Senior Technical Specialist
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 28, 2026.
Job Summary
Role Summary:
Lead the design and implementation of AI-driven automation solutions to accelerate data discovery, governance, compliance, retention management, and operational efficiencies across enterprise data platforms.
Key Responsibilities:
Define and deliver AI and automation strategies for data governance, metadata management, and retention processes.
Design and implement AI-powered discovery, classification, lineage, and compliance solutions.
Develop automation frameworks for policy enforcement, retention, archival, and deletion controls.
Collaborate with architects, governance teams, and engineers to integrate AI capabilities into enterprise data platforms.
Evaluate and adopt GenAI, machine learning, and automation tools to improve productivity and decision-making.
Ensure AI solutions meet security, auditability, compliance, and operational requirements.
Key Skills:
AI/GenAI and Intelligent Automation
Data Governance and Metadata Management
Machine Learning and Process Automation
Cloud Data Platforms (GCP/Azure/AWS)
Python, APIs, and Automation Frameworks
Solution Architecture and Stakeholder Management
Experience:
8+ years of experience in Data Engineering, Analytics, Automation, or AI solutions, with proven experience delivering enterprise-scale AI and automation initiatives.
Key Responsibilities
Role Summary:
Lead the design and implementation of AI-driven automation solutions to accelerate data discovery, governance, compliance, retention management, and operational efficiencies across enterprise data platforms.
Key Responsibilities:
Define and deliver AI and automation strategies for data governance, metadata management, and retention processes.
Design and implement AI-powered discovery, classification, lineage, and compliance solutions.
Develop automation frameworks for policy enforcement, retention, archival, and deletion controls.
Collaborate with architects, governance teams, and engineers to integrate AI capabilities into enterprise data platforms.
Evaluate and adopt GenAI, machine learning, and automation tools to improve productivity and decision-making.
Ensure AI solutions meet security, auditability, compliance, and operational requirements.
Key Skills:
AI/GenAI and Intelligent Automation
Data Governance and Metadata Management
Machine Learning and Process Automation
Cloud Data Platforms (GCP/Azure/AWS)
Python, APIs, and Automation Frameworks
Solution Architecture and Stakeholder Management
Experience:
8+ years of experience in Data Engineering, Analytics, Automation, or AI solutions, with proven experience delivering enterprise-scale AI and automation initiatives.