, and launch readiness; track risks, issues, dependencies, and decisions.
- Support transition to operational use and prepare stakeholders to adopt the solution.
- Define and refine KPIs and measurement frameworks, track benefits, and connect delivery to efficiency, quality, consistency, and decision-making outcomes.
- Collaborate with data and analytics teams to validate data requirements, mappings, reporting needs, and information quality.
- Maintain documentation of product requirements, decisions, risks, dependencies, action items, and delivery status.
Experience and qualifications
- Four to eight 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 definition through implementation and launch.
- Client-facing experience coordinating business stakeholders, technical teams, and external vendors.
- Experience evaluating technical deliverables, identifying gaps, challenging proposed solutions, and aligning business expectations with implementation.
- Experience coordinating UAT, business validation, issue resolution, and implementation readiness.
Capabilities
- Strong communication, facilitation, presentation, and stakeholder management skills; able to navigate competing priorities and challenge stakeholders constructively.
- Able to define success metrics, evaluate product performance, and connect delivery outcomes to measurable business value.
- Strong organization and attention to detail; able to manage multiple workstreams in a fast-paced enterprise environment and work independently while maintaining alignment.
- Familiarity with Generative AI, document intelligence, OCR, AI agents, or human-in-the-loop workflows.
Salary range
- Salary range is CAD $150,000–$160,000.
About ShyftLabs
ShyftLabs is a growing data product company working with Fortune 500 clients.
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