Job Title: Associate Director - Data & AI Architect

Career Level - F

Introduction to role:
The Associate Director - Data & AI Architect will work closely with Business Product Owners, Business Technology Groups, Data Scientists, Information Architects, and Data and AI Engineers. This role will be accountable for the architecture and design across the operational and analytical systems within the Enterprise Data and AI domain, ensuring a holistic Business, Application, Information, and Infrastructure architecture for Data and AI solutions and services.

Accountabilities:
As an Associate Director - Data & AI Architect, you will analyze business Data and AI priorities, strategies, and requirements, translating these into reusable architecture artifacts for the enterprise. You will prepare or review architectural solutions and patterns defined within architecture blueprints and roadmaps. Acting as an authority to the architecture community and the business regarding current architecture decisions for Data & AI, you will define how data will be stored, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data in some way. Additionally, you will provide oversight for engineering activity and transition to service for data build, reporting & analytics build, and initial point of contact for Data & AI architecture queries/change requests.

Essential Skills/Experience:
- Bachelor's Degree or equivalent number of years of experience in a Computer Science or Data Management related field
- The role holder will possess a blend of data architecture, AI architecture, data analysis, and engineering skills
- Extensive experience and knowledge of Data & AI solutions
- Able to contribute to Data & AI strategic vision and planning
- Experience in known industry architectural patterns and reference architectures
- Understands cloud-based containerization strategies for hybrid cloud environments
- Understanding the appropriate data structure and technology based on business use case
- Experience in the use of data modeling technologies
- Experience in the use of metadata cataloguing tools
- Experience in Agile data definition scrums

Desirable Skills/Experience:
- Post-graduate degree in MIS, Data Management
- Extensive experience in a data architect role with practical examples of designing and providing data engineering blueprints that have been pragmatically and actually implemented

When we put unexpected teams in the same room, we unleash bold 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 unique and ambitious world.

At AstraZeneca, you'll be part of a team that has the backing to innovate, disrupt an industry, and change lives. Our work has a direct impact on patients, transforming our ability to develop life-changing medicines. We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data. All with a passion to impact lives through data, analytics, AI, machine learning, and more.

Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Make the impossible possible by building partnerships and ecosystems, creating new ways of working, and driving scale and speed to deliver exponential growth. Be empowered to lead and take on more ownership, working in Technology here means you'll be a self-starter who is comfortable stepping up and taking ownership, willing to constantly explore and challenge the status quo.

Ready to make a meaningful impact? Apply now and join our ambitious team!

Date Posted

Closing Date

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 authorization and employment eligibility verification requirements.