Senior Manager, Data Platform Engineering

Nova Biomedical • Waltham, MA

1d

About The Position

The Senior Manager, Data Platform Engineering will lead Nova Biomedical’s data analytics and data science capabilities. The role calls for a strong data science background and the ability to grow and oversee analytics and reporting. Its central responsibilities are to build trusted enterprise insights and advance predictive and prescriptive methods, including machine learning models and algorithms, to support business decisions, improve customer experience, generate product insights, and improve product performance through models deployed within or outside products.

This is an enterprise-level technical leadership role across workforce, customer, and product domains. The manager will build a roadmap for reporting, self-service analytics, data science, and advanced analytics; manage employees and external consultants; establish standards for analytical work; and partner with business leaders to turn business questions into prioritized analytical projects. The role also oversees a range of statistical and modeling efforts and ensures outputs meet governance, quality, regulatory, and source-of-truth expectations.

The position is based in the USA, with the Waltham, Massachusetts area preferred. The stated salary range is $200,000 to $240,000 yearly.

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 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 translate ambiguous questions into prioritized analytical work.
• Oversee forecasting, classification, optimization, anomaly detection, statistical analysis, experimentation, and model validation.
• Ensure analytics outputs align with governance, data quality, regulatory, and source-of-truth expectations.

Benefits

• Comprehensive health coverage for full-time employees, generally.
• Retirement savings options for full-time employees, generally.
• Paid time off for full-time employees, generally.
• Wellness initiatives.
• Resources for professional development.

What This Job Offers

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