Sr Master Data Governance Specialist

Legend Biotech US•Raritan, NJ

1d•Onsite

About The Position

Legend Biotech is seeking a Sr. Master Data Governance Specialist as part of the Technical Operations team based in Raritan, NJ. We are actively seeking a proficient Sr. Master Data Governance Specialist with a specific focus on SAP Extended Warehouse Management (EWM) master data and materials orchestration throughout the End-to-End Manufacturing & Supply lifecycle. This role is pivotal in leading the design and execution of the Global Manufacturing & Supply (GMS) data governance process, from material creation to consumption across Warehouse, Materials Planning, Work Centers, Bill of Materials / Recipes, Costing and Quality Inspection attributes. This role will partner with the IT team and collaborate in the design implementation of Legend's Master Data Management program. We are looking for a well-organized and process-oriented leader, with strong understanding of Manufacturing & Supply Chain Management operations, who can translate operational and technical data requirements into actionable programs and activities supporting execution of SAP day-to-day production processes. The ideal candidate has expertise in developing and implementing data process workflows, identification / segmentation of core manufacturing and material data objects, and expertise in deployment of SAP MDG, especially EWM master data and inclusive but not limited to MM, SD, FI, etc., particularly within the biotech industry. As the functional GMS Data Specialist, you will play a vital role in executing and overseeing the BUILD and RUN operational aspects of SAP data creation within Legend's Manufacturing network. Your role will involve collaborating with cross-functional business teams, IT and SAP Integration partners to define and optimize business processes, create data migration/conversion activities, and ensure adherence to regulatory requirements, including SoX, and CFR Part 21 and GxP as applicable. By driving the successful delivery of SAP solutions, you will contribute to the seamless operation of critical data processes within Legend Biotech.

Requirements

Bachelor's degree in IT, Computer Sciences, Supply Chain Management, or a related Data & Analytics field.
Minimum of 5 years' experience in SAP MDG - Material Master, Planning, Procurement, Vendors Data Objects, Customer, Vendor, etc.
Minimum of +3 years developing and implementing MDM solutions and data governance processes, including hands-on design and configuration.
Experience with leading business process reengineering and business process assessment.
Exceptional communication and interpersonal skills, with the aptitude to effectively engage and influence stakeholders at all levels.
Demonstrated capability to lead and manage cross-functional teams, fostering collaboration, and achieving high-performance outcomes; demonstrated ability to lead and manage change initiatives while driving organizational transformation.
Advanced technical knowledge of SAP EWM Master Data specifically and in at least two (2) of the Production, Materials Management, and/or Quality modules.

Responsibilities

Design, implement, and deploy a global standard and data creation workflow process that supports GMS business activities, and in line with IT's MDG template.
Utilize extensive master data expertise to demonstrate a profound understanding of SAP EWM master data and configuration elements, MDG Materials, BOM, Recipes, MRP, MPS, Work Centers, Batch Management, Quality Inspection, Costing, among others.
Collaborate with business stakeholders, collaboration partners, and business process owners to conduct comprehensive analysis on all GMS material management aspects addressing data creation, data quality, governance needs and dealing with all data interconnectivity with other systems.
Build and drive plans to improve data practices for operational, reporting and analysis needs – Inclusive of development of processes, control, and best business practices around data management.
Build organization understanding of data lifecycles from creation to end use, working with subject matter experts in various business functions, operations, and IT teams.
Create and maintain process maps, data objects, and user guides, to ensure a comprehensive knowledge base.
Manage and support all site-specific projects with respect to new product launches, alternate material sources, alternate BOM/recipes, etc. and collaborate on required change control deliverables where applicable.
Provide expert-level support for SAP MDG modules, addressing functional issues, incidents, and change requests. Work closely with the support team to prioritize and resolve tickets efficiently.
Oversee change management procedures, including business engagement, impact analysis, documentation review and approval, user testing reviews, and ensure smooth and controlled changes to minimize risks and disruptions associated with GMS activities.
Identify opportunities for process improvement and optimization within the MDG areas, leveraging SAP functionalities and best practices to drive efficiency and effectiveness while maintaining regulatory compliance.
Embrace and promote Agile principles and values within the team and projects, fostering a culture of continuous improvement and iterative development.
Create an environment that encourages open communication, teamwork, and innovation, contributing to a positive and collaborative work culture.

Benefits

Medical, dental, and vision insurance
401(k) retirement plan with a company match that vests fully on day one
Eight (8) weeks of paid parental leave after just three (3) months of employment
Paid time off policy that includes vacation time, personal time, sick time, floating holidays, and eleven (11) company holidays
Flexible spending and health savings accounts
Life and AD&D insurance
Short- and long-term disability coverage
Legal assistance
Supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance
Voluntary commuter benefits
Family planning and care resources
Well-being initiatives
Peer-to-peer recognition programs