Senior Manager, Data Platform Engineering

NOVA Biomedical GmbH; Waltham (MA); On-site; USD 200,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Retirement savings options

Paid time off

Wellness initiatives

Development resources

Job summary

Nova Biomedical Corporation is seeking a Sr Manager, Data Platform Engineering to lead our data analytics and data science capability. You will drive trusted enterprise insights while advancing predictive methods and core ML models to enable business growth and improved product performance.

The role bridges immediate analytics needs with a modern, scalable data foundation and requires strong leadership of cross-functional teams and senior stakeholder collaboration.

Qualifications

• Master’s degree required or equivalent in data science, statistics, analytics, engineering, CS, or related field.
• 10+ years of analytics, BI, data science, and enterprise insight delivery experience.
• Experience managing analytics teams, consultants, or cross-functional programs.
• Strong knowledge of statistical analysis, data visualization, forecasting, model validation, and dashboards.
• Familiarity with modern data platforms and governed semantic/data models.

Responsibilities

• Lead data science and analytics across priority domains (workforce, customer, product).
• Build and manage roadmaps for reporting, self-service analytics, data science, and advanced analytics use cases.
• Manage data scientists, analysts, and report developers, including external consultants.
• Set standards for analytical methods, dashboards, metrics, and model validation.
• Partner with business leaders to identify high-value opportunities and prioritize work.
• Oversee forecasting, classification, optimization, anomaly detection, experimentation, and model validation.

Skills

Data science

Analytics

Machine learning

Dashboarding

Statistical analysis

Data visualization

Executive communication

Stakeholder management

Prioritization

Cross-functional leadership

Education

Master’s degree in data science / related field

PhD preferred

Tools

Data platforms

Semantic models

Enterprise reporting environments

BI tools

Job description

Career Opportunities with Nova Biomedical Corporation

Nova Biomedical is an Equal Opportunity Employer in compliance with Affidative Action in hiring and promoting women, minorities, veterans and individuals with disabilities.

Location: USA / Waltham, MA area preferred

Salary Range: $200,000 to $240,000 yearly

Team: Data & AI

Company Overview

Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and Nova Biomedical are now united under one brand, Nova Biomedical, marking a major milestone in our journey to deliver greater value to our customers. By combining our strengths, we are accelerating innovation, supporting critical workflows, and delivering world-class service across the biopharmaceutical and clinical markets.

Driven by innovation and guided by our core values — Customer Centricity, Ingenuity, Ownership & Accountability, Collaboration, and Integrity — Nova creates solutions that make a global impact. At Nova, candidates will find opportunities to grow, contribute, and help build a culture focused on transparency, sustainability, effective communication, and employee engagement.

Job Summary

The Sr Manager, Data Platform Engineering will lead Nova's data analytics and data science capability. The successful candidate will have a strong data science background first, while also showing the ability to grow and oversee data analytics and reporting. This role is fundamentally responsible for two areas: helping build trusted enterprise insights (data analytics) while also advancing predictive and prescriptive methods and core machine learning models/algorithms (data science) to enable the business, improve customer experience, generate product insights, and expand product performance via models deployed within or external to the product.

Why This Role Matters

Lead a high-impact data science function at the center of Nova's digital, data, and AI transformation.

Create trusted analytics and modeling capabilities that can influence decisions across the enterprise.

Build the bridge between immediate insight needs and a modern, scalable data foundation.

Create the foundation for data science capabilities that will directly support product innovation.

Responsibilities

Enterprise role and technical expert leading data science and analytics across priority business domains (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 convert 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.

Qualifications

Master’s degree in data science, statistics, analytics, engineering, computer science, business analytics, or a related field; PhD preferred.

Significant (10+ yrs) 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.

Preferred Experience

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.

What Success Looks Like

Analytics and data science work is prioritized around measurable business impact.

Reporting trust improves through clearer definitions, governance, documentation, and adoption.

Data science use cases generate practical recommendations, measurable value, and reusable methods.

Benefits and Growth

Nova offers competitive benefits designed to support employee health, financial security, work-life balance, and professional growth. Benefits vary by country and employment type; full-time employees can generally expect comprehensive health coverage, retirement savings options, paid time off, wellness initiatives, and resources for development.