Self - Healing Decision Architect

AstraZeneca; Macclesfield; On-site; GBP 70,000 - 100,000; Full time

Job summary

A global leader in biopharmaceuticals seeks a 'Self-Healing Decision Architect' to enhance supply chain efficiency through data-driven algorithms and digital tools. This role involves collaboration across IT and data science teams to ensure seamless integration and alignment with business objectives. Candidates should possess significant experience in technology strategy and a strong foundation in data analysis and logistics management.

Qualifications

• Extensive experience in digital or technology strategy within a large enterprise.
• Experience in freight, transport management, or logistics management.
• Understanding of supply chain digital platforms.

Responsibilities

• Lead the design and development of digital algorithms for supply chain.
• Ensure integration of digital capabilities with IT infrastructure.
• Act as liaison between data science and IT departments.

Skills

Data Analysis

AI/ML Expertise

Problem Solving

Collaboration

Education

Undergraduate degree in Engineering or Business

Data Science / ML certification

Tools

Python

R

SQL

Job description

Self-Healing Decision Architect

Macclesfield, UK

The Decision Architect is tasked with spearheading d igital 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 d igital solutions meet the needs of stakeholders.

This role has a global focus, addressing the d igital 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 d ata -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 d igital 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 d igital or technology strategy within a large enterprise. Proficiency in d igital 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.

• Enginering, 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.