Director - Master Data Management

Wesco•Glenview, IL

4d•Remote

About The Position

Responsible for the integrity of Wesco’s global Master Data Governance and supporting processes. Provides enterprise leadership for Wesco’s Master Data Governance program by establishing the frameworks, policies, standards, and operating model needed to ensure trusted, high-quality, well-managed data across the organization. Defines and implements a governance roadmap, drives cross-functional alignment, and ensures consistent stewardship and accountability across all master data domains. Fosters stakeholder relationships and trust across the enterprise, including with SBUs, IT, Sales, Supply Chain, Finance, and third parties. Drives the data governance business process and influences cross-functional departments so governance becomes part of daily work. Accountable for master data accuracy and continuous data-quality improvement for Wesco. The role may travel up to 25%.

Requirements

Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, Electrical/Computer Engineering, or a related field.
At least 10 years of IT applications or operational experience, including 7 years in a Master Data domain such as Products, Customers, or Suppliers.
Experience building and leading a team from the ground up, including hiring and ongoing people development.
Experience building Master Data Management domain systems (Product, Customers, Suppliers, Reference) and establishing governance processes from the ground up.
Experience overseeing, developing, or implementing Master Data products.
Graduate-level understanding of machine learning techniques, knowledge representation, and artificial intelligence, along with a strong understanding of statistics.
Strong verbal and written communication, interpersonal, and organizational skills; ability to manage multiple work streams; creativity and latitude in problem solving; and ability to prioritize and execute competing goals.
Strong presentation skills with technical and non-technical audiences.
Strong team leadership and/or project management experience involving multiple simultaneous initiatives and management of a team of Data Stewards, MDM Architects, Data Analysts, or similar roles.
Skill in managing complex systems and making decisions under uncertainty.
Excellent project and time management skills and strong attention to detail, with experience adhering to best practices for managing the life cycle of data-intensive machine learning projects.
Strategic planning experience and ability to adapt communication between technical and business stakeholders.
Exceptional problem-solving and crisis-management skills, and ability to work independently and within a team.
Ability to travel up to 25%.

Nice To Haves

Master’s degree preferred.
Master Data Management license, certificate, or designation preferred.

Responsibilities

Collaborate with business functions and stakeholders to define and implement Master Data Governance principles, processes, requirements, and an implementation roadmap, driving changes when necessary.
Design and implement capabilities to lead enterprise AI abilities, including AI enablement.
Establish, build, and operate Master Data Domain Governance so it becomes part of routine daily work at the edge of the business.
Create standards, best practices, controls, and automation modeling techniques and procedures.
Define and maintain master data standards, data-quality rules, controls, and stewardship practices, ensuring consistent application across systems and business processes.
Build and lead a team of data stewards, governance specialists, and architects, ensuring operational governance, issue management, and cross-functional coordination.
Champion adoption of a data-accuracy culture across the organization by ensuring Master Data Management assets are understood, available, and used.
Establish and report governance KPIs and data-quality metrics, highlighting improvements, operational impacts, and value delivered through master data oversight.
Maintain external-auditor-level controls where applicable.
Establish and communicate Master Data Governance best practices for people, processes, and technology enablement models.
Drive operational excellence in governance operations, including continuous improvement of processes, stewardship workflows, and technology used to monitor, control, and manage master data.