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IT Data Manager

WireCo WorldGroup
life insurance, vision insurance, paid time off, paid holidays, 401(k), retirement plan
United States, Kansas, Leawood
8700 State Line Road (Show on map)
Jul 12, 2026
Company Description

WireCo is the strength behind the world's evolution, through deep legacy and forward thinking, we create premium ropes that inspire innovation without limits. Our global footprint includes manufacturing plants, distribution facilities, and research and development centers around the world.

WireCo offers a competitive compensation and benefits package, including wages plus bonus program, paid time off, paid holidays, medical, dental and vision insurance, 401(k) retirement plan with a generous company match, 100% company-paid life insurance, and 100% company-paid disability insurance.

For more information, check out our website atwww.wireco.comand the following videos:

  • https://www.youtube.com/watch?v=6CJwd_yXZA
Job Description

The IT Data Manager is responsible for the governance, quality, security, and lifecycle management of enterprise data across the organization's manufacturing, supply chain, finance, and business systems. This role leads the development and execution of data governance standards, master data management (MDM), data quality initiatives, and data integration strategies to ensure accurate, consistent, and reliable information throughout the enterprise.

Working closely with Information Technology, Manufacturing, Supply Chain, Finance, Engineering, Commercial, and Business Process Owners (BPOs), the IT Data Manager develops processes that improve data integrity, support operational excellence, and enable informed business decision-making. The position serves as a key liaison between business stakeholders and technical teams to ensure enterprise data assets are effectively managed and aligned with organizational objectives.

The IT Data Manager must exhibit and actively promote the behaviors of the WireCo Business System (WBS):

  • Teamwork - welcomes an environment of inclusiveness and healthy debate that reflects our team's strength
  • Accountable - celebrates our successes, learn from failures, avoid excuses, and own the outcomes of our efforts
  • Self-Aware - demonstrates an understanding of our strengths and needs, considering how our actions impact others
  • Noble Intent - acts in the interests of others, approaching our work with integrity to ensure the best outcome
  • Determined - takes initiative, share ideas and find solutions to win and achieve our goals
  • Transparent - promotes open and honest communication and constructive feedback for clarity and truth
  • Curious - seeks knowledge and outside input to test our way of thinking, challenging the status quo

Duties & Responsibilities

  1. Develop, implement, and maintain enterprise data governance policies, standards, procedures, and best practices.
  2. Manage the organization's Master Data Management (MDM) strategy, including customer, vendor, item, bill of materials (BOM), routing, inventory, manufacturing, and financial master data.
  3. Establish data ownership, stewardship, and accountability across business functions.
  4. Define and monitor key data quality metrics, identify trends, and lead initiatives to improve data accuracy, completeness, consistency, and timeliness.
  5. Develop and maintain data standards, naming conventions, validation rules, and metadata documentation.
  6. Partner with Business Process Owners and functional leaders to design efficient data maintenance processes and approval workflows.
  7. Lead data cleansing, migration, and conversion activities for ERP implementations, upgrades, acquisitions, and business transformation initiatives.
  8. Manage enterprise data integrations between ERP, MES, WMS, CRM, PLM, quality systems, business intelligence platforms, and other enterprise applications.
  9. Collaborate with application administrators, developers, and infrastructure teams to ensure data architecture supports current and future business requirements.
  10. Develop data governance roadmaps that support digital transformation and continuous improvement initiatives.
  11. Establish and monitor controls to ensure compliance with internal policies, SOX requirements, cybersecurity standards, privacy regulations, and audit requirements.
  12. Support internal and external audits by providing documentation, evidence, and process controls related to enterprise data.
  13. Develop dashboards, scorecards, and reporting to monitor data quality, governance compliance, and operational performance.
  14. Evaluate and implement data management technologies, automation tools, and governance platforms.
  15. Coordinate data-related activities during mergers, acquisitions, divestitures, and organizational restructuring.
  16. Maintain enterprise data dictionaries, business glossaries, data lineage, and system documentation.
  17. Lead root cause analysis and corrective actions for recurring data quality issues.
  18. Develop and deliver user training on data governance policies, master data processes, and data management tools.
  19. Collaborate with cybersecurity and infrastructure teams to implement role-based access controls, segregation of duties, and data security best practices.
  20. Manage relationships with software vendors, implementation partners, and consultants supporting enterprise data initiatives.
  21. Participate in project planning, system implementations, and cross-functional initiatives requiring data analysis and governance.
  22. Identify opportunities to automate manual data processes and improve operational efficiency.
  23. Stay current on emerging technologies, industry best practices, and regulatory requirements related to enterprise data management.
  24. Perform other duties as assigned.

Supervisory Responsibilities

  • May supervise Data Analysts or Data Architects.
  • Provides technical leadership and mentorship to project teams and business data owners.
  • Leads cross-functional governance committees and enterprise data initiatives.
Qualifications

Required Education, Experience, Skills and Abilities

  • Bachelor's degree in Information Technology, Computer Science, Information Systems, Data Management, Business Administration, Engineering or related field.
  • Three or more years of progressive experience in enterprise data management, ERP administration, business systems, or information technology.
  • Experience supporting manufacturing, supply chain, or industrial operations.
  • Strong understanding of Master Data Management (MDM) principles and data governance frameworks.
  • Experience working with ERP systems such as JD Edwards EnterpriseOne, SAP, Oracle, Microsoft Dynamics, or Infor.
  • Knowledge of manufacturing master data including items, BOMs, routings, work centers, inventory, costing, and production planning.
  • Experience with SQL and relational databases.
  • Experience with ETL processes, APIs, system integrations, and data migration.
  • Strong understanding of reporting and business intelligence platforms such as Power BI, Tableau, or similar tools.
  • Knowledge of data quality management techniques and data profiling tools.
  • Familiarity with cybersecurity principles, identity management, and role-based security.
  • Understanding of SOX compliance, change management, and audit controls.
  • Excellent analytical, organizational, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to present technical concepts to non-technical audiences.
  • Demonstrated ability to manage multiple priorities in a fast-paced manufacturing environment.

Preferred Education Experience, Skills and Abilities

  • Master's degree in Information Systems, Data Analytics, Business Administration, or related discipline.
  • Certified Data Management Professional (CDMP) or equivalent certification.
  • ITIL Foundation certification.
  • Project Management Professional (PMP) certification.
  • Experience implementing enterprise data governance programs.
  • Experience with Azure Data Factory, Microsoft Fabric, Snowflake, or similar cloud data platforms.
  • Experience with Microsoft Power Platform.
  • Experience supporting Lean Manufacturing or Six Sigma initiatives.
Additional Information

Material and Equipment Directly Used

  • Standard office equipment including computer, mouse, keyboard, telephone, multifunction copier
  • Personal protective equipment, including safety glasses, hearing protection, gloves, and steel-toed safety shoes

Working Conditions/Physical Requirements

  • Work is performed in an office setting with a controlled environment.
  • Occasional visits to manufacturing facilities might be necessary where there is exposure to manufacturing environmental conditions such as dust, grease, heat, cold, loud noise, fumes and odors.
  • Occasional work outside normal business hours may be required to support system implementations, ERP upgrades, data migrations, or critical business operations.
  • May participate in an on-call rotation during major system implementations or enterprise projects.

Additional Information

  • Must be legally authorized to work in the United States without restriction.
  • An applicant must complete a satisfactory background check post-offer of employment. A criminal conviction will not be an automatic bar to employment.
  • Must be willing and able to pass a post-offer drug screen and physical (if required).
  • Must be 18 years of age or older.
  • Equal Opportunity Employer/Veterans/Disability
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