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Manager Enterprise Applications, Data & AI

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Onsite

Manager Enterprise Applications, Data & AI

Nido Machineries

Manager Enterprise Applications, Data & AI

Skills

SQL QueriesCybersecurityAINo-code AutomationsJiraOneDrive

1 month ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

30 September 2026

What they need


Role mandate

Own NIDOs enterprise application, data and internal AI/automation stack so ERPNext and connected platforms become integrated, trusted and increasingly automated operating systems for the business.

What success looks like

  • Stabilise and extend ERPNext around approved business processes and master data.
  • Deliver reliable integrations, dashboards and workflow automations.
  • Build NIDO AI Hub and My NIDO as governed enterprise capabilities.
  • Improve data quality, KPI consistency and user adoption.
  • Reduce manual re-entry and fragmented spreadsheet-based workflows.

Key responsibilities

  • Own ERP Next functional/technical roadmap, configuration governance, enhancements and release/UAT process.
  • Own integrations/APIs between ERP Next, Jira, Microsoft 365/OneDrive, web/forms and other enterprise systems.
  • Own enterprise data models, BI dashboards, KPI/PMS technology and trusted reporting layers.
  • Lead NIDO AI Hub / My NIDO internal AI use cases, prompt/workflow governance and safe enterprise adoption.
  • Manage ERP/business analysts, data/BI capability and API/automation/full-stack engineering as team develops.
  • Maintain system documentation, master-data rules, role/access design with Cybersecurity and adoption/training.
  • Translate functional requirements into scalable system design; challenge unnecessary customisation.

Ideal candidate profile

Business-systems leader/solution architect with strong ERP, integration, data and automation experience. Must understand business processes deeply enough to avoid simply automating bad processes.

Experience & qualifications

  • 814+ years enterprise applications/ERP experience.
  • ERPNext/Frappe strongly desirable; strong experience with another ERP acceptable if candidate can adapt quickly.
  • API/integration, SQL/data modelling, BI and workflow automation knowledge.
  • Exposure to LLM/AI enterprise workflows useful; production governance more important than hype.
  • Manufacturing/project/service processes preferred.

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