Senior Manager, Data Science & Advanced Analytics

LivaNova PLC; United States; Hybrid; USD 170,000 - 190,000; Full time

Benefits offered by this job

Health benefits

401K Plan

Stock Purchase Plan

Education assistance

Referral bonus

Service awards

Recognition program

Flexible schedules

Vacation time

Job summary

LivaNova PLC is seeking a Senior Manager to lead the day-to-day delivery of high-impact data science and advanced analytics across business units and enterprise stakeholders. You will guide a team of applied data scientists and analysts, shaping a prioritized portfolio of work and translating questions into analytics products.

You will partner with leaders to drive adoption, maintain technical depth, and deliver measurable business value through self-service analytics and governed solutions.

Qualifications

• Bachelor’s degree in a quantitative field; advanced degree preferred.
• 7+ years applying data science to real-world problems with adoption.
• 3+ years in people leadership overseeing technical teams.
• Expertise in Python or R and SQL; cloud analytics experience; version control.

Responsibilities

• Lead and develop data scientists and analysts; set quality and growth expectations.
• Manage portfolio across commercial and enterprise stakeholders.
• Identify high-value opportunities for analytics and AI-enabled decisions.
• Translate business questions into scoped analytical products.
• Ensure insights are communicated as clear business stories.

Skills

Python

R

SQL

Cloud analytics

Leadership

Education

Bachelor's degree in quantitative field

Tools

Git

Jupyter

AWS

Azure

Job description

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.
• Experience developing self‑service analytics, repeatable products, or transition plans that shift routine work closer to business users.
• Excellent prioritization, organizational, and change‑management skills in a fast‑paced, evolving environment.
• Working knowledge of responsible AI, data privacy, model governance, and validation practices; experience in a regulated industry is a plus.
• 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.

Location

US Remote Optional Hybrid in Houston, Arvada, or NYC

Pay Transparency

A reasonable estimate of the annual base salary for this position is $170,000 - $190,000 plus discretionary annual bonus. Pay ranges may vary by location.

Employee benefits

• Health benefits – Medical, Dental, Vision
• Personal and Vacation Time
• Retirement & Savings Plan (401K)
• Employee Stock Purchase Plan
• Training & Education Assistance
• Bonus Referral Program
• Service Awards
• Employee Recognition Program
• Flexible Work Schedules

Valuing different backgrounds: LivaNova values equality and diversity. We are committed to ensuring that our recruitment process is fair, transparent and free from unlawful discrimination. 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.