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DataOne

Operates AI-focused, giga-scale data centers

Data & ERP Manager

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A Master’s degree or equivalent in Information Systems, Computer Science, Engineering, Management Information Systems, or a related field, or equivalent professional experience.
  • At least five years of experience in ERP management, ERP implementation, or data management.
  • Experience in a multi-entity or international environment is desirable.
  • Demonstrated experience leading at least one full ERP implementation, migration, or major upgrade.
  • Strong understanding of business processes and their translation into ERP solutions.
  • Experience collaborating with business and technical stakeholders.
  • Knowledge of ERP business processes, including Order-to-Cash, Procure-to-Pay, inventory management, project cost management, general accounting, and analytical accounting.
  • Knowledge of SQL and relational databases such as PostgreSQL or equivalent.
  • Knowledge of integration mechanisms, including REST APIs, webhooks, ETL/iPaaS tools, and automation platforms.
  • Knowledge of business intelligence and reporting tools such as Power BI, Metabase, Superset, or equivalent.
  • Knowledge of Python or equivalent scripting languages for data processing and automation.
  • Knowledge of Linux environments, version control, and deployment practices.
  • Knowledge of data governance, Master Data Management, reporting, analytics, and data quality management.
  • Professional proficiency in French and English.

Responsibilities

  • Lead and manage the functional and technical ERP roadmap, balancing business needs, technical debt, and platform enhancements.
  • Lead configuration, setup, and functional improvements across ERP modules, including Finance, Purchasing, Inventory, Sales, Projects, and HR.
  • Plan and manage ERP upgrades and migrations, including regression testing, cutover plans, and rollback strategies.
  • Manage relationships with ERP vendors, integrators, and functional consultants.
  • Ensure production platform availability and performance in coordination with infrastructure and development teams.
  • Define and apply Master Data Management rules for data ownership, naming conventions, referential integrity, lifecycle management, and archiving.
  • Implement automated controls and checks to identify duplicate, inconsistent, and incomplete data.
  • Maintain the data dictionary and map data flows between the ERP and surrounding applications.
  • Ensure compliance with applicable data protection regulations, including GDPR and equivalent regulatory frameworks.
  • Define and implement appropriate data retention and processing rules.
  • Design, develop, and maintain integrations between the ERP and other applications, including identity systems, collaboration tools, field applications, financial systems, and third-party APIs.
  • Industrialize recurring data operations, including imports, reconciliations, batch processing, and scheduled synchronizations.
  • Reduce manual processes through business workflow automation and collaborate with development teams to build scalable, robust automation solutions.
  • Ensure traceability, monitoring, auditability, and appropriate error handling across automated data flows.
  • Build and maintain the reporting and analytics layer, including operational dashboards, management KPIs, financial reports, and activity indicators.
  • Work with business owners to define relevant metrics and establish a reliable single source of data.
  • Conduct ad hoc analysis to support management decisions, budget preparation, and performance reviews.
  • Promote self-service data access while maintaining governance rules that ensure consistency and reliability.
  • Organize functional ERP support and qualify, prioritize, and resolve user requests and incidents.
  • Train key users and support ERP adoption across the organization.
  • Produce and maintain functional documentation and operating procedures.
  • Regularly report on platform availability, service quality, and roadmap progress.
  • Monitor ERP, Data Engineering, automation, and analytics technologies and recommend relevant improvements and new technologies.

Desired Qualifications

  • Strong attention to detail and data reliability.
  • A structured, rigorous, and dependable approach.
  • Ability to translate business needs into technical solutions.
  • Strong analytical and problem-solving abilities.
  • Ability to collaborate with Finance, Operations, field teams, technical teams, and external partners.
  • Autonomy and strong organizational abilities.
  • Commitment to continuous improvement.
  • Ability to define, implement, and promote standards and best practices.
  • Strong communication and knowledge-transfer abilities.

About the Company

DataOne

Operates AI-focused, giga-scale data centers

DataOne builds and runs giga-scale data centers called AI Factories designed for high-density AI workloads. It provides end-to-end, build-to-suit infrastructure for large tech firms to train and operate power-intensive AI models, with on-site development and management of the facilities. The data centers use specialized, liquid-cooled systems that support 60–250 kW per rack and are paired with renewable energy, on-site power generation via fuel cells, closed-loop water cooling, and heat recycling to pursue net-zero consumption. DataOne differentiates itself through AI-specific, high-density infrastructure and sustainability-focused design, backed by BSO with an aim to expand Europe and the United States, including a 400MW Europe campus plan and a 350MW U.S. facility, targeting large-scale GPU hosting and hyperscale computing for enterprise AI needs.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Vineland, NJ
Founded
Not listed

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