Senior Enterprise Systems & Data Governance Lead

XL Construction

Milpitas (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

XL Industries Inc is seeking a Senior Enterprise Systems Analyst to bridge business operations and technology, ensuring scalable processes, reliable data, and enterprise reporting. The role coordinates across IT, data engineering, analytics, and business teams to govern, design, and optimize enterprise platforms.

The candidate will establish enterprise standards, drive data governance, and prepare systems for AI-ready analytics while partnering with executives to advance the organization9;s

Qualifications

  • Bachelor's degree required in Information Systems, CS, Engineering, Business or related field.
  • 7+ years supporting enterprise business applications.
  • Experience with enterprise software implementations.
  • Experience with enterprise reporting platforms.
  • Knowledge of data governance principles.
  • Strong communication and stakeholder management skills.

Responsibilities

  • Lead enterprise system design reviews before implementation.
  • Establish governance standards for application configuration.
  • Define enterprise data standards and standardized master data.
  • Design scalable system configurations and metadata management.
  • Map data flows and define system ownership across ERP/financial systems/CRM.
  • Prepare enterprise systems for AI adoption with data quality improvements.

Skills

Strong communication and stakeholdera
Relational databases & SQL
Experience with enterprise software
Business process analysis
Data governance principles

Education

Bachelor's degree in Information Systems, Computer Science, Engineering, Business, or related field

Tools

Power BI
Azure
SAP
Oracle
Salesforce
ServiceNow

Job description

XL Industries Inc is seeking a Senior Enterprise Systems Analyst to bridge business operations and technology, ensuring scalable processes, reliable data, and enterprise reporting. The role coordinates across IT, data engineering, analytics, and business teams to govern, design, and optimize enterprise platforms.

The candidate will establish enterprise standards, drive data governance, and prepare systems for AI-ready analytics while partnering with executives to advance the organization9;s

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