Senior Technical Specialist
India
Job Description
Senior Technical Specialist
Hyderabad, Telangana
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. |
Skill Requirements
Other Requirements
Information at a Glance