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- Tasks: Lead the development of digital algorithms to enhance supply chain efficiency.
- Company: AstraZeneca is a global biopharmaceutical company focused on innovative medicines.
- Benefits: Enjoy flexible working options and a supportive team culture.
- Why this job: Join a dynamic team driving innovation in healthcare with a focus on collaboration.
- Qualifications: Experience in digital strategy, data analysis, and logistics management required.
- Other info: In-person work fosters collaboration; apply by 26-Jun-2025.
The predicted salary is between 43200 - 72000 £ per year.
The Decision Architect is tasked with spearheading digital tools and methods to enhance AstraZeneca's supply chain efficiency. This role requires a blend of data analytical skills, AI/ML know-how and the ability to align IT strategies with business objectives, ensuring that digital solutions meet the needs of stakeholders. This role has a global focus, addressing the digital and technological needs across AstraZeneca’s supply chain functions with an emphasis in Logistics.
Key Responsibilities
- Algorithmic Development: Lead the design and development of cutting-edge data-driven & digital algorithms for the agreed use cases to enhance supply chain processes and decision-making. Work with IT and data science teams to validate models and ensure they align with the program’s goals and objectives. Continuously refine algorithms based on performance data and feedback, ensuring they remain relevant and effective.
- Integration Alignment: Ensure seamless integration of data analysis & digital capabilities with AstraZeneca’s existing IT infrastructure and systems. Collaborate with IT to design integration solutions that are secure, efficient, and capable of scaling with the business. Conduct regular reviews of integration processes, identifying opportunities for improvement and ensuring alignment with strategic goals.
- Liaison Duties: Act as the primary point of contact between the data science team and the IT department, ensuring a clear understanding of needs and priorities. Facilitate knowledge-sharing sessions between data & digital teams and IT professionals to foster collaboration and innovation. Ensure that all digital initiatives support and enhance IT strategies, business requirements, and regulatory compliance.
- Data Governance: Adopt the Operations Data Office data governance standards to ensure the program complies and builds upon them. Monitor data usage and practices to ensure adherence to AstraZeneca's data governance policies.
- Product Ownership: Own decision intelligence tools for the Business Area (Network Planning or Logistics) such as Aera.
Essential Skills & Criteria
- Extensive years of experience in digital or technology strategy within a large enterprise.
- Proficiency in digital tools and statistical software (e.g., Python, R, SQL) for data analysis and model development.
- Significant experience in freight, Transport management, Warehousing or Logistics Management.
- Familiarity with AstraZeneca's IT systems and data frameworks.
- Ability to work collaboratively with IT departments, aligning technical initiatives with strategic business goals.
- Understanding of supply chain digital platforms and their integration within the business ecosystem.
- Engineering, Business or alternative undergraduate degree.
- Data Science / ML certification.
Desirable
- Experience in a healthcare or pharmaceutical setting, understanding industry-specific data challenges.
- Expertise in developing data-driven & digital strategies and roadmaps.
- MBA degree.
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.
WHY JOIN US
AstraZeneca offers an environment where you can pioneer new approaches and processes across our sites. We empower our teams to foster a Lean mindset and sustainable practices. Every change we make is aimed at delivering better outcomes for our patients. With a supportive team culture that values diverse expertise and cross-functional collaboration, we ensure everyone’s voice is heard. Our commitment to adaptability allows us to overcome obstacles effectively. Join us to be part of a dynamic team that drives innovation and excellence. Ready to make a difference? Apply now!
Date Posted: 10-Jun-2025
Closing Date: 26-Jun-2025
Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
Self - Healing Decision Architect employer: AstraZeneca
Contact Detail:
AstraZeneca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Self - Healing Decision Architect
✨Tip Number 1
Familiarise yourself with AstraZeneca's IT systems and data frameworks. Understanding their specific tools and processes will give you an edge in discussions and demonstrate your commitment to aligning with their business objectives.
✨Tip Number 2
Showcase your experience in freight, transport management, or logistics management during networking opportunities. Engaging with professionals in these areas can provide insights into the role and help you make valuable connections.
✨Tip Number 3
Participate in relevant industry events or webinars focused on digital supply chain solutions. This not only enhances your knowledge but also allows you to meet potential colleagues and learn about the latest trends that could be beneficial for the role.
✨Tip Number 4
Engage with online communities or forums related to data science and supply chain management. Sharing your insights and learning from others can help you stay updated and may even lead to referrals for the position.
We think you need these skills to ace Self - Healing Decision Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Self-Healing Decision Architect position. Tailor your application to highlight how your skills in data analysis, AI/ML, and supply chain management align with AstraZeneca's needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your extensive experience in digital or technology strategy, particularly within large enterprises. Mention specific projects where you've developed algorithms or integrated digital tools that improved supply chain processes.
Showcase Technical Skills: Clearly outline your proficiency in digital tools and statistical software such as Python, R, and SQL. Provide examples of how you've used these tools in previous roles to drive decision-making and enhance operational efficiency.
Demonstrate Collaboration: AstraZeneca values collaboration between teams. In your application, include examples of how you've successfully worked with IT departments and data science teams to align technical initiatives with business goals, ensuring a seamless integration of digital capabilities.
How to prepare for a job interview at AstraZeneca
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in digital tools and statistical software like Python, R, and SQL. Be prepared to discuss specific projects where you've successfully applied these skills to solve complex problems in supply chain management.
✨Understand AstraZeneca's Business Goals
Familiarise yourself with AstraZeneca's strategic objectives and how the role of a Self-Healing Decision Architect aligns with them. This will demonstrate your commitment to contributing to the company's success and your ability to integrate IT strategies with business needs.
✨Prepare for Collaboration Scenarios
Since this role involves liaising between data science and IT teams, be ready to discuss your experience in fostering collaboration. Think of examples where you facilitated knowledge-sharing or resolved conflicts between technical and non-technical stakeholders.
✨Emphasise Data Governance Knowledge
AstraZeneca values adherence to data governance standards. Be prepared to talk about your understanding of data governance policies and how you've implemented them in previous roles, ensuring compliance and effective data usage.
