Data Lead - AI & Data Platforms in Pharma

Tecnimede Group; Sintra; Presencial; EUR 80 000 - 120 000; Tempo integral

Resumo da oferta

Tecnimede Group seeks a Data Lead to shape data ecosystems and governance in a pharmaceutical context. You will lead a data team, align platforms with business goals, and drive secure, compliant data delivery across MES/EBR/SAP/DMS/LIMS/QMS environments.

You will translate business needs into scalable AI-driven insights, build dashboards and predictive models, and collaborate with cross-functional teams to deliver value while maintaining GDPR and GMP standards.

Qualificações

• Minimum 8 years in Engineering/Data Science with at least 3 years in technical leadership.
• Experience with on-premises (SQL, Oracle, Hana) and Cloud (AWS, Azure) environments.
• Ability to explain AI/ML models to non-technical stakeholders and regulatory authorities.

Responsabilidades

• Lead the design and implementation of data ecosystems aligned with business objectives (Data MES/EBR/SAP/DMS/LIMS/QMS).
• Lead the implementation of data platforms and integrations using standard methodologies (e.g., Agile) ensuring fast, secure, and quality delivery.
• Ensure GDPR and GMP compliance, promoting governance, integrity, and traceability.
• Define and coordinate a team of Data Scientists translating needs into scalable solutions.
• Collaborate with functional teams to transform raw data into insights and analytical models.
• Define and provide dashboards, reports, and predictive models based on AI.

Conhecimentos

Data leadership

Data governance

AI/ML modelling

Power BI

SQL

Oracle

HANA

AWS

Azure

SAP CPI

GDPR compliance

Ferramentas

SQL

Oracle

HANA

AWS

Azure

Power BI

SAP CPI

Descrição da oferta de emprego

Tecnimede Group seeks a Data Lead to shape data ecosystems and governance in a pharmaceutical context. You will lead a data team, align platforms with business goals, and drive secure, compliant data delivery across MES/EBR/SAP/DMS/LIMS/QMS environments.

You will translate business needs into scalable AI-driven insights, build dashboards and predictive models, and collaborate with cross-functional teams to deliver value while maintaining GDPR and GMP standards.