Technical Manager, IT Applications (DATA)

GRIFOLS, S.A. • NC-RTP, CA

1d • Onsite

About The Position

Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions. We believe that diversity adds value to our business, our teams, and our culture. We are committed to equal employment opportunities, fostering an inclusive environment where diversity makes us outstanding. Help us lead one of the world’s largest pharmaceutical companies. We are a world leader in plasma-derived medicines with a presence in more than 100 countries, and a growing global team of over 20.000 people. That’s why we need a TECHNICAL MANAGER IT APPS DATA like you. Mission: You will be responsible for designing and maintaining high‑quality data models that serve as the foundation for enterprise data products while defining the product strategy, requirements, and roadmap to ensure these data assets deliver measurable business value. We are looking for a professional that act as a bridge between business, engineering, analytics, and governance teams, to ensure that data products are well‑structured, compliant, high‑performing, and aligned with organizational objectives.

Requirements

• Bachelor's degree in Computer Science, Data Science, Software Engineering, Systems Engineering, Product Management, or related field.
• Advanced English language skills (spoken and written).
• Minimum of 5 years of experience in data modeling, database design, across platforms including SAP BW, SAP Datasphere, and Microsoft Fabric.
• Experience in managing or contributing to data product development, including requirements gathering and roadmap definition.
• Deep knowledge of data modeling methodologies (relational, dimensional, analytical).
• Familiarity with analytics tooling, BI concepts, data marketplaces, and introductory ML concepts.
• Proficiency with modeling tools such as Erwin or ER/Studio.
• Strong SQL skills and familiarity with Python or R for data manipulation.
• Experience writing user stories, defining requirements, and managing data product backlogs. Specially in SAP Analytics Cloud and MS Power BI.
• Strong ability to influence without direct authority accross business and IT teams.
• Leadership skills and the ability to work as part of a team.
• Excellent facilitation skills, with the ability to drive alignment accross stakeholders with different priorities.
• Confortable operating in a matrixed, global organization and coordinating with teams accross time zones.
• Strong ownership mindset, accountability, and ability to drive topics from ambiguity to execution.
• Problem-solving and critical-thinking abilities.

Nice To Haves

• A Data Modeler with experience in Data Engineering is a plus.

Responsibilities

• Design, develop, and implement conceptual, logical, and physical data models that accurately represent business processes and datasets.
• Create ERDs, data flow diagrams, and other technical artefacts to document the data landscape.
• Collaborate with database administrators, software engineers, and data engineers to deploy and maintain models across databases, data warehouses, and data lakes.
• Conduct performance tuning and optimization to ensure efficient data storage and retrieval.
• Ensure data solutions are aligned with enterprise architecture, governance standards, security requirements and platform capabilities.
• Conduct market and competitive research to identify opportunities for product innovation and differentiation.
• Lead user acceptance testing (UAT) and gather stakeholder feedback to drive iterative product improvements.
• Manage data product catalogs, data contracts (SLAs, sharing agreements), and product governance frameworks.
• Ensure data models and data products comply with organizational standards around data governance, security, quality and compliance. Take into account we work in a highly regulated environment.
• Oversee the definition, maintenance, and adoption of standards for metadata, documentation, and data lineage.
• Partner with business stakeholders to understand strategic priorities, pain points, and data needs.
• Facilitate workshops / sessions with business and IT teams to define requirements, align scope, resolve dependencies, and drive decision-making.
• Build trusted relationships with stakeholders accross functions such as Commercial, Manufacturing, Finance, Supply Chain, Quality, or Plasma Operations.
• Act as coordination point between business teams, IT Data team and other IT teams for data related topics such as architecture, cybersecurity, infrastructure, application teams and Business Relationships Managers.

Benefits

• We are committed to maintaining an atmosphere that encourages all our employees to develop their professional careers in an excellent working environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager