Lead Consultant - Technical Lead - Data, Analytics & AI

Career Level: E

Introduction to role: Are you ready to redefine an industry and change lives? Join our Operations IT organization, where your work will have a direct impact on patients by redefining our ability to develop life-changing medicines. We empower the business to perform at its peak, combining innovative science with leading digital technology platforms and data. As part of the Data Analytics and AI (DA&AI) group, you'll deliver innovative solutions that drive the transformation of medicine development. As the Technical Lead, you'll oversee the technical delivery of products and projects aligned with business objectives, tapping into your expertise in Data and Cloud Engineering, Software Engineering, AI, and more. Collaborate with stakeholders to ensure seamless delivery and maximum business impact!

Accountabilities:

• Bridge business needs with technical solutions by leading IT application design and implementation.
• Collaborate with stakeholders to define and deliver requirements, translating them into detailed specifications.
• Own the technical vision of products and compile detailed technical designs, refining user Epics/stories.
• Optimize performance, mitigate risks, and ensure alignment to timelines and resource allocations.
• Advise on industry trends and standard methodologies to enhance performance and business outcomes.
• Provide technical direction and guidance to IT teams and business units.
• Contribute to Data & Software Engineering standards and best practices.
• Research new technologies to boost system performance and scalability.
• Lead and mentor technical teams (Data Engineering, Cloud Engineering, Software Engineering) and work with AI/GenAI leads to foster collaboration and innovation.
• Ensure platform stability, scalability, and simplicity while adhering to regulatory requirements and data security standards.
• Foster continuous improvement and innovation.
• Supervise technical leadership throughout the software development lifecycle and provide hands-on support in development, technical delivery, review, and testing while collaborating with global teams.
• Apply central Enterprise Data Platforms and guide DevOps, DataOps, and MLOps teams to ensure standard methodologies.
• Ensure data solutions align with FAIR principles and support end-to-end data science and machine learning.

Essential Skills/Experience:

• Minimum 10 years of experience in the design, development, and delivery of software and data engineering solutions.
• Extensive technical expertise in Data Engineering, Software Engineering, and Cloud Engineering.
• Strong foundational knowledge of AI Engineering principles and practices.
• Deep understanding of DevOps, MLOps, and DataOps methodologies with practical implementation experience.
• Demonstrated success in product development and/or product management, delivering complex solutions end-to-end.
• Demonstrable ability to provide technical thought leadership across Data, Analytics, and AI domains.
• Exceptional communication, customer management, and multi-functional collaboration skills.
• Robust analytical and problem-solving abilities with a collaborative, team-oriented approach.
• Hands-on experience driving innovation throughout the full product development lifecycle.
• Solid understanding of Data Mesh and Data Product concepts and architectures.
• Proficiency in Agile methodologies and facilitating iterative, multi-functional team delivery.
• Hands-on experience designing, implementing, and optimizing data pipelines using leading ETL tools.
• Skilled in architecting, deploying, and managing scalable, secure AWS cloud environments.
• Proficient in workflow orchestration tools such as Apache Airflow.
• Practical experience implementing DataOps practices with tools like DataOps.Live.
• Strong expertise in data storage and analytics platforms such as Snowflake.
• Ability to deliver actionable insights through business intelligence tools, including Power BI.
• Extensive full-stack development experience, including backend proficiency with Node.js and Python and frontend expertise with ReactJS or NextJS.
• Experience designing and deploying Generative AI solutions.
• Hands-on implementation of AI/ML models using platforms such as Amazon SageMaker.
• Advanced programming skills, especially in Python.
• Solid knowledge of both SQL and NoSQL database technologies.
• Familiarity with agile ways of working and iterative development environments.
• Experience working in large, multinational organizations or pharmaceutical environments is highly desirable.
• Demonstrated leadership and mentoring skills, with a demonstrable ability to develop high-performing technical teams.

Desirable Skills/Experience:

• Bachelor's or master's degree in health sciences, Life Sciences, Data Management, IT, or a related field.
• Experience in the pharmaceutical industry or a similar multinational environment.
• AWS Cloud or relevant data/software engineering certifications.
• Awareness of use case specific GenAI tools available in the market and their application in day-to-day work scenarios.
• Possess working knowledge of basic prompting techniques and continuously improve these skills.
• Stay up to date with developments in AI and GenAI, applying new insights to work-related situations.

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 at a crucial stage of our journey to become a digital and data-led enterprise. Our commitment to innovation empowers us to make the impossible possible by building partnerships and ecosystems that drive scale and speed for exponential growth. With investment backing us all the way, we are focused on disrupting the industry while making a meaningful impact through our work. Here you'll find countless opportunities to learn, grow, and contribute to developing life-changing medicines.

Ready to make a difference? Apply now to join our team!

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.