Description

You will lead strategic data and AI initiatives to drive data-driven decision-making and organizational innovation.

Responsibilities

• Lead cross-functional teams of AI engineers, data scientists, and data visualization engineers to transform data into actionable insights.
• Develop and maintain data architectures for efficient gathering, storage, and retrieval across Enterprise IT and OT systems.
• Own data governance standards and architecture in alignment with cybersecurity frameworks and enterprise governance.
• Execute AI strategies and oversee the full machine learning lifecycle, ensuring models are transparent, explainable, and ethical.
• Represent data and AI requirements during business case development, commercial strategies, and vendor pricing discussions.
• Identify and mitigate risks related to data governance and cloud services.

Required Skills

• 8+ years of experience designing, building, and supporting large-scale modern data platforms.
• Experience managing multiple large, cross-functional teams and influencing senior stakeholders.
• Expertise in Azure Purview, Azure ML Studio, and Azure OpenAI.
• Knowledge of master data management, document management, and data warehouses.
• Experience with data security policy creation, control definitions, and governance processes.
• Working knowledge of data architecture, encryption, privacy policies, and backup/archival processes.
• Ability to translate complex technical concepts into actionable business requirements.
• Understanding of Gen-AI LLM models and Responsible AI guardrails.
• Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related field.

Preferred Skills

• Master's degree in a technical or business field.

Key Skills

Education

Any Graduate