Senior Data Management Manager - Global Supply Management Procure to Pay

Medtronic•Fridley, MN

2d•$155,200 - $232,800•Hybrid

About The Position

This role is responsible for leading data initiatives, data quality, and data governance within Medtronic’s Source to Pay value stream. The team acts as a "One Stop Shop" focused on driving process and system improvements for enterprise-wide master data and transactional data in Global Supply Management. The manager will lead a team of Data Analysts, partner with business data owners, and ensure critical master and transactional data is accurate, consistent, and useful for operations and decision-making. The role supports functions like planning, logistics, warehousing, manufacturing, quality, and digital transformation, and leads projects to improve the data experience for internal teams, patients, and customers. Medtronic is committed to fostering an inclusive culture where diverse perspectives drive innovation and where all employees belong, are respected, and feel valued.

Requirements

Bachelor’s degree
7+ years of experience with a bachelor’s degree or 5+ years of experience with an advanced degree
5+ years of managerial experience

Nice To Haves

5+ years of pertinent Supply Chain, Manufacturing, Operations, and/or Business Data Management domain experience
Proven systems and business process solution mindset
Data extraction acumen
Prior success leading teams and supporting cross-functional internal customers
Expert Procure to Pay (P2P) experience and knowledge
Demonstrated expertise driving an Enterprise Data Management area that enabled tangible business outcome realization through leveraging data as a competitive asset
Proven experience supporting “business outcome” metrics that drives the appropriate data to govern
Domain expertise in multiple functional areas of Global Operations & Supply Chain plus broader practical experience across multiple professional disciplines within the organization, combining theory, past practical experience and the organization’s business practices within Enterprise Data Management domain
Experience within data management to enable a successful digital transformation including traditional relational structured data but also experience with MDM utilizing semi-structured or unstructured data modernized techniques
Experience in product manufacturing-based industry
Familiarity with multiple levels of enterprise applications supporting supply chain, supply management, operations, and manufacturing, including ERP, Advanced Planning, PLM/Data Governance, Data Visualization/Business Intelligence, Shop Floor, Warehouse Management, Regulatory/Trade, and others
Experience in a large-scale, highly matrixed, global environment with multiple operating units managing both centrally to aligned common standards and locally when needed
Continuous Improvement Certifications (i.e. Black Belt, Green Belt)

Responsibilities

Own the Governance, Quality, and Process Expertise for the domains of Global Operations & Supply Chain Data within your responsibility
Champion the growth of knowledge and functionality surrounding Global Operations & Supply Chain Data through clear and effective communications with leaders, internal business partners, and external stakeholders
Conduct analyses focused on data in our source systems (i.e. ERP, Advanced Planning, and related Operations, Supply Management, & Supply Chain systems) to lead root cause analysis and drive continuous improvement of data quality globally via rule-based logic for the highest degrees of data integrity
Empower and collaborate with global and local data leaders to achieve common objectives and develop best in class solutions that focus on accuracy and automation
Develop, inspect, mine, transform, and model data to raise productivity, improve decision making, and gain competitive advantage
Fluently navigate source systems and leverage data tools to perform ad hoc extractions, analyses, and drive resolution and future solutions for stakeholders
Manage data resource and project deliverables for key process improvements, mass data changes, data validations and migrations, and similar activities initiated within the Data Organization and received from business partners
Demonstrate a desire to own, develop, and grow core Global Operations & Supply Chain data knowledge and functionality in all aspects of end-to-end data processing utilized across multiple source systems in the landscape
Maintain analytical systems & detailed documentation by verifying accuracy of the data and acting as a liaison to the business to drive effective data quality improvements
Manage and coach a team of professionals focused on tactical, operational and strategic activities supporting data quality
Bring industry and supply chain expertise and encourage understanding and involvement of all functions while seeking long-term solutions to data challenges