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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Science & Advanced Analytics - **Company:** LivaNova, PLC - **Location:** Arvada, CO, United States (Remote available) - **Experience:** Expert - **Salary:** $170,000 - $190,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Security, Decision Support Systems, Python (Programming Language), Machine Learning, Standard Sql, Electronic Medical Records, Information Technology - **Published:** October 26, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-manager-data-science-advanced-analytics/11849131?handler=ApplyRedirect ## About the Role 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. ## Description 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.