Senior Manager, Data Science & Advanced Analytics

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow—because at LivaNova, we don’t just treat conditions — we aspire to alter the course of lives.

The Data Science and Advanced Analytics team is seeking a Senior Manager to lead the day-to-day delivery of high-impact data science and advanced analytics across both business unit and enterprise stakeholders. The team helps to enable data-driven decision making across our businesses and supports the automation and AI needs of our stakeholders. The team utilizes dashboarding, statistical modeling, machine learning, forecasting, survival analysis, and AI-enabled solutions, while also supporting self-service tools that enable business teams to own more routine analytics.

This leader will manage and develop a team of applied data scientists and analysts, shape a prioritized portfolio of work, and serve as a trusted partner who translates business questions into scalable analytical products and actionable recommendations. This is a player coach role that requires strong technical judgment and contributions, while simultaneously creating leverage through people leadership, stakeholder alignment, quality standards, and adoption.

What You Will Do

• Lead, coach, and develop data scientists and analysts, setting clear expectations for technical quality, business impact, documentation, communication, and professional growth.
• Own day-to-day portfolio management across commercial and enterprise stakeholders, balancing strategic initiatives, recurring commitments, and urgent business needs.
• Partner with business leaders to identify high-value opportunities for advanced analytics, machine learning, forecasting, causal inference, segmentation, optimization/automation, and AI-enabled decision support.
• Translate ambiguous business questions into well-scoped analytical products with defined users, success measures, timelines, risks, and adoption plans.
• Provide final review and technical guidance for analytical design, model selection, validation, interpretation, explainability, bias assessment, and communication of limitations.
• Drive the transition of basic reporting, routine data pulls, and repeatable analyses to governed self-service solutions or appropriate business owners, including enablement and handoff plans.
• Build reusable approaches, shared standards, and scalable workflows that reduce duplication and improve speed, consistency, and maintainability.
• Ensure insights are communicated as clear business stories with recommendations, trade-offs, and next steps tailored to technical and executive audiences.
• Work closely with IT, data, privacy, legal, compliance, and business teams on data access, platform needs, deployment, governance, and responsible use of analytics and AI.
• Oversee measurement of solution adoption, model performance, operational outcomes, and business value, using results to guide iteration and prioritization.
• Support talent planning, hiring, resource allocation, vendor or contractor coordination, and the continued development of the team operating model.
• Maintain sufficient hands-on technical depth to guide complex work, troubleshoot critical issues, and contribute directly to priority analyses when appropriate.

About You

A strong candidate does not necessarily need to have all of the following, and we encourage you to apply if you bring other relevant skills and perspectives.

• Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative field; advanced degree is strongly preferred.
• 7+ years experience applying data science and advanced analytics to real-world business problems, including ownership from problem definition through adoption and measurement.
• 3+ years in people leadership with experience coaching technical team members, reviewing work, setting standards, and coordinating delivery across multiple projects.
• Expertise in Python or R and strong working knowledge of SQL; experience with modern cloud analytics environments and version-controlled development workflows.
• Demonstrated knowledge of statistical modeling and machine learning methods, with sound judgment about when simpler analytical approaches are more appropriate.
• Experience building trusted partnerships with commercial, marketing, sales, operations, finance, strategy, or other business functions.
• Ability to synthesize complex analyses into concise, decision-oriented recommendations for senior leaders and non-technical audiences.

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