Sr. Director, Business Intelligence and Analytics
Role Overview
Senior enterprise leader responsible for building and leading GS1 Canada’s business intelligence, analytics, and market insight capability.
Provides trusted insight on strategic performance, subscriber growth and retention, product and service adoption, sector opportunity, and market dynamics.
Leads analysts and market intelligence professionals and shifts the function toward predictive, decision-oriented analytics.
Transforms analytics through responsible AI adoption, including roadmap, operating model, capabilities, and governance.
Translates enterprise strategy into measurable outcomes and owns the enterprise KPI and performance framework.
Partners across Product, Subscriber Management, Finance, Marketing, Industry Relations, Technology, Operations, Data Governance, Privacy, Cybersecurity, and the AI Council.
Key Skills for This Role
Full Job Posting
Position overview
Senior enterprise leader responsible for building and leading GS1 Canada’s business intelligence, analytics, and market insight capability.
Provides trusted insight on strategic performance, subscriber growth and retention, product and service adoption, sector opportunity, and market dynamics.
Leads analysts and market intelligence professionals and shifts the function toward predictive, decision-oriented analytics.
Transforms analytics through responsible AI adoption, including roadmap, operating model, capabilities, and governance.
Translates enterprise strategy into measurable outcomes and owns the enterprise KPI and performance framework.
Partners across Product, Subscriber Management, Finance, Marketing, Industry Relations, Technology, Operations, Data Governance, Privacy, Cybersecurity, and the AI Council.
Business intelligence and analytics
- Build and mature enterprise reporting, subscriber and sector analytics, product and service usage analytics, market intelligence, and growth insights.
- Align definitions, metrics, dashboards, and reports across business units to establish a single version of the truth.
- Lead executive dashboards, scorecards, and recurring insight products spanning growth, retention, churn, adoption, engagement, usage, sector penetration, revenue, and strategic execution.
- Advance descriptive reporting to diagnostic, predictive, and prescriptive insight.
- Establish analytical quality, metric, dashboard governance, documentation, reproducibility, and executive communication standards.
- Improve data accessibility, quality, reliability, and fitness for analytical and AI use with Technology, Data Governance, and business teams.
Market and subscriber intelligence
- Combine subscriber and operational data, sector insight, competitive intelligence, and external market trends.
- Monitor subscriber expectations, digital and agentic commerce, product data management, regulation, sustainability, 2D barcode adoption, AI-enabled data management, and other relevant developments.
- Synthesize quantitative and qualitative signals from sector boards, working groups, subscriber interactions, support channels, research, and industry forums.
- Brief executives on market shifts, subscriber expectations, competitors, opportunities, and strategic risks; recommend adjustments to strategic focus, product priorities, positioning, education, or market engagement.
Enterprise measurement
- Define and maintain enterprise KPIs aligned to strategy, subscriber value, growth, adoption, financial performance, and operational outcomes.
- Set consistent definitions and ownership for growth, retention, churn, engagement, adoption, usage, sector penetration, revenue trends, and strategic progress.
- Partner with Finance and functional leaders to make measures reliable, decision-useful, and consistent across reporting.
- Identify measurement gaps and recommend improvements to data, instrumentation, reporting, and accountability.
- Focus leadership on key measures and connect activity to subscriber outcomes, growth impact, and strategic value.
Requirements
- Demonstrated analytical judgment and strategic thinking.
- Executive communication capability.
- Change leadership and people development capability.
- Ability to lead an enterprise-facing analytics function and work across business and technology teams.
- Ability to guide responsible adoption of AI in analytical workflows.
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