Director - Master Data Management
Wesco · Glenview, Illinois, United States · hybrid
Responsible for the integrity of Wesco global Master Data Governance and supporting processes. Provide enterprise leadership for Wesco’s Master Data Governance program by establishing the frameworks, policies, standards, and operating model required to ensure trusted, high quality, well managed data across the organization. This role defines and implements a governance roadmap, drives cross functional alignment, and ensures consistent stewardship and accountability across all master data domains. Fostering stakeholder (SBU, IT, Sales, Supply chain, Finance, 3rd parties) relationships and trust across the enterprise. Accountable for driving the data governance business process and influencing cross functional departments so governance becomes part of daily life. Accountable for master data accuracy and continuous data quality improvement for Wesco.
Responsibilities:
- Collaborate with business functions/stakeholders on defining and implementing Master Data Governance principles, process, requirements and implementation roadmap while driving changes when necessary
- Design and implement capabilities to lead enterprise AI abilities including AI enablement
- Responsible for establishing, building and operating Master Data Domain Governance with the vision that it becomes part of routine daily work at the edge of the business
- Accountable for creating standards, best practices, controls and automation modeling techniques and procedures
- Define and maintain master data standards, data quality rules, controls, and stewardship practices, ensuring they are consistently applied across systems and business processes.
- Build and lead a team of data stewards, governance specialists and architects ensuring strong operational governance, issue management, and cross‑functional coordination.
- Champion data accuracy culture adoption to the broader organization by ensuring that 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 effective master data oversight. Maintain external auditor level controls where applicable.
- Establish and communicate Master Data Governance best practices including 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
Qualifications:
- Bachelors Degree - Computer Science, Mathematics, Statistics, Data Science, Electrical/Computer Engineering or related field required; Master's Degree preferred
- Licenses/Certificates/Designations – Master Data Management preferred
- 10 years of IT applications/operational experience; with 7 years in Master Data Domain like Products, Customers, Suppliers etc.
- Experience in building and leading a team from the ground up, including hiring and ongoing people development.
- Experience in building Master Data management Domains systems (Product, Customers, Suppliers, Reference) and establish Governance process from 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 skills, strong interpersonal skills, and organizational skills, and ability to effectively manage multiple work streams, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing goals
- Strong presentation skills with both technical and non-technical audiences
- Strong team leadership and/or project management experience with multiple simultaneous initiatives and managing a team of Data Stewards, MDM Architects, Data Analyst etc.
- Skilled in the management of complex systems and decision-making under uncertainty
- Excellent project and time management skills and strong attention to detail, with experience in adhering to best practices of managing the life cycle of data-intensive machine learning projects
- Strategic planning experience that adapts to communication between technical and business stakeholders
- Exceptional problem-solving and crisis management skills and ability to work independently/within a team
- Ability to travel up to 25%
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