Product Operations Manager, AI & Insights

GS1 Canada

. Own the end-to-end product operational model, from intake and portfolio governance through analytics, measurement, and continuous improvement .

Posted 9/21/2026full-timeToronto • CanadaMid-LevelSenior💰 CA$80,000 - CA$100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product operations and analytics, with a strong focus on KPI framework design, data governance, and product management processes. Proficient in leveraging analytics tools and methodologies to drive product success and operational efficiency.

Highest-signal resume keywords

Product Operations ManagementKPI Framework DesignSQL Data AnalysisPendo Analytics ToolGenerative AI Implementation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Product AnalyticsData AnalysisKPI FrameworksPortfolio ManagementGovernance StandardsDocumentation TemplatesRisk FlaggingUser Behavior AnalysisFeedback SynthesisOperational Improvement

Soft Skills

Excellent CommunicationCross-Functional CollaborationInsight PresentationProblem-SolvingAdaptability

Tools & Technologies

PendoAmplitudeJiraConfluenceAI Workbench

Industry Keywords

GS1 StandardsData GovernanceMaster Data ManagementProduct ManagementOperational Discipline

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own the end-to-end product operational model, from intake and portfolio governance through analytics, measurement, and continuous improvement
Report to the VP of Product Management and work cross-functionally with Engineering, Design, Data, Finance, and Marketing
Govern the rollout of GS1 Canada’s structured product operating model across teams
Define and maintain KPI frameworks and product success metrics across the product portfolio
Establish and govern the analytics platform, ensuring data quality, accessibility, and accuracy
Implement and manage executive dashboards that surface product trends, risks, and opportunities
Own the NPS program, including surveys, feedback consolidation, sentiment analysis, and insight presentation
Establish a centralized customer research repository and synthesize fragmented feedback into prioritized insights
Partner with Subscriber Support and Account Management to identify field signals and operational friction
Implement and optimize product analytics tooling, including Pendo and related platforms
Design and deliver ad-hoc analyses and actionable recommendations on product opportunities and user behavior
Evaluate, pilot, and scale generative AI and agentic system capabilities within the product organization
Maintain the AI Workbench, including AI skills, prompts, responsible-use governance, and enablement
Establish intake discipline, portfolio visibility, dependency tracking, risk flagging, and executive portfolio health reporting
Create and enforce product governance standards, documentation templates, decision logs, launch checklists, and post-launch reviews
Own the product management technology stack, tools, platforms, and integrations
Standardize product processes, communications, and documentation across teams
Develop self-service product insight capabilities through dashboards, templates, documentation, and training
Support onboarding and integration of new product managers

Requirements

What you’ll need

4+ years in product operations, product analytics, or related operational roles supporting product management teams or product-led organizations; or equivalent product management experience with deep analytics and operational discipline
Demonstrated expertise in designing and maintaining KPI frameworks, product analytics platforms, and measurement systems at scale
Working knowledge of tools like Pendo, Amplitude, or similar analytics platforms
Experience leading intake, roadmap prioritization, and portfolio management processes in complex product organizations with multiple teams and competing priorities
Strong SQL and data analysis skills; ability to write queries, interpret results, and translate data into actionable product narratives
Proven ability to standardize and scale product processes, documentation, and governance without creating bureaucracy
Familiarity with AI/ML and emerging technologies, including hands-on experience with generative AI tools and agentic systems
Excellent written and verbal communication; ability to synthesize complex data into clear narratives for product managers, executives, and cross-functional partners
Knowledge of GS1 standards, data governance principles, or master data management is an asset but not required
Willingness to build GS1 standards, data governance, or master data management depth quickly
Experience with product management tools such as Jira and Confluence, or similar
Ability to evaluate and integrate new platforms into existing workflows