Enterprise Analytics Platform Manager m/f/d

CordenPharma is a leading full-service Contract Development and Manufacturing Organization (CDMO) specializing in active pharmaceutical ingredients (APIs), excipients, drug products (DP), and packaging. With around 3,500 employees worldwide, we help pharmaceutical and biotech companies manufacture medicines with the ultimate goal of improving people’s lives.

Our network, spanning Europe, Asia and the US, provides flexible and specialized solutions across six technology platforms: Peptides, Lipids & Carbohydrates, Injectables, Highly Potent & Oncology, Small Molecules, and Oligonucleotides. We strive for excellence in supporting this network and are committed to delivering the highest quality products for patient well-being.

Our People Vision:
We strive for excellence. We share our passion. Together, we make a difference in patients' lives.

• Lisbon
• as soon as possible
• Full-time
• Permanent

What you can expect

The Enterprise Analytics Platform Manager is responsible for designing, governing, and evolving CordenPharma's enterprise-wide analytics ecosystem with a strong focus on Microsoft Fabric, Data Warehouse architecture, and the Enterprise Semantic Layer. The role serves as the technical authority for enterprise data platforms, ensuring scalable, secure, and business-aligned analytics capabilities across a global multi-site environment. Working closely with business stakeholders, IT teams, and external service providers, the role translates business requirements into sustainable architectural BI solution designs, enabling trusted, data-driven decision-making throughout the organization.

Strategic Responsibilities

• Define and own the enterprise analytics platform strategy, leveraging Microsoft Fabric and modern Data Warehouse technologies.
• Design and continuously evolve the global Data Warehouse architecture supporting reporting, analytics, and future AI-driven capabilities.
• Establish and govern the Enterprise Semantic Layer to ensure globally consistent KPI definitions, business rules, and data models.
• Develop enterprise-wide standards, governance frameworks, and data architecture principles for analytics platforms.
• Drive harmonization of data structures and reporting logic across multiple sites and business functions.
• Ensure scalability, security, performance, and long-term maintainability of the analytics landscape.

Operational Responsibilities

• Own the end-to-end architecture for data ingestion, transformation, storage, semantic modeling, and consumption.
• Supervise and mentor external Power BI developers, ensuring adherence to architectural standards, reporting design guidelines, development best practices, and overall platform governance
• Design and maintain enterprise-grade Data Warehouse solutions, data pipelines, and semantic models.
• Translate business requirements into robust architectural BI solution designs that align business needs with technical capabilities.
• Define and enforce data governance, security concepts, and role-based access models across the analytics platform.
• Partner with Global Process Owners and business stakeholders to identify and prioritize analytics initiatives.
• Manage and coordinate external implementation and development partners.
• Act as the escalation point and technical authority for enterprise analytics architecture and data platform decisions.

To successfully master this role, we are looking for the following qualifications:

• Degree in Computer Science, Information Systems, Data Engineering, Business Informatics, or a related field.
• Several years of experience designing and implementing enterprise-scale Data Warehouse and Analytics Platforms.
• Strong hands-on experience with Microsoft Fabric and modern cloud-based analytics architectures.
• Proven track record in defining and governing Enterprise Semantic Layers and enterprise data models.
• Deep understanding of Data Architecture, Data Modeling, ETL/ELT frameworks, and Data Governance.
• Experience translating business needs into scalable architectural BI solution designs.
• Strong stakeholder management skills with the ability to bridge business and technology teams.
• Fluent written and spoken English is required; additional languages are considered an advantage.