Site Data Manager (2 Years Fixed Term Contract)

Michelin Oy; Ela (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

Michelin recherche un Site Data Manager pour piloter l’accès aux données et la qualité du Data Lake du site. Vous travaillerez avec les Data Engineers, les équipes IS/IT et les métiers pour assurer la gouvernance, la traçabilité et l’amélioration continue des flux de données.

Le candidat idéal maîtrise SQL, Databricks et Power BI, avec une expérience en pipelines de données et en environnements cloud. Poste en contrat fixe de 2 ans, basé aux États-Unis.

Qualifications

• Maîtrise SQL: requêtes, jointures, agrégations et vérification de données structurées.
• Connaissance des data lakes et des data stores relationnels.
• Capacité à définir et surveiller des règles de qualité des données (précision, complétude, cohérence).
• Connaissance des pipelines de données et plateformes cloud (Databricks, Azure).
• Esprit analytique pour identifier les causes racines et corriger les anomalies.

Responsibilities

• Gérer l'accès et la qualité des données du Data Lake du site.
• Collaborer avec les équipes Data Engineers et IS/IT pour déployer les produits numériques.
• Veiller à la gouvernance des données et à la conformité central/local.
• Former les utilisateurs et documenter les processus et standards.
• Analyser les incidents de données et coordonner les actions correctives.

Skills

SQL

Data lakes

Data governance

Python

Databricks

Cloud services

Power BI

Education

Bachelor's Degree in Computer Science, Data Science, Information Systems, or équivalent

Tools

Databricks

Azure

Power BI

Job description

Site Data Manager (2 Years Fixed Term Contract)Michelin, le leader mondial de la fabrication de pneus embauche!-KEY EXPECTED ACHIEVEMENTSData accessibilityData Lake (PI & FDW) is implemented in accordance with central specifications.Data Lake Access are managed with support of RGQA for D2 Data.Is a SPOC (Single point of contact) for all question about data produced by the plant.Standard Machine template in PI Osisoft System, related with Data Strategy roadmap, are deployed.Identification of functional data requirements and corresponding to different métiers for L2/L4 system developmentData governance/Data qualityData governance rules are applied in the local context.The quality of data stored into his/her datalake and sent to CDL is guaranteed.Non-qualities are detected and corrected (accuracy, completeness, obsolescence and consistency of data, etc.).The root causes of data non-quality are identified, analyzed and an action plan is put in place to resolve them.Identify and analyze the root causes of data-quality issues and implement corrective action plans.Data progress plan and data quality monitoring are animated.Data quality control is continually improved.Networking & collaborationThe network of data administrators (RUL & Others) is co-animated with the Site Information Manager and best practices are formalized.Attend and Contribute to Data Manager network animated by ULD Data Manager.Contribution is given on Use case / Digital product deployment.User support & trainingNew users (or new trainers) are trained (train the trainers). Support documentation is available and up to date.Users are informed of changes, and application is validated after change application. When needed, degraded working modes are defined as being used during application unavailability.Feedback on application and training improvements are collected. Central teams and IM are informed of enhancement needs. When evolutions impact the shop floor, then they are tested and validated.EXTERNAL CANDIDATE PROFILEBachelor's Degree in Computer Science, Data Science, Information Systems, or an equivalent qualification.Minimum 4 years of relevant experience.Knowledge of data lakes, data stores, relational databases.Ability to query, join, aggregate, validate, and troubleshoot structured data using SQL; familiarity with CSV, JSON, and other common data formats.Knowledge on Data pipelines, Databricks, Asure platforms.Basic ability to read or develop data-processing scripts using Python.Foundational knowledge of cloud services, Power BI, and advanced analytics platforms.Define and monitor data-quality rules for accuracy, completeness, consistency, timeliness, and uniqueness.Ability to investigate data and application issues, perform root-cause analysis, document corrective actions, and coordinate effectively with Data Engineers, Data Analysts, IS/IT, cybersecurity, and business teams.Ability to translate business needs into clear data requirements, document processes and standards, train users, and communicate technical topics to non-technical stakeholders.Strong commitment to lifelong learning, problem-solving, customer focus, collaboration, change facilitation, and continuous improvement.Passion for innovation, digitalization, sustainable manufacturing, and value creation through trusted data.Michelin est un employeur qui souscrit au principe de l’égalité des chances en matière d’emploi pour les minorités visibles, les femmes, les autochtones et les personnes handicapées. Si, en raison d'un handicap, vous avez besoin d'un aménagement pour une quelconque partie de la procédure de candidature, veuillez nous contacter à l'adresse suivante: [e-mail]