We are searching for an experienced Lead Data Modeler to join our team and contribute to designing, maintaining, and evolving our organization’s data architecture.
This role will ensure best practices, standards, and strategies are implemented across our data models while collaborating with cross-functional teams to meet organizational goals.
Responsibilities
Establish, maintain, and evolve information architecture best practices, guidelines, and principles in alignment with the Client's Data Strategy team
Drive data modeling initiatives and support the architecture, design, and development of data systems
Develop and maintain conceptual, logical, and physical data models using established data modeling guidelines
Ensure data models align with relevant industry standards and adhere to best practices
Capture and maintain metadata within the enterprise data catalog solution
Evaluate data models in commercially available applications prior to procurement
Educate and mentor team members, as well as the broader data community, on data strategy directives, principles, and standards
Ensure adherence to security and compliance policies within the scope of Enterprise Information Architecture
Collaborate with business partners, IT teams, architecture teams, and contractors to design data models that meet requirements
Define and promote compliance with best practices, conducting data design reviews throughout the development lifecycle
Requirements
University degree equivalent to a BS/MS in Computer or Life Sciences
7+ years of experience, including a focus on Business Analysis involving business process reengineering, user requirements gathering, workshop facilitation, and change management
At least 1 year of relevant leadership experience
Practical experience with Data Analytics, SQL, and DWBI tools
Strong expertise in Data Modeling, including the ability to create Erwin diagrams
Proficiency in communication, with excellent verbal and written English skills (B2 level)
Nice to have
2+ years of experience in the Pharmaceutical Industry, preferably in the commercial IT function
Background in Agile methodologies and team coordination efforts
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