Senior Director, Business Intelligence and Analytics

GS1 Canada

. Build, lead, and mature GS1 Canada’s business intelligence and analytics capability .

Posted 10/19/2026full-timeToronto • CanadaSenior💰 CA$145,000 - CA$165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates extensive experience in business intelligence and analytics, with a strong focus on AI-enabled transformation, enterprise performance management, and executive-level communication. Capable of leading cross-functional teams and developing actionable insights from complex data to drive strategic decision-making.

Highest-signal resume keywords

Business Intelligence LeadershipAI-Enabled Analytics TransformationEnterprise KPI DevelopmentExecutive Communication SkillsCross-Functional Collaboration

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

Business IntelligenceAnalyticsAI ApplicationsPredictive AnalyticsData GovernancePerformance ManagementDashboard DevelopmentMarket IntelligenceCustomer AnalyticsAutomation

Soft Skills

Change LeadershipAnalytical JudgmentData StorytellingTeam LeadershipInfluencing Without Authority

Industry Keywords

B2BSaaSDigital CommerceHealthcareSupply ChainRetailStandardsSubscriber-Based OrganizationsMarket OpportunityPerformance Frameworks

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Build, lead, and mature GS1 Canada’s business intelligence and analytics capability
Establish a trusted single version of the truth across business units
Lead enterprise dashboards, executive scorecards, and recurring insight products
Advance analytics from descriptive reporting to diagnostic, predictive, and prescriptive insight
Improve data accessibility, quality, reliability, and fitness for analytical and AI use
Build integrated subscriber, sector, and market intelligence capabilities
Monitor subscriber expectations, commerce, product data management, regulation, sustainability, barcode adoption, and AI-enabled data management trends
Provide executive briefings on market shifts, subscriber expectations, competitors, opportunities, and strategic risks
Define and maintain the enterprise KPI and measurement framework
Develop and execute a multi-year AI-enabled analytics transformation roadmap
Prioritize and scale AI use cases including automated reporting, anomaly detection, forecasting, segmentation, churn analysis, propensity analysis, and conversational analytics
Establish governance, validation, adoption, and responsible-use controls for AI analytics
Prepare executive and Board materials communicating performance, strategic progress, growth opportunities, and risks
Translate complex analysis into concise narratives and recommended actions
Partner across Product, Subscriber Management, Finance, Marketing, Industry Relations, Community Engagement, Technology, Operations, Data Governance, Privacy, Cybersecurity, and the AI Council
Build team structure, capabilities, workflows, service models, and operating rhythms
Coach analysts, manage performance, allocate capacity, and develop talent and succession plans

Requirements

What you’ll need

10+ years of progressive experience in business intelligence, analytics, market intelligence, enterprise performance, strategy, or related business leadership roles
Demonstrated experience building or transforming a business intelligence or analytics function, including changes to operating models, processes, tools, and team capabilities
Demonstrated experience leading the adoption of AI, machine learning, automation, or advanced analytics in business workflows and taking use cases from pilot to sustained use
Experience leading and developing analysts and influencing cross-functional teams in a complex organization
Proven ability to translate data and market signals into executive-level insight, decisions, and strategic recommendations
Experience developing enterprise KPIs, dashboards, scorecards, performance frameworks, and self-service analytics
Experience analyzing customer or subscriber behaviour, retention, churn, adoption, engagement, revenue trends, market opportunity, or product and service performance
Experience supporting executive leadership and Board-level reporting
Experience in B2B, data services, SaaS, digital commerce, retail, healthcare, supply chain, standards, or member- or subscriber-based organizations is an asset
Strong enterprise strategy, business intelligence, analytics, and performance management capability
Strong understanding of practical AI applications in analytics, including generative AI, predictive methods, automation, conversational analytics, and human-in-the-loop control
Demonstrated change leadership and ability to redesign work, build adoption, develop new capabilities, and realize measurable value from new technology
Strong analytical judgment, including distinguishing signal from noise, challenging assumptions, validating outputs, and communicating uncertainty
Ability to translate complex data into clear business narratives, executive-ready insights, and actionable recommendations
Strong understanding of subscriber or customer analytics, including segmentation, adoption, engagement, retention, churn, lifetime value, and market opportunity
Strong people leadership and ability to elevate the quality, relevance, efficiency, and strategic impact of team outputs
Strong executive communication skills, including Board-level writing, presentation, data storytelling, and facilitation
Strong cross-functional collaboration and influence without direct authority
Sound understanding of data governance, privacy, security, responsible AI, metric consistency, reporting standards, and analytical quality control