Senior Manager, Data Science & AI Analytics - Remote

LivaNova PLC; Houston, Arvada, New York (TX, CO, NY); Hybrid; USD 170,000 - 190,000; Full time

Benefits offered by this job

Health benefits

401K

Stock Purchase Plan

Flexible schedules

Annual bonus

Referral program

Service awards

Job summary

LivaNova is seeking a Senior Manager of Data Science and Advanced Analytics to lead a team delivering high-impact analytics across commercial and enterprise stakeholders. You will translate business questions into scalable analytical products, mentor data scientists, and drive adoption of self-service solutions.

This role requires 7+ years in data science, 3+ years in leadership, Python or R and SQL, cloud analytics, and the ability to communicate with executives.

Qualifications

• 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.
• 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.

Responsibilities

• Lead, coach, and develop data scientists and analysts, setting clear expectations for technical quality and business impact.
• Own day-to-day portfolio management across commercial and enterprise stakeholders; balance strategic initiatives and urgent needs.
• Partner with business leaders to identify high-value opportunities for analytics, ML, forecasting, segmentation, 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, and bias assessment.
• Drive the transition of basic reporting and repeatable analyses to governed self-service solutions with ownership handoffs.
• Build reusable approaches, shared standards, and scalable workflows to improve speed and maintainability.
• Communicate insights as clear business stories with recommendations and trade-offs for executives.
• Work with IT, privacy, legal, compliance, and business teams on data access, deployment, governance, and responsible use of analytics and AI.
• Oversee measurement of adoption, model performance, and business value to guide iteration and prioritization.
• Support talent planning, hiring, and the continued development of the team operating model.

Skills

Python or R

SQL

Statistical modeling

Machine learning

Data-driven decision making

Self-service analytics

Stakeholder communication

Education

Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, economics, or related quantitative field

Advanced degree preferred

Tools

Cloud analytics environments

Version-controlled development workflows

Job description

LivaNova is seeking a Senior Manager of Data Science and Advanced Analytics to lead a team delivering high-impact analytics across commercial and enterprise stakeholders. You will translate business questions into scalable analytical products, mentor data scientists, and drive adoption of self-service solutions.

This role requires 7+ years in data science, 3+ years in leadership, Python or R and SQL, cloud analytics, and the ability to communicate with executives.