At a Glance
- Tasks: Lead AI product lifecycle management and drive user adoption across the organisation.
- Company: AstraZeneca is a pioneering pharmaceutical company transforming lives through innovative medical treatments.
- Benefits: Enjoy flexible working arrangements, opportunities for professional growth, and a vibrant team culture.
- Why this job: Be at the forefront of AI innovation, impacting patient care and driving organisational change.
- Qualifications: Bachelor’s degree in a relevant field and experience in AI product management or drug development.
- Other info: Join a diverse team committed to making a difference in healthcare and technology.
The predicted salary is between 43200 - 72000 £ per year.
At AstraZeneca, Pharmaceutical Technology and Development (PT&D) is pivotal in transforming molecules into groundbreaking medical treatments. PT&D leads the charge in developing innovative drug formulations and delivery technologies that ensure our products\’ efficacy, safety, and quality. We are seeking an AI Product Manager to be a driving force in embedding AI capabilities and culture, positioning our team at the forefront of AI transformation and innovation.
Are you ready to operate with agility, seamlessly crossing between strategic vision and detailed execution?
This role demands collaboration with partners across the organization, balancing technical expertise with strong communication and change management skills to drive user adoption and facilitate organisational transformation. Can you assess customer maturity in AI and adapt your approach to emphasise either technical leadership or interpersonal skills for successful delivery? Your mission will include AI product lifecycle management, establishing governance frameworks, adhering to regulatory standards, and overseeing strategies to build data science and AI competencies at scale. Community management is central: you\’ll run knowledge-sharing sessions, cultivate a network of champions, and spotlight emerging talent.
Accountabilities
- Lead the design and delivery of organisational AI and data science learning strategies—including formal training, workshops, hackathons, and events.
- Act as the voice of the business to prioiritise building what matters most to enable the strategic goals of PT&D.
- Be a strategic partner and advocate for AI products within and beyond the PT&D organization.
- Ensure alignment with enterprise standards and priorities through close collaboration with other AI Product Managers.
- Promote the adoption and use of AI products across business units, driving cultural and operational change in how data is used.
- Define and track key AI adoption metrics to evaluate impact and inform future initiatives.
- Develop and sustain an engaging community of practice, including regular sharing sessions, communications, and knowledge exchanges.
- Identify skills gaps, benchmark industry trends, and guide learning interventions to support professional growth and business priorities.
- Act as a thought leader and visible ambassador for the AI and data science community, championing best practice and innovation.
- Create, curate, and deliver impactful content and communications for different audiences, including executive leaders, technical specialists, and general staff.
- Promote continuous learning and development in AI technologies, fostering increased adoption and effective utilisation of AI tools across the organization.
- Drive the organization-wide adoption of the data science platform across PT&D.
- Develop and implement comprehensive migration plans to transition existing data science tools and workflows onto the centralised data science platform.
Essential Skills/Experience
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field.
- Experience working in or directly supporting CMC drug development in the pharma industry is desirable
- Expertise in designing and delivering learning experiences, training, or events for technical and non-technical audiences.
- Experience working in AI Product Management.
- Experience bringing innovation to bear on solving complex and multi-dimensional issues from an operational, technical, financial, and human perspective.
- Outstanding communication skills, with the ability to influence, inspire, and lead change at all levels.
- Extensive experience in leading or managing AI and data science capability-building programs, preferably in a large, matrixed organization.
- Deep understanding of data science, machine learning, and AI concepts; practical proficiency in at least one data science subject area desirable.
- Demonstrated success in community management and partnership development.
- Skilled in using Agile tools (e.g., Jira) and methodologies (e.g., Scrum, Kanban).
- Strategic thinking, problem-solving, attention to detail, and agility to adapt in a rapidly changing environment.
- Solid understanding of software development processes, cloud technologies, APIs, and system architectures.
- Demonstrated ability to identify relevant data sources and establish robust data pipelines.
Desirable Skills/Experience
- Proactive and able to thrive in a fast-paced, dynamic environment.
- Comfortable navigating ambiguity and managing competing priorities.
- Passionate about delivering value through technology and continuous improvement.
When we put unexpected teams in the same room, we fuel 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 daring world.
At AstraZeneca, our work directly impacts patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining innovative science with leading digital technology platforms. With a passion for impacting lives through data analytics, AI, machine learning, and more, we are at a crucial stage of becoming a digital and data-led enterprise. Join us as we build partnerships and ecosystems that drive scale and speed for exponential growth. Our dynamic environment offers countless opportunities to learn and grow while innovating with innovative technology.
Ready to make a difference? Apply now to join our team!
Date Posted
18-Aug-2025
Closing Date
25-Aug-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.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Product Management and Marketing
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Industries
Pharmaceutical Manufacturing
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AI Product Manager employer: AstraZeneca
Contact Detail:
AstraZeneca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data science, especially within the pharmaceutical industry. Understanding how these technologies are currently being applied can help you speak confidently about their potential impact during interviews.
✨Tip Number 2
Network with professionals already working in AI Product Management or related fields. Attend industry events, webinars, or workshops to connect with others and gain insights into what skills and experiences are most valued in this role.
✨Tip Number 3
Prepare to discuss your experience in community management and how you've successfully driven user adoption of new technologies. Be ready to share specific examples that demonstrate your ability to influence and inspire change.
✨Tip Number 4
Showcase your understanding of Agile methodologies and tools like Jira. Being able to articulate how you've used these in past projects will highlight your readiness for a fast-paced environment and your ability to manage competing priorities effectively.
We think you need these skills to ace AI Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI product management and any specific projects related to drug development or data science. Use keywords from the job description to align your skills with what AstraZeneca is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and its application in the pharmaceutical industry. Discuss how your background aligns with AstraZeneca's mission and how you can contribute to their goals in AI transformation.
Showcase Communication Skills: Since the role requires strong communication abilities, provide examples in your application of how you've successfully influenced and led change in previous roles. Highlight experiences where you’ve worked with diverse teams or stakeholders.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or workshops you've attended related to AI, data science, or product management. This shows your commitment to staying updated in a rapidly evolving field, which is crucial for the role.
How to prepare for a job interview at AstraZeneca
✨Understand the Role and Responsibilities
Make sure you thoroughly understand the job description and the specific responsibilities of an AI Product Manager at AstraZeneca. Familiarise yourself with their focus on AI capabilities, community management, and the importance of collaboration across teams.
✨Showcase Your Communication Skills
Since this role requires strong communication and change management skills, prepare to demonstrate how you've effectively communicated complex ideas in previous roles. Be ready to share examples of how you've influenced stakeholders or led change initiatives.
✨Prepare for Technical Questions
Brush up on your knowledge of data science, machine learning, and AI concepts. Be prepared to discuss your experience with Agile methodologies and tools like Jira, as well as your understanding of software development processes and cloud technologies.
✨Demonstrate Your Community Management Experience
Highlight any experience you have in building communities or networks, especially in a technical context. Discuss how you've facilitated knowledge-sharing sessions or training events, and how you can contribute to fostering a culture of continuous learning at AstraZeneca.