Vice President, AI and Data

THE OPPORTUNITY Our client, a leading Canadian infrastructure organization, is seeking an accomplished and strategic Vice President, AI and Data to join its Executive Leadership Team. Reporting directly to the President & Chief Executive Officer, the Vice President, AI and Data will be responsible for defining and executing an enterprise-wide data and analytics strategy that enables the organization's strategic priorities and delivers measurable business value. The Vice President, AI and Data will play a pivotal role in transforming the organization into a truly data-driven enterprise by leveraging advanced analytics, data science, business intelligence, and emerging AI capabilities to support revenue growth, operational excellence, customer insights, and enterprise performance. This position offers a unique opportunity for an experienced executive to establish enterprise-wide data capabilities while serving as a strategic advisor to the CEO and Executive Leadership Team. KEY RESPONSIBILITIES Enterprise Data & Analytics Strategy Define and execute a comprehensive enterprise data and analytics strategy aligned with the organization's strategic plan and business priorities. Develop and lead a roadmap to advance enterprise data maturity, including governance, analytics, artificial intelligence, and machine learning capabilities. Ensure alignment between data investments, business objectives, and measurable value creation through revenue growth, cost optimization, and improved operational performance. Establish a long-term vision for how data and analytics will enhance enterprise competitiveness and decision-making. Data, Analytics & Insights Leadership Lead and scale enterprise capabilities across data analytics, data science, business intelligence, and insights generation. Champion a culture of data-driven decision-making throughout the organization. Oversee the development and application of predictive models, advanced analytics, and AI-enabled solutions to support pricing, forecasting, customer insights, and operational decision-making. Enable enterprise-wide self-service analytics and improve data literacy, accessibility, and trust across business functions. Revenue Growth & Operational Performance Partner with business leaders to leverage data and analytics in support of revenue optimization, pricing strategies, forecasting, customer behavior analysis, traffic modelling and performance improvement initiatives. Identify and drive cost optimization opportunities through enhanced analytics, automation, and improved operational decision-making. Develop business cases, analytical models, and reporting capabilities that improve investment decisions and operational outcomes. Ensure analytics programs produce measurable business impact and contribute to enterprise performance objectives. Data Governance, Quality & Risk Management Establish and oversee enterprise-wide data governance, data quality, analytics, and AI/ML capabilities. Ensure compliance with regulatory, contractual, and organizational requirements related to data management and usage. Promote secure, ethical, and responsible use of data across the enterprise. Strengthen organizational confidence in data through robust governance and quality frameworks. Technology & Enterprise Collaboration Partner closely with the Chief Information Officer and technology leadership to ensure scalable, secure, and modern data platforms and architectures. Define business-driven data requirements and prioritize enterprise analytics initiatives. Support the implementation and adoption of tools, platforms, and capabilities required to enable advanced analytics and business intelligence. Ensure strong alignment between business priorities, technology investments, and data strategies. Strategic Advisory & Enterprise Leadership Serve as a trusted advisor to the CEO and Executive Leadership Team on the strategic application of data and analytics. Support strategic planning, performance improvement, business transformation, and enterprise-wide decision-making through actionable insights. Lead cross-functional initiatives that integrate analytics, business process transformation, and organizational change. Influence enterprise priorities through evidence-based recommendations and analytical rigor. Performance Measurement & Executive Reporting Define and implement enterprise performance metrics, dashboards, and reporting frameworks. Measure and communicate the impact of data and analytics initiatives on revenue growth, cost reduction, operational performance, and strategic outcomes. Deliver clear, meaningful reporting to executive leadership and the Board of Directors. Establish transparent performance measurement practices that support accountability and continuous improvement. Leadership & Capability Development Build and lead a high-performing team across data analytics, data science, business intelligence, and enterprise insights. Foster a culture of innovation, accountability, continuous learning, and business partnership. Develop organizational capability in analytics, data literacy, and AI adoption. Ensure future talent, leadership succession, and capability requirements are aligned with enterprise growth objectives. CANDIDATE PROFILE The successful candidate will combine strong analytical expertise with strategic business acumen and a demonstrated ability to translate data into measurable business outcomes. They will possess executive presence, commercial orientation, and the ability to influence senior stakeholders while building enterprise-wide capabilities that drive long-term value creation. REQUIREMENTS Minimum 15 years of progressive leadership experience in data, analytics, business intelligence, digital transformation, or related disciplines. Experience operating within complex, asset-intensive, technology-enabled, infrastructure, transportation, financial services, telecommunications, or similarly data-rich environments. Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Business, or a related field. Demonstrated success building and scaling enterprise data and analytics functions that deliver measurable business outcomes. Experience leading enterprise-wide initiatives involving advanced analytics, predictive modelling, and AI-driven decision-making. EXPERIENCE Deep expertise in enterprise data strategy, analytics, business intelligence, and data governance. Strong understanding of advanced analytics, predictive modelling, artificial intelligence, and machine learning methodologies. Demonstrated success applying analytics to revenue optimization, forecasting, customer insights, operational effectiveness, and business performance improvement. Strong commercial and financial acumen with the ability to connect analytics investments to strategic and financial outcomes. Proven ability to influence executive teams and drive enterprise-wide adoption of data-driven decision-making. Exceptional communication, stakeholder engagement, and executive leadership capabilities. Ability to operate effectively across business and technology functions while maintaining a strong focus on value realization. The Vice President, AI and Data role is a current existing vacancy. LHH Knightsbridge does not use artificial intelligence (AI) to screen, assess, or select applicants for a position.

The Vice President, AI and Data will define and execute an enterprise-wide data and analytics strategy to support the organization's strategic priorities. They will lead the development of data capabilities and promote a culture of data-driven decision-making across the organization.

Candidates should have a minimum of 15 years of progressive leadership experience in data and analytics, with a strong background in enterprise data strategy and business intelligence. A Bachelor's or Master's degree in a related field is required, along with demonstrated success in building data functions that deliver measurable business outcomes.

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Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Strategy
• Analytics
• Business Intelligence
• Data Governance
• Artificial Intelligence
• Machine Learning
• Predictive Modelling
• Revenue Optimization
• Operational Effectiveness
• Stakeholder Engagement
• Executive Leadership
• Data Literacy
• Digital Transformation
• Data Science
• Business Transformation
• Performance Measurement

• Management & Leadership
• Data & Analytics
• Technology
• Engineering
• Consulting

Formation minimale

Baccalauréat

Expérience minimale

10+ ans

Postuler avant le

14 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Executive

Mode de candidature

La candidature directe est offerte