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. 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.
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.
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.
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.
Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative field; 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.
~ Experience developing self-service analytics, repeatable products, or transition plans that shift routine work closer to business users.
~ Working knowledge of responsible AI, data privacy, model governance, and validation practices; Healthcare, medical-device, CRM, electronic health record, or claims-data experience is a plus.
~ An interest in learning about other areas of the business like commercial, operations, finance, clinical is a plus.

Travel Requirements
~ Limited travel, generally less than 10%, may be required.

US Remote
A reasonable estimate of the annual base salary for this position is $170,000 - $190,000 plus discretionary annual bonus. Health benefits – Medical, Dental, Vision
Personal and Vacation Time
Retirement & Savings Plan (401K)
Employee Stock Purchase Plan
Training & Education Assistance
Bonus Referral Program
Flexible Work Schedules
LivaNova values equality and diversity. Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of a candidate’s sex, gender identity, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected classification.
In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.
The scammers may attempt to solicit confidential, personal information, such as a social security number, or your financial information. LivaNova will never ask for fees prior/during/after the application process, nor will we ask for banking details or personal financial information in return for the assurance of employment.