Senior Manager, Data Platform Engineering

Job Description

Job Description

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 Senior Manager, Data Platform Engineering will lead the capability responsible for the foundational data platform that enables trusted analytics and scalable AI. This role will guide the design, build, and operation of data lake/lakehouse capabilities, pipelines, integrations, data models, and engineering practices that support Nova's enterprise data strategy.

Why This Role Matters

• Build the data foundation for Nova's analytics, AI, and digital transformation ambitions.
• Lead a critical capability at the intersection of enterprise systems, data governance, analytics, and AI.
• Create standards that make data more reliable, reusable, secure, and accessible across the company.

Responsibilities

• Lead design and delivery of the next-generation data platform, including data lake/lakehouse structures, pipelines, integrations, and central data models.
• Establish engineering standards for ingestion, transformation, CI/CD, version control, documentation, testing, observability, and environment management.
• Manage data platform engineering resources and external consultants supporting platform buildout.
• Partner with analytics, data science, AI engineering, IT, cybersecurity, governance, and business stakeholders to prioritize data products and integrations.
• Ensure pipelines and data products are reliable, secure, scalable, well-documented, and aligned with governance and quality expectations.
• Support integration of major enterprise systems and priority data sources into governed data foundations.
• Coordinate with DataOps resources to transition critical pipelines into monitored, supportable operations.

Qualifications

• Bachelor's degree in computer science, data engineering, information systems, engineering, or related field.
• 5-8+ years of experience with a graduate degree, or 8-10+ years without
• Experience leading data engineering, data architecture, cloud data platform, or enterprise integration work.
• Strong understanding of data lakes/lakehouses, pipelines, data modeling, CI/CD, orchestration, APIs, version control, and data quality practices.
• Experience managing technical teams, consultants, or vendors.
• Familiarity with enterprise applications, governed analytics environments, and secure data access patterns.
• Strong collaboration skills across IT, business, analytics, and AI stakeholders.
• 5–8 experience years with a graduate degree or 8–10 experience years without

Preferred Experience

• Experience with Microsoft Fabric, Azure, Databricks, SAP, Salesforce, or modern data governance tools.
• Experience building platform operating models, data product practices, or DataOps handoff processes.
• Experience in medical device, diagnostics, life sciences, manufacturing, or regulated environments.

What Success Looks Like

• Core data platform capabilities are delivered in a scalable, governed, and supportable way.
• Priority integrations are available for analytics, AI, and business reporting.
• Engineering standards improve reliability, delivery speed, and maintainability.

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.

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