ENTERPRISE AI AWS PRODUCT & TECHNOLOGY LEAD

Introduction to role   Are you ready to lead the charge in transforming healthcare through AI? At AstraZeneca, we are on a mission to harness the power of AI across every step of our value chain, from discovering new compounds to ensuring patient safety.
As the Head of Enterprise AI Platforms, you will be at the forefront of this exciting journey, driving the development and deployment of pioneering AI solutions within our global biopharmaceutical business.
Join us in our quest to revolutionize healthcare and make a meaningful impact on patients' lives worldwide!   Accountabilities   As the Enterprise AI AWS Product & Technology Lead, you will lead a team of AI engineers and collaborate with various partners to build a robust, secure, and cost-effective AI/machine learning environment.
You will drive the development, optimization, and successful deployment of our enterprise AI solutions.
The ideal candidate will serve as the primary bridge between business stakeholders, data scientists, engineering teams, and end users.
You will champion the strategic roadmap for our AI platforms, ensuring alignment with business goals, regulatory standards, and the highest standards of user experience.
Essential Skills/Experience   Bachelor’s or Master’s degree in Computer Science, Engineering, Data S cience or a related field.
Proven product owner or product management experience working with data science, machine learning, or AI platforms in an enterprise context.
Solid understanding of the AI/ML lifecycle, modern data architectures, MLOps, and related tools/frameworks.
Demonstrated ability to collaborate and communicate effectively with both technical and non-technical stakeholders.
Strong analytical skills with experience in defining and tracking product metrics.
Experience working in Agile/Scrum environments, using tools such as Jira, Azure DevOps, or similar systems.
Experience in AWS Cloud   Experience leading an enterprise platform and service, handling new customer demand and feature requests.
Experience in leading a team of technical experts   Experience with SAFe agile principles and practices.
Experience working with internal security standards and framework s   Proven knowledge of building data science and machine learning environments to a production standard.
Modern DevOps mentality, using best of breed DevOps toolchains, such as Docker, Git.
Desirable Skills/Experience   Experience bringing scalable AI/ML solutions to production in regulated industries (such as pharma, healthcare, or finance).
Experience in implementing & maintaining GxP compliant life science systems will be looked upon very favorably.
Multi cloud experience (AWS/Azure/GCP), APIs, and integration strategies.
Experience with infrastructure as code technology Terraform     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, we are driven by a shared purpose to make a difference in patients' lives through innovation and collaboration.
Our dynamic environment encourages continuous learning and growth as we explore new technologies and challenge conventional approaches.
By partnering across functions and leveraging our data capabilities, we empower our teams to achieve remarkable outcomes.
Join us as we shape the future of healthcare and contribute to AstraZeneca's mission of delivering life-changing medicines.
Ready to take on this exciting challenge? Apply now to become part of our transformative journey!   Date Posted 14-jul- Closing Date 17-jul- 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.