Site Data Manager - 2 Year Fixed Term Contract

Overview

Michelin, a global leader in tire manufacturing, is seeking a Site Data Manager for a fixed term of two years at its location in Gampaha District, Western Province, Sri Lanka. This role is responsible for overseeing data management activities to ensure data accessibility, governance, quality, and user support aligned to central specifications and local context.

Key Responsibilities

• Implement the Data Lake (PI & FDW) following corporate standards.
• Manage Data Lake access collaboratively with RGQA for D2 Data.
• Serve as the primary contact for all plant data-related inquiries.
• Deploy standard machine templates in the PI Osisoft System as part of the Data Strategy roadmap.
• Identify functional data requirements supporting L2/L4 system development across different business functions.
• Enforce data governance rules adapted to local conditions.
• Maintain high data quality in the local datalake and the CDL system, ensuring completeness, accuracy, consistency, and timeliness.
• Identify data quality issues, perform root cause analysis, and develop action plans for resolution.
• Lead data quality monitoring and continuous improvement efforts.
• Co-manage the network of data administrators with the Site Information Manager and help formalize best practices.
• Participate actively in the Data Manager network led by the ULD Data Manager.
• Contribute insights for deployment of use cases and digital products.
• Train new users and trainers, maintain current support documentation, and validate applications following updates.
• Communicate changes to users, manage degraded operating procedures during downtimes, and collect feedback to improve applications and training materials.

Candidate Profile

• Bachelor's degree in Computer Science, Data Science, Information Systems, or equivalently relevant fields.
• At least four years of professional experience in data management or related roles.
• Proficiency with data lake architectures, data stores, and relational databases.
• Skilled in SQL for querying, joining, aggregating, validating, and troubleshooting structured datasets, with familiarity in common data formats like CSV and JSON.
• Hands-on knowledge with data pipelines, Databricks, and Azure platforms.
• Basic scripting capability in Python for data processing tasks.
• Foundational expertise in cloud services, Power BI, and advanced analytics platforms.
• Experience defining and monitoring data-quality parameters including accuracy, completeness, consistency, timeliness, and uniqueness.
• Strong analytical skills to investigate data and application issues, conduct root cause analysis, document corrective measures, and collaborate with technical and business teams.
• Ability to translate business requirements into precise data specifications, document processes, deliver training, and communicate technical details to stakeholders with varied backgrounds.
• Demonstrated commitment to continuous learning, problem resolution, customer centricity, teamwork, change management, and improvement initiatives.
• Passion for innovation, digital transformation, sustainable manufacturing practices, and leveraging trusted data for value creation.

Additional Information

Michelin is committed to equal employment opportunity for minority groups, women, Indigenous peoples, and individuals with disabilities. Accommodation requests for disabilities during the employment process are supported.