Sr Director, Enterprise Data and AI Platform

• Lead enterprise data engineering, ingestion, transformation, semantic modeling, and data product development.
• Design scalable, secure, and governed data platforms supporting analytics, AI, and operational workloads.
• Ensure high availability, performance, scalability, and operational excellence across enterprise data platforms.

• Architect and build the Enterprise Context Layer, including semantic models, business knowledge, metadata, permissions, and enterprise context services.
• Drive enterprise standards for semantic modeling, metadata management, knowledge architecture, and reusable context services.
• Enable trusted business context that powers analytics, AI agents, intelligent automation, and enterprise applications.

• Define the enterprise AI platform strategy, architecture, and technology roadmap.
• Lead implementation of Agentic AI platforms, orchestration frameworks, RAG solutions, vector search, MCP services, and intelligent automation capabilities.
• Lead the strategy, architecture, and delivery of enterprise conversational AI experiences that enable natural language interaction with enterprise data.
• Partner with the Decision Intelligence team to deliver AI assistants that leverage trusted enterprise context and progressively replace traditional dashboards and reports.
• Establish enterprise MLOps and LLMOps practices for machine learning and generative AI, including model lifecycle management, prompt and model evaluation, monitoring, observability, retraining, and responsible AI governance.
• Evaluate emerging AI technologies and establish enterprise AI architecture, governance, and security standards.

• Define and enforce enterprise data governance, security, and AI governance practices.
• Define standards and governance for AI model lifecycle management, including model registry, monitoring, explainability, compliance, and responsible AI practices.
• Ensure data availability, protection, compliance, and SLA performance across enterprise platforms.
• Participate in Architecture Review Board (ARB) governance and enterprise technology strategy.
• Manage platform budgets, vendor relationships, and strategic technology partnerships.

• 10+ years of experience leading enterprise data, AI platform, or engineering organizations.
• Demonstrated ability to lead large-scale transformation initiatives and manage complex programs, budgets, and vendor relationships.
• Strong business partnership, executive communication, and change management skills.
• Expertise in modern data platforms, including Azure Cloud, Microsoft Fabric, Data Lake/Warehouse/Mesh, data integration technologies, Power BI, and Tableau.
• Strong understanding of enterprise context management, metadata management, ontology design, and semantic modeling.
• Knowledge of Agile methodologies, particularly SAFe (Scaled Agile Framework).
• Skilled at cross-functional collaboration and aligning technology delivery with enterprise priorities.

• Advanced degree in Computer Science, Data Science, Machine Learning, or a related field.
• Experience designing enterprise semantic layers, knowledge graphs, metadata platforms, and enterprise knowledge management solutions.
• Experience building enterprise AI platforms utilizing RAG, vector databases, MCP, Agentic AI, and conversational AI architectures.
• Experience implementing Microsoft Fabric, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, and enterprise MLOps/LLMOps frameworks, including model registry, deployment, monitoring, and governance.
• Proven experience delivering enterprise conversational analytics and AI-powered business experiences.
• Demonstrated ability to translate business knowledge into reusable, AI-ready data and context models.
• Deep understanding of enterprise AI operational practices, including model governance, observability, responsible AI, and continuous delivery of machine learning and generative AI solutions.

What’s in it for you

Dayforce is fueled by the diversity of our talented employees.

We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique.

We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.

We encourage individuals to apply based on their passions.

Dayforce employees and their families are eligible to participate in the following benefits programs: medical, dental, vison, and life insurance.

Dayforce employees are also eligible to participate in a 401k plan (plus match) and a Global Employee Stock Purchase Plan.

Employees also receive unlimited Time Away From Work (in lieu of accrued vacation time), 10 paid US holidays, up to 80 hours of paid sick time and 17 weeks of paid parental leave, subject to the terms of the applicable policy or program.

With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life.

Our focus is not just on your job but on supporting you to be the best version of yourself.

Please note that the salary range mentioned in this job description should serve simply as a guide.

The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location.

Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization.

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Dayforce actively monitors all job applications to ensure authenticity.

Submissions determined to be fraudulent or misleading will be declined from the recruitment process

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