Note: The job is a remote job and is open to candidates in USA. Nova Biomedical develops solutions for biopharmaceutical and clinical markets and is seeking a Sr. Manager, Data Science & Analytics to lead its data analytics and data science capabilities. The role will build trusted enterprise insights, oversee predictive and prescriptive analytics and machine learning initiatives, manage technical teams and consultants, and partner with business leaders to deliver measurable value.
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
Skills
- Master's degree in data science, statistics, analytics, engineering, computer science, business analytics, or a related field
- 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
- PhD preferred
- 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
Benefits
- Full-time employees can generally expect comprehensive health coverage
- Full-time employees can generally expect retirement savings options
- Full-time employees can generally expect paid time off
- Full-time employees can generally expect wellness initiatives
- Full-time employees can generally expect resources for development
Company Overview
Company H1B Sponsorship