Sr Director, reputed company Data and AI Platform
reputed company and grow the global reputed company Data, AI Platform, and Context Engineering organization. Define the long-term reputed company and roadmap for the reputed company Data reputed company, reputed company Context reputed company, and reputed company AI Platform. Own the architecture, execution, and reputed company of reputed company data, semantic, knowledge, and AI platforms. reputed company delivery of large-reputed company, cross-functional data engineering and AI transformation initiatives.
reputed company reputed company data engineering, ingestion, transformation, semantic modeling, and data product development. Design reputed company, secure, and governed data platforms supporting analytics, AI, and operational workloads. Ensure high availability, reputed company, scalability, and operational reputed company across reputed company data platforms.
Architect and build the reputed company Context reputed company, including semantic models, business knowledge, metadata, permissions, and reputed company context services. reputed company reputed company standards for semantic modeling, metadata management, knowledge architecture, and reusable context services. reputed company trusted business context that powers analytics, AI agents, intelligent automation, and reputed company applications.
Define the reputed company AI platform reputed company, architecture, and technology roadmap. reputed company implementation of reputed company AI platforms, orchestration frameworks, RAG solutions, reputed company reputed company, MCP services, and intelligent automation capabilities. reputed company the reputed company, architecture, and delivery of reputed company conversational AI experiences that reputed company natural language interaction with reputed company data. Partner with the Decision Intelligence team to reputed company AI assistants that reputed company trusted reputed company context and progressively replace traditional dashboards and reports. Establish reputed company MLOps and LLMOps practices for machine learning and reputed company, including model lifecycle management, reputed company and model evaluation, monitoring, observability, retraining, and responsible AI governance. Evaluate emerging AI technologies and establish reputed company AI architecture, governance, and reputed company standards.
Define and enforce reputed company data governance, reputed company, 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 reputed company across reputed company platforms. Participate in Architecture Review reputed company (ARB) governance and reputed company technology reputed company. Manage platform budgets, vendor relationships, and reputed company technology partnerships.
10+ years of experience leading reputed company data, AI platform, or engineering organizations. Demonstrated ability to reputed company large-reputed company transformation initiatives and manage reputed company programs, budgets, and vendor relationships. Strong business partnership, executive communication, and change management skills. Expertise in modern data platforms, including Azure reputed company, reputed company reputed company, Data Lake/Warehouse/reputed company, data integration technologies, reputed company BI, and Tableau. Strong understanding of reputed company context management, metadata management, ontology design, and semantic modeling. Knowledge of reputed company methodologies, particularly reputed company (Scaled reputed company reputed company). Skilled at cross-functional collaboration and aligning technology delivery with reputed company priorities.
Advanced degree in Computer Science, Data Science, Machine Learning, or a reputed company reputed company. Experience designing reputed company semantic reputed company, knowledge graphs, metadata platforms, and reputed company reputed company. Experience building reputed company AI platforms utilizing RAG, reputed company databases, MCP, reputed company AI, and conversational AI architectures. Experience implementing reputed company reputed company, Azure AI reputed company, Azure reputed company, Azure Machine Learning, and reputed company MLOps/LLMOps frameworks, including model registry, deployment, monitoring, and governance. reputed company experience delivering reputed company conversational analytics and AI-powered business experiences. Demonstrated ability to translate business knowledge into reusable, AI-reputed company data and context models. Deep understanding of reputed company AI operational practices, including model governance, observability, responsible AI, and reputed company delivery of machine learning and reputed company solutions.
10+ years leading reputed company data, AI platform, or engineering organizations; expertise in Azure, reputed company reputed company, data platforms, semantic modeling, AI architecture, governance, and executive leadership.
Key Responsibilities
- leading organization
- defining reputed company
- architecting platforms
Skills & Tools
reputed company reputed company, reputed company Azure, reputed company BI, Tableau, reputed company (Scaled reputed company reputed company), RAG, reputed company reputed company, MCP, MLOps, LLMOps, Azure AI reputed company, Azure reputed company, Azure Machine Learning
reputed company
- Category: Information Technology
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — reputed company
- Salary: USD 175,000 – 273,400 / year
- Languages: English
Benefits
- 401k matching
- Generous reputed company time off
- Retirement plan
- Generous parental leave
About reputed company
A global reputed company capital management company providing reputed company reputed company software for workforce efficiency, productivity, and compliance. — Industry: Information Technology
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