Sr. Manager, Data Science & Analytics

Nova Biomedical • Waltham, MA

13h

About The Position

The Sr. Manager, Data Science & Analytics will lead Nova’s data analytics and data science capability. The role requires a strong data science background and the ability to grow and oversee data analytics and reporting. It is responsible for building trusted enterprise insights while advancing predictive and prescriptive methods and core machine learning models and algorithms to enable the business, improve customer experience, generate product insights, and expand product performance through models deployed within or outside products.

This leader will build a high-impact data science function supporting Nova’s digital, data, and AI transformation; create trusted analytics and modeling capabilities that influence enterprise decisions; connect immediate insight needs with a modern, scalable data foundation; and establish the foundation for data science capabilities that support product innovation. The position is based in the USA, with the Waltham, Massachusetts area preferred.

Requirements

• Master’s degree in data science, statistics, analytics, engineering, computer science, business analytics, or a related field.
• 10 or more years of experience in analytics, BI, data science, applied machine learning, and enterprise insight delivery.
• Experience managing technical analytics teams, consultants, or cross-functional analytical programs.
• Strong knowledge of statistical analysis, data visualization, forecasting, model validation, business performance measurement, and dashboarding.
• Familiarity with modern data platforms, governed semantic/data models, and enterprise reporting environments.
• Strong executive communication, stakeholder management, and prioritization skills.

Nice To Haves

• PhD.
• Experience in medical device, diagnostics, life sciences, regulated manufacturing, or healthcare environments.
• Experience harmonizing analytics across ERP, CRM, data lake/lakehouse, IoT device data, complaints, and field data.
• Experience building analytics operating models, metric registries, or self-service analytics programs.

Responsibilities

• Lead data science and analytics as an enterprise technical expert across priority business domains, including workforce, customer, and product.
• Build and manage a roadmap for trusted reporting, self-service analytics, data science, and advanced analytics use cases.
• Manage internal employees and external consultants, including data scientists, analysts, and report developers.
• Establish standards for analytical methods, dashboard design, metric definitions, model validation, documentation, and insight delivery.
• Partner with business leaders to identify high-value opportunities and turn ambiguous questions into prioritized analytical work.
• Oversee forecasting, classification, optimization, anomaly detection, statistical analysis, experimentation, and model validation efforts.
• Ensure analytics outputs align with governance, data quality, regulatory, and source-of-truth expectations.

Benefits

• Comprehensive health coverage (generally available to full-time employees; benefits vary by country and employment type).
• Retirement savings options (generally available to full-time employees; benefits vary by country and employment type).
• Paid time off (generally available to full-time employees; benefits vary by country and employment type).
• Wellness initiatives (generally available to full-time employees; benefits vary by country and employment type).
• Resources for development (generally available to full-time employees; benefits vary by country and employment type).
• Competitive benefits designed to support employee health, financial security, work-life balance, and professional growth.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior