Job Title - SAP Analytics and AI Governance Delivery Director
Career Level - F
We are one purpose-led global organisation. The enablers and innovators, ensuring that we can fulfil our mission to push the boundaries of science and discover and develop life-changing medicines. We take pride in working close to the cause, opening the locks to save lives, ultimately making a massive difference to the outside world.
AstraZeneca (AZ) is in a period of strong growth and our employees have a united purpose to make a difference to patients around the world who need both our medicines and the ongoing developments from our science. In this journey AZ must continue to work across borders and with partners and new colleagues in a fast and seamless way. The ambition, size and complexity of the organisation, coupled with the opportunities afforded by new technology, has led the Board to approve a large-scale transformation programme – Axial.
The Axial Programme will be powered by S/4HANA a new ERP (Enterprise Resource Planning) system which will be implemented right across the organisation and will provide our business with standardised processes, enhanced financial management, common data and real time reporting, transforming the way we work through our entire supply chain - from bench to patient.
The new system will be used by more than 20,000 employees daily, is foundational to all AZ entities and is central to most core business processes. This is a once in a generation programme for AstraZeneca and will shape our ways of working globally for many years to come.
The Axial programme needs the best talent to work in it. Whether it’s the technical skills, business understanding or change leadership, we want to ensure we have the strongest team deployed throughout. We are aiming to deliver a world class change programme that leaves all employees with a fuller understanding of their role in the end-to-end nature of our global company. This programme will provide AZ with a competitive edge, to the benefit of our employees, customers and patients.
Drive the future of data and AI at AstraZeneca as the SAP Analytics and AI Governance Lead. Shape a cutting-edge governance framework, ensure compliance, and automate processes to uphold analytics quality and integrity. Collaborate with experts, manage AI risks, and align innovation with business goals in a dynamic, transformative environment.
We are looking for a governance professional to set and deliver the vision for analytics and AI governance on AstraZeneca’s new SAP stack. Our ambition is significant and cannot succeed without digitising and automating our governance.
As the SAP Analytics and AI Governance Lead, you will develop and implement a comprehensive governance framework to ensure responsible use of data and AI technologies across the SAP transformation program. Supported by Data Offices, Privacy Offices and Security Teams, you will lead efforts to define and enforce policies for analytics and AI/ML applications, maintain analytics quality and integrity, and oversee the lifecycle of reporting frameworks and dashboards using tools like Datasphere, SAP Analytics Cloud and Collibra. The role involves ensuring compliance with regulatory and industry standards, managing risks associated with AI/ML deployment, and collaborating with cross-functional teams to ensure transparency, fairness, and accountability in all analytics and AI processes. Additionally, you will work with program stakeholders to align governance practices with business objectives, monitor AI/ML models for performance and bias, and drive continuous improvement by staying abreast of emerging trends in analytics, AI, and SAP technologies.
Essential skills, knowledge and experience:
Knowledge of one or more of: analytics governance, AI/ML governance, data governance,
Experience digitising and automating processes for one or more of the following: analytics governance, AI/ML governance, data governance,
Stakeholder engagement skills,
Process design and documentation.
Desirable skills, knowledge and experience:
Team leadership and building teams,
Managing outsourced service providers,
Familiarity with regulatory frameworks (GxP, GPDR, SOX),
Knowledge of SAP ecosystems, including SAP S/4HANA, SAP Analytics Cloud, SAP Datasphere and Collibra,
Knowledge of AI technologies, machine learning frameworks, and their practical applications,
Process digitisation and automation,
Experience in pharmaceutical, healthcare, or manufacturing industries,
Knowledge of Agile or hybrid project delivery methodologies.
Why AstraZeneca?
At Astrazeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.
So, what’s next?
Are you already imaging yourself joining our team? Good, because we can’t wait to hear from you.
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and hope its yours
If you’re curious to know more then we welcome your application no later than
Where can I find out more?
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
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.