Senior ERP & Datahub Lead, Digital Finance

Antler Co

Raritan (NJ)

Hybrid

USD 122,000 - 213,000

Full time

12 days ago
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Job summary

Johnson & Johnson is recruiting a Sr. Manager, ERP and Datahub, Finance Technology, to lead DPS CFIN, S/4 Finance, and Datahub efforts from Raynham, MA with secondary locations in Raritan, NJ and West Chester, PA.

You will drive operational excellence, manage risk, and advance digital finance initiatives across finance and manufacturing functions, enabling data-driven decisions and scalable processes.

Qualifications

  • Required: 8–10 years in SAP Finance, Datahub support, or financial technology with leadership responsibility.
  • Experience supporting manufacturing, production, or supply chain finance in a complex, matrixed org.
  • Strong knowledge of financial controls, risk management, Datahub design, and enterprise data model governance.
  • Experience driving process improvement, standardization, and automation initiatives.

Responsibilities

  • Design, implement, and support DPS CFIN, S/4 Finance and Datahub functions and interfaces.
  • Lead standardization, automation, and continuous improvement of finance processes.
  • Ensure strong internal controls, governance, and risk management across DPS Datahub.
  • Provide senior financial insights, dashboards, and analysis for strategic decisions.

Skills

Budget Management
Financial Analysis
Internal Controls
Risk Management
SOX Compliance
Program Management
Vendor Management

Education

Bachelor’s degree in Finance/Accounting/Economics/Business Admin
MBA or related advanced degree

Tools

SAP Finance
Datahub
SAP S/4HANA
SAP BW/4HANA

Job description

Johnson & Johnson is recruiting a Sr. Manager, ERP and Datahub, Finance Technology, to lead DPS CFIN, S/4 Finance, and Datahub efforts from Raynham, MA with secondary locations in Raritan, NJ and West Chester, PA.

You will drive operational excellence, manage risk, and advance digital finance initiatives across finance and manufacturing functions, enabling data-driven decisions and scalable processes.

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