Sr. Director, Enterprise Data and AI Platform - Canada
1 day ago
Job description
About the opportunityWe are seeking an experienced and visionary Sr.
Director of Enterprise Data and AI Platform to lead the strategic direction, design, and execution of our global enterprise data and AI capabilities to support our business functions such as Sales, Marketing, Finance, HR, Customer success, support and services, legal etc.
This role will be responsible for architecting and maintaining our modern data estate, enabling advanced analytics and machine learning on Azure Data Lake, driving data needs for enterprise reporting, and leading the strategy, platform selection, and implementation of Agentic AI capabilities.
The successful candidate will manage a diverse global team—including direct reports, managers, and external partners—and oversee platform architecture, data engineering, and vendor relationships.
This role is both highly strategic and hands-on, demanding deep technical expertise, cross-functional leadership, and a passion for data-driven innovation.
This role will report to VP, Enterprise Data, analytics and governance.What you'll get to do
Enterprise Data Leadership
Lead and grow a global data and AI engineering team
Set strategy for enterprise data architecture and engineering
Oversee execution of large-scale, complex data initiatives
Agentic AI Strategy & Implementation
Lead platform selection, POC, and buildout of Agentic AI capabilities
Define long-term AI strategy and drive innovation
Build and Lead the AI Platform COE
Oversee the design, development, and deployment of machine learning models and AI solutions that address key business challenges.
Modern Data Platform & Architecture
Design and manage Azure-based data platforms (Data Lake, Synapse, Data Factory, Data Fabric)
Own data pipeline, data product, and asset delivery
Align platform architecture with business goals and roadmaps
Analytics & Intelligence Enablement
Partner with business leaders to enable data-driven decisions
Support advanced analytics, ML, and real-time enterprise reporting
Governance, Security & Standards
Define and enforce data governance and security practices
Ensure data availability, protection, and SLA performance
Architecture & Vendor Management
Participate in architecture governance (ARB) and enterprise IT strategy
Manage platform budgets and third-party vendor relationships
Skills and experience we value
Expertise in modern data stack and infrastructure: Azure Cloud, Data Lake/Warehouse/Mesh, Data Fabric, data integration tools, Power BI, Tableau.
Proven leadership of Data & ML Engineering/Analytics in global environment.
Deep understanding of ML operations (MLOps) practices, including model monitoring, retraining, and lifecycle management.
Strong expertise in machine learning techniques, statistical modeling, and AI technologies, with hands-on experience in deploying models at scale
Hands-on experience with AI techniques such as natural language processing, computer vision, and deep learning (e.g., PyTorch, TensorFlow, Hugging Face).
Experience building cross-functional enterprise data warehouses for business analytics.Strong background in AI/ML technologies, with familiarity in Agentic AI platforms such as Replit, Vercel etc
Knowledge of Agile methodologies, particularly SAFe (Scaled Agile Framework).
Demonstrated ability to manage complex projects, budgets, and vendor relationships.
Strong business partnership and change management skills.
Skilled at cross-functional collaboration and aligning delivery with enterprise priorities.
Advanced degree in computer science, data science, machine learning, or a related field is a plus.
10+ years of experience in Enterprise data and AI leadership roles.
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