Director, Data Strategy & AI Enablement

Position Overview

The Director, Data Strategy & AI Enablement is a senior leadership role responsible for defining and executing YORK1's enterprise-wide data, analytics, and artificial intelligence strategy. This role leads the transformation of YORK1's data ecosystem into a modern, scalable, and insight-driven environment that enables operational efficiency, strategic decision-making, and innovation. The incumbent will oversee enterprise data governance, business intelligence, advanced analytics, and AI/RPA enablement across all business systems, including ERP platforms such as Trux, Nylus, Jonas, Hub Spot, and others.

A key focus of this role is driving digital transformation through automation, predictive analytics, and AI adoption aligned with YORK1's strategic growth objectives. This role also provides leadership over SharePoint-based intranet systems, enterprise reporting frameworks, and digitization initiatives, ensuring data integrity, accessibility, and security across the organization.

• Define and lead YORK1's enterprise data strategy, governance framework, and roadmap.
• Oversee data architecture, integration, and consolidation across multiple ERP and business systems.
• Establish and enforce data quality standards, metadata management, and master data governance.
• Ensure scalable, secure, and high-performance data environments that support business growth.

• Lead enterprise reporting, dashboards, and analytics delivery across business units.
• Develop predictive analytics capabilities to support forecasting, operational planning, and decision-making.
• Oversee the design and delivery of data visualization solutions and executive reporting frameworks.
• Monitor KPIs and ensure consistent, trusted reporting across all functions.

• Develop and execute York1's AI and automation strategy, including RPA implementation.
• Identify and prioritize AI use cases to improve operational efficiency, cost reduction, and productivity.
• Partner with business leaders to embed AI-driven insights into core workflows and decision-making processes.
• Evaluate and implement emerging technologies, including machine learning and intelligent automation tools.

• Provide strategic oversight of ERP and business systems including Trux, Nylus, Jonas, Hub Spot, and others.
• Ensure system integration supports a unified data ecosystem and single source of truth.
• Collaborate with IT leadership to modernize legacy systems and enable scalable digital platforms.
• Align system capabilities with business transformation and operational needs.

• Oversee the architecture, governance, and optimization of YORK1's SharePoint-based intranet.
• Drive digitization of paper-based workflows and manual business processes.
• Enhance collaboration tools and knowledge management systems across the organization.

• Partner with executive leadership on budgeting, forecasting, and strategic planning using data-driven insights.
• Provide regular updates to senior leadership on data initiatives, AI adoption, and digital transformation progress.
• Act as a trusted advisor on data, analytics, and automation strategy.

• Ensure compliance with data governance, privacy, and cybersecurity standards.
• Oversee system access controls, audit processes, and data protection protocols.
• Ensure all data and system changes follow formal change management processes and are fully documented.

• Lead and develop a multidisciplinary team of data analysts, engineers, systems specialists, and IT professionals (onshore and offshore).
• Provide mentorship, performance management, and technical leadership.
• Foster a culture of innovation, continuous improvement, and accountability.

• Bachelor's degree in Information Technology, Computer Science, Data Science, or related field (Master's preferred).
• 8+ years of progressive experience in data management, analytics, ERP systems, or enterprise technology roles.
• Robust experience in enterprise data strategy, governance, and analytics leadership.
• Proven expertise in SharePoint administration and enterprise content management.
• Advanced knowledge of SQL and relational database systems.
• Demonstrated experience with BI tools (e.g., Power BI, Tableau) and data visualization frameworks.
• Strong understanding of AI, machine learning, and RPA technologies and their business applications.
• Experience leading enterprise digital transformation initiatives.
• Strong leadership, communication, and stakeholder management skills.
• Commitment to continuous learning in emerging technologies including AI, cybersecurity, cloud platforms, and agile methodologies.

• Enterprise Data Quality Score
• Business Intelligence Adoption Rate
• AI/Automation Implementation Rate
• Operational Cost Savings…