Sr Mgr GOSC Data Management - Procure

Job Overview

At Medtronic you can begin a life‑long career of exploration and innovation while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

GOSC Data Management owns the Governance, Quality, & Business Processes around Data for the functional areas across GOSC. This role focuses on Procure to Pay / Source to Pay, leading this area for Global Supply Management. You will lead a team of Data Analysts and drive best‑in‑class business processes for specific data domains and data objects, working hand in hand with business data owners.

As the Sr. Manager – Data Management, you will lead and drive master data and transactional data quality and governance that impact day‑to‑day operations, intelligence, and decisions across Global Operations & Supply Chain. Your scope includes Supply Chain and Supply Management activities such as Demand Planning, Supply Planning, Detailed Scheduling, Outbound/Inbound Logistics, Warehouse Management, Order Fulfillment/Management, and global operations functions like Engineering, Capacity Management, Manufacturing, and Digital Transformation.

You will also drive a portfolio of projects, activities, and process improvements to delight customers with a focus on delivering a best‑in‑class data experience across Global Operations & Supply Chain.

• 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 communication with leaders, internal business partners, and external stakeholders.
• Conduct analyses focused on data in our source systems (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.
• Empower and collaborate with global and local data leaders to achieve common objectives and develop best‑in‑class solutions focused 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 resources 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 across multiple source systems.
• 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.

• Bachelor’s degree and a minimum of 7 years of relevant experience with 5+ years of managerial experience, or an advanced degree with a minimum of 5 years of relevant experience with 5+ years of managerial experience.

• 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 drive data governance.
• Domain expertise in multiple functional areas of Global Operations & Supply Chain and broader experience across disciplines within the organization.
• Strong leadership and communication skills.
• Experience in data management to enable a successful digital transformation using both traditional relational structured…