Sr. Manager ERP Data Integration at WiserWulff in Fairhaven, Massachusetts

Job Description:

Role: Sr. Manager ERP Data Integration

Location: hybrid - must be in driving distance to Fairhaven, MA

Duration: PERM

As a Data Integration Lead, you will play a crucial role in ensuring seamless data flow across systems. Your responsibilities include:

1.Planning Data Integration:

• Develop common definitions for sourced data (current state vs. future state).
• Design common keys in the physical data structure.
• Establish future data integration specifications.

2.Evaluate Existing Data Models:

• Assess MDM/ERP data models in the client's landscape.
• Prepare technical specifications for data modeling that align with business requirements for ERP Go Live and future deployments.
• Consider ongoing Data Governance needs.

3.Optimize Data Interchange:

• Analyze data intake and outbound applications, ERP data, and BI warehouse schema.
• Determine best-fit data interchange methods.
• Evaluate daily ETL data volume and plan performance measures.

4.Ensure Security and Efficiency:

• Implement security measures during the development model in Data Integration (DI).
• Identify factors negatively impacting integration.
• Forecast resource requirements and establish delivery timelines.

5.Enhance Data Quality:

• Review data cleansing and enrichment strategies.
• Propose changes based on business requirements.
• Assess middleware tools for data transformation and routing.

6.Collaborate Across Teams:

• Work closely with SAP BPOs, SMEs, and Technology Solution Architects.
• Perform source system analysis.
• Develop normalized and physical schemas.

Requirements:

• Bachelor's Degree.
• Professional Experience:
• At least 8 years in data integration.
• 3-5 years of ETL design experience, specifically within an SAP environment.
• Technical Expertise:
• Proficient in SAP S4 HANA data integration and provisioning.
• Solid foundation in SAP S4 HANA database systems.
• Extensive knowledge in DW/BI solution analysis, architecture, design, and development.
• Thorough understanding of SAP hierarchy, concepts, and Data Warehousing methodologies.
• Additional Requirements:
• Willingness to travel as needed.

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