Advanced Analytics Prog Mgr.

Job Description: Program Manager, Data Analytics and Insights

As part of the Medtronic Data Analytics and Insights (DA&I) team supporting Global Operations and Supply Chain, this program manager role plays a critical part in leading our analytics adoption strategy, training, communication, and change management to advance analytics maturity within our end-user community and champion a data-driven culture. With over 5,000 monthly active users and 250K+ report views each month, we are at the forefront of leveraging data for strategic decision-making. The Program Manager will lead the adoption strategy, training, and communications segment of our team. This role is pivotal in enhancing our data analytics and insights platform’s utilization and understanding across the organization.

A Day in the Life

1. Create an aligned framework, playbook, and maturity assessment for analytics across functional stakeholder groups. Own the execution of this plan.
2. Oversee the creation and delivery of standard analytic training packages, managing user stories from our 24 product teams.
3. Handle all end-user communications about our platform (e.g., planned downtime notifications, quarterly recaps, new programs).
4. Develop and implement targeted marketing campaigns to increase platform engagement and user satisfaction.
5. Partner with the team to create engaging content for training materials, newsletters, and announcements tailored to the needs of the user base.

Must Have: Minimum Requirements & Knowledge / Education

Job Experience

• Proven experience in program management, preferably in data analytics or a related field.
• Practical knowledge in leading and managing the execution of processes and projects.
• Strong project management skills and the ability to manage multiple initiatives simultaneously.
• Strong background in developing adoption strategies, training, communication programs, and change management.
• Excellent communication, collaboration, and leadership skills.
• Ability to work with cross-functional teams and stakeholders, including data professionals and business users.
• Knowledge of analytics and data visualization tools is a plus to better understand the user’s perspective.
• Preferred knowledge in operations, supply chain, supplier management systems, data analytics, and business process automation.