Manager, Data Foundations & Integration

About Pharma Essentia:
It’s not often you get the chance to make a real impact on the lives of others, while expanding your own possibilities. You’ll find that rare opportunity n us, and let’s transform lives, together.
Pharma Essentia Corporation is a rapidly growing biopharmaceutical innovator. We are leveraging deep expertise and proven scientific principles to deliver effective new biologics for challenging diseases in the areas of hematology and oncology, with one product approved and a diversifying pipeline. We believe in the potential to improve both health and quality of life for patients with limited options today through the combination of rigorous research and innovative thinking.

Founded in 2003 by a team of Taiwanese-American executives and renowned scientists from U.S. biotechnology and pharmaceutical companies, today we are listed on the Taiwan Stock Exchange (TWSE: 6446) and are expanding our global presence with operations in the U.S., Japan, Singapore, South Korea, and China, along with a world‑class biologics production facility in Taichung.

The Global Data & AI Enablement team is seeking an experienced Manager, Data Foundations & Integration to lead data ingestion, integration, governance, and the day‑to‑day operation of the enterprise data foundation supporting commercial analytics, data products, and AI capabilities. Reporting to the Data Strategy & Operations Lead, this role will oversee the onboarding and reliable delivery of data from internal systems and external data providers into the company’s data warehouse environment.

External vendors will perform the hands‑on backend engineering required to build, deploy, and operate ETL pipelines. The Manager will provide internal oversight of these activities, including defining requirements and priorities, reviewing proposed solutions, setting quality and service expectations, monitoring vendor performance, and approving production delivery. The role will also own the operating models for Data Correction Requests (DCR), Master Data Management (MDM), data governance, and data warehouse platform operations.

This is an operating‑leadership role for someone who can provide informed direction to technical vendors while maintaining a strong focus on data quality, business requirements, operational reliability, and continuous improvement. The successful candidate will ensure that foundational data is reliable, governed, documented, and ready for use by downstream data products, analytics, and AI applications.

• Oversee the end-to-end data‑ingestion lifecycle, including source assessment, onboarding, prioritization, requirements definition, data mapping, delivery cadence, validation, production approval, and operational handoff.
• Direct external vendors responsible for designing, building, testing, deploying, and operating ETL pipelines that bring internal and third‑party data into data warehouse.
• Translate business and downstream data needs into clear ingestion requirements, technical specifications, data contracts, quality controls, and acceptance criteria for vendor execution.
• Review vendor‑proposed pipeline designs, source‑to‑target mappings, transformation logic, test results, and implementation plans to ensure alignment with internal architecture, security, quality, and maintainability standards.
• Manage vendor delivery against approved scope, timelines, service levels, cost expectations, and quality standards; resolve delivery issues and elevat material risks when necessary.
• Monitor data freshness, completeness, accuracy, and pipeline reliability, and coordinate incident response, root‑cause analysis, remediation, and stakeholder communication when issues arise.
• Establish clear ownership,…