Advanced Analytics Senior Manager

Medtronic•Boston, MA

3d•$155,200 - $232,800•Remote

About The Position

The Manager of Advanced Analytics Applications leads a high-performing team responsible for delivering business-facing analytics applications across the Microsoft Power Platform within Global Operations & Supply Chain (GO&SC). This leader will ensure delivery of scalable, reliable, and innovative analytics solutions that empower decision-making across PLAN, DELIVER, TRADE, and other Centers of Excellence (COEs). You will drive the strategic vision of analytics within GO&SC, manage and mentor a team of analysts and developers, and partner with business stakeholders and data teams to deliver applications that simplify operations and improve outcomes. A key accountability is maintaining and enhancing the production analytics environment, ensuring operational continuity, data quality, and user satisfaction. This is both a strategic and hands-on leadership role—you'll set direction, shape analytics architecture, and foster a culture of innovation, agility, and customer centricity.

Requirements

Bachelor’s degree with a minimum of 7 years of relevant analytics experience, including 2+ years in a leadership or managerial role.

Nice To Haves

Demonstrated expertise in building business applications using Power BI, SQL, DAX, and the Microsoft Power Platform.
Strong communication and leadership skills with the ability to influence, educate, and manage diverse stakeholders.
Proven track record managing production environments and delivering business-critical applications with high reliability.
Master’s degree in Data Science, Analytics, Computer Science, or related field.
Experience in UX/UI design and user-centered development.
Background in Supply Chain, Planning, or Medical Devices/regulated industries.
Familiarity with Agile methodologies and product lifecycle management.

Responsibilities

Lead and mentor a team of analytics professionals developing applications using Power BI, Power Apps, Power Automate, SQL, and DAX.
Translate strategic business questions into scalable, easy-to-understand analytics solutions.
Oversee production support and application lifecycle management to ensure high availability, performance, and end-user satisfaction.
Define analytics standards, best practices, and reusable components to accelerate development and quality.
Collaborate cross-functionally with COEs, SMEs, and Data Services to align analytics tools with business processes and strategic goals.
Proactively identify and advocate for improvements in data governance, architecture, and user experience.
Foster a customer-centric mindset within the team, ensuring excellent stakeholder engagement and service delivery.
Promote a culture of experimentation, continuous learning, and data-driven decision making.
Partner with IT, data engineering, and business leaders to align analytics capabilities with enterprise initiatives.