Information Architect – Master and Reference Data Management

Information Architect – Master and Reference Data Management

Introduction to role

At AstraZeneca, we’re driven by innovation and a dedication to pushing the boundaries of science to deliver life-changing medicines. Our Enterprise Data Office (EDO) is a central IT function newly formed to define and deliver enterprise data strategies and standards. We collaborate closely with Business Technology Groups (BTGs), SET Area Data Offices (SEDOs), and data governance teams to design and deliver data products, including Data Mesh architectures, analytical solutions, and enterprise information architectures.

As part of the EDO, our Enterprise Information Architecture (EIA) Practice specializes in Enterprise Information Architecture, Data Modelling, and Data Analysis. We lead cross-organizational efforts to define and deliver enterprise-level data architectures and strategies, supporting initiatives like Data Mesh, Data Platforms, and FAIR Data principles. Our work is critical to ensuring AstraZeneca’s data is effectively ingested, processed, transformed, and governed for maximum business value.

We are excited to announce a new role within our EIA Practice: Information Architect – Master and Reference Data Management. This position is pivotal in crafting and governing enterprise Master Data Management (MDM) and Reference Data Management (RDM) solutions, strategies, and architectures. If you are an experienced data architect with a solid background in MDM and RDM solutions, this is an outstanding opportunity to influence AstraZeneca’s enterprise data landscape.

Accountabilities

Master and Reference Data Architecture:
Define and govern enterprise-level architectures, strategies, and models for Master Data Management (MDM) and Reference Data Management (RDM), consolidating and standardizing approaches across business units and projects.

Enterprise Data Strategy Support:
Contribute to enterprise data strategies, including regulatory and technical governance in Data Mesh architectures, data innovation, and governance policies and standards.

Strategic and Tactical Architectural Thinking:
Deliver coherent architectural thinking across information and data architectures, aligning MDM and RDM solutions with enterprise data strategies and business objectives.

Data Integration and Modelling:
Support or lead the development of data integration architectures and logical, physical, and semantic data models, ensuring alignment with enterprise frameworks and standards.

Architectural Governance:
Drive architectural governance by developing architectural decisions, guidelines, and frameworks. Present and gain approval for artifacts at governance forums, ensuring compliance with enterprise standards.

Technology Evangelism and Education:
Act as a champion for MDM/RDM solutions, leading informative initiatives to promote standard methodologies and align teams with enterprise architecture goals.

Solution Architecture Expertise:
Select and design appropriate architectures and patterns to address a variety of business use cases, including traditional reporting, analytics, data science, and operational needs.

Essential Skills/Experience

- Bachelor’s degree in Computer Science, Data Management, or a related field, or equivalent experience.
- Good experience in Master Data Management (MDM) and Reference Data Management (RDM), including hands-on expertise with leading solutions such as Informatica MDM, SAP Master Data Governance (MDG), IBM InfoSphere MDM, or Talend MDM.
- Demonstrable experience as a Solution Architect in implementing MDM/RDM solutions, including strategy, design, and deployment.
- Proficiency in conceptual and logical data modelling technologies and methodologies.
- Familiarity with enterprise data governance frameworks, including regulatory compliance and technical governance.
- Practical knowledge of cloud-based data platforms, hybrid cloud environments, and containerization strategies.
- Solid understanding of data lifecycles and appropriate data structures to meet diverse business use cases.

Desirable Skills/Experience

- Experience delivering data engineering/architectural blueprints and seeing them through to implementation.
- Demonstrable experience working with Reference Data Management (RDM) solutions, such as Informatica Reference 360, Ataccama ONE, TIBCO EBX, Semarchy xDM or Semaphore.
- Familiarity with emerging approaches like Data Mesh and its distinction from Data Fabric or traditional Data Platforms.
- Hands-on experience with tools like metadata cataloging tools, data modeling tools, or enterprise architecture tools.
- Experience working in Agile environments, particularly with data definition scrums.

When we put unexpected teams in the same room, we unleash ambitious thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions.

That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and ambitious world.

Join a team of highly qualified professionals who are also persuasive communicators with the ability to negotiate with empathy. We're always mindful of the human impact of the changes we drive, which helps us reach better well-rounded solutions for the business.

Ready to make an impact? Apply now!

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.