Dayforce is 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
Requirements
- 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
Responsibilities
- 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
- Lead platform selection, POC, and buildout of Agentic AI capabilities
- Design and manage Azure-based data platforms (Data Lake, Synapse, Data Factory, Data Fabric)
- Own data pipeline, data product, and asset delivery
- Define and enforce data governance and security practices
Other
- 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
- Strong business partnership and change management skills
- Skilled at cross-functional collaboration and aligning delivery with enterprise priorities
- Demonstrated ability to manage complex projects, budgets, and vendor relationships
