Director, Customer Master Data Management

Naperville, IL

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Director, Customer Master Data Management

Position Summary:

We are looking for a strategic and hands-on leader to drive the implementation and long-term success of Customer Master Data Management (CMDM) across our growing enterprise. As a company expanding through acquisitions, we face the exciting challenge of unifying and standardizing customer data across multiple systems and functional areas. This role will lead the initial enterprise-wide CMDM implementation and continue to evolve the supporting processes, people, and technologies to ensure data consistency, operational efficiency, data governance and seamless customer experience.

Location: Chicago or Memphis preferred

Work Type: Hybrid

Type Of Position: Full Time

Status: Exempt

Key Responsibilities:

Implementation Phase:

  • Create and build a scalable CMDM strategy from identification of key data that drives our business and documenting current processes to establishing compliance and operating procedures.
  • Lead the design and execution of a scalable CMDM strategy that aligns with the company’s acquisition-driven growth model including implementation of change management.
  • Assess and consolidate disparate customer data sources from acquired entities into a unified, governed master data environment.
  • Collaborate with IT, cross functional teams, and external vendors on the selection and deployment of appropriate MDM technologies.
  • Oversee data profiling, cleansing, deduplication, and migration efforts to establish a single source of truth for customer data.
  • Lead the end-to-end implementation of CMDM across the enterprise, including strategy development, stakeholder alignment, and execution.

Post-Implementation Leadership:

  • Establish and lead cross-functional data governance focused on customer data quality, compliance, and stewardship.
  • Continuously improve CMDM processes to support business agility, customer insights, and operational excellence.
  • Monitor data quality metrics and implement corrective actions as needed
  • Partner with IT and functional leaders to integrate CMDM with other enterprise systems.
  • Manage and continuously improve CMDM processes, ensuring alignment with business objectives and regulatory requirements.
  • Serve as the enterprise advocate for customer data excellence, promoting a data-driven culture.

About You

  • Passion for data and how it can be leveraged for success and simplification in the business.
  • End to end process thinker that engages cross functionally to understand customer needs and solve problems.
  • Ability to project management work streams to trouble shooting issues, overcoming obstacles, and ensure timely delivery.
  • Ability to research and resolve data or process issues and identify potential solutions.
  • Self-starter, organized, and thorough.
  • Strong attention to detail is a must.
  • Ability to effectively manage and complete multiple priorities.
  • Excellent communication skills – written, verbal and interpersonal.
  • Willingness to partner with others and a proven track record of collaborative work relationships
  • Knows when and how to elevate issues for timely resolution.
  • Not afraid of change and possesses the ability to switch gears quickly as priorities evolve in a fast paced, entrepreneurial environment.
  • Automotive and industry enthusiast a plus.

Qualifications:

  • Bachelor’s or Master’s degree
  • 8+ years of experience in data management, with at least 3 years in a leadership role focused on MDM or enterprise data governance.
  • Proven experience implementing MDM in a B2B environment, ideally within a company undergoing mergers or acquisitions.
  • Strong understanding of MDM and data integration technologies.
  • Excellent communication and change management skills, with the ability to influence stakeholders at all levels.
  • Familiarity with regulatory and compliance requirements related to customer data

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: CX Data governance Data management Data quality Research

Region: North America
Country: United States

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