Senior Manager, Data management

Alexion Pharmaceuticals, Inc.; Comunidad Valenciana; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

An established industry player is on the lookout for a Senior Manager in Data Management to lead innovative data solutions. This role is pivotal in managing data assets and optimizing architecture while collaborating with global stakeholders. The ideal candidate will have a solid background in data warehousing and MDM solutions, with a passion for driving business innovation through effective data strategies. Join a forward-thinking team that values analytical thinking and organizational skills, and contribute to shaping the future of data management in the pharmaceutical sector.

Formación

• 5-7 years of experience in the technology industry, especially with pharmaceutical data.
• Strong experience in data warehousing and MDM solutions.

Responsabilidades

• Deploy and manage master and reference data, ensuring compliance with quality standards.
• Collaborate with teams to define data models and governance standards.

Conocimientos

Data Management

Analytical Skills

Communication Skills

Organizational Skills

Data Governance

Data Warehousing

Integration Processes

Educación

Bachelor's Degree in Computer Science

Bachelor's Degree in Information Systems

Bachelor's Degree in Engineering

Bachelor's Degree in Business

Herramientas

Veeva Network

Reltio

Informatica

Semaphore

Collibra

Descripción del empleo

Alexion RDU is on a mission to build the next generation of patient-centric data analytic and application platforms. We are seeking a passionate individual who excels in utilizing healthcare data and platforms to drive business innovation. As a key member of the RDU IT Data & AI team, the Senior Manager, Data Management will interact closely with IT business partners and business function leadership. This self-starter with strong communication and organizational skills will work to become a trusted partner across Alexion functions, ensuring effective and strategic use of data. Acting in a consultant capacity, this role involves partnering with global business stakeholders and Alexion IT management to manage data assets and optimize architecture. The individual will also understand cross-functional business processes and unique data demands, often participating in matrix teams for solution delivery involving data and platforms.

Accountabilities

The Senior Manager, Data Management will support IT and business-driven activities, including:

• Deploying and managing master and reference data and deploying information standards
• Providing IT leadership for implementing MDM solutions across different business functions
• Acting as system owner for MDM and RDM platforms for Alexion, AstraZeneca RDU, and leading operational support and development teams for existing solutions
• Collaborating with Metadata Management teams, Business Leads, and Information Architects to define data models, data quality rules, and governance standards
• Contributing to decision-making and evaluation of data and/or platform vendors
• Coordinating with internal delivery teams to define project scope, goals, and deliverables, tracking deliverables while ensuring compliance with quality and audit standards
• Supporting key data IT strategies such as Data Governance, Reference Data, Metadata, and Data Provisioning & Ops

Qualifications

• 5 – 7 years of experience in the Technology industry
• Familiarity with pharmaceutical data like Customer and Vendor master – HCP / HCO, Product and Payer Master
• Strong experience in data warehousing and Master, Reference, and Metadata concepts
• Experience in deploying MDM solutions leveraging platforms like Veeva Network, Reltio or Informatica
• Exposure to semantic layer creation using RDM platforms like Semaphore
• Familiarity with profiling and metadata management platforms preferably Collibra
• A bachelor’s degree from an accredited college or university is required, with a major in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline
• Excellent analytical and logical thinking
• Exposure to Integration and Data Engineering processes and concepts