Job Title: Senior Manager - Data Analytics & AI

Career Level - E

Introduction to role:
Join our Commercial IT Data Analytics & AI (DAAI) team as a Product Quality Leader, where you will play a pivotal role in ensuring the quality and stability of our data platforms built on AWS services, Databricks, and Snaplogic. Based in Chennai GITC, you will drive the quality engineering strategy, lead a team of quality engineers, and contribute to the overall success of our data platform.

Accountabilities:
As the Product Quality Team Leader for data platforms, your key accountabilities will include leadership and mentorship, quality engineering standards, collaboration, technical expertise, and innovation and process improvement. You will lead the design, development, and maintenance of scalable and secure data infrastructure and tools to support the data analytics and data science teams. You will also develop and implement data and data engineering quality assurance strategies and plans tailored to data product build and operations.

Essential Skills/Experience:
- Bachelor’s degree or equivalent in Computer Engineering, Computer Science, or a related field
- Proven experience in a product quality engineering or similar role, with at least 3 years of experience in managing and leading a team.
- Experience of working within a quality and compliance environment and application of policies, procedures, and guidelines
- A broad understanding of cloud architecture (preferably in AWS)
- Strong experience in Databricks, Pyspark and the AWS suite of applications (like S3, Redshift, Lambda, Glue, EMR).
- Proficiency in programming languages such as Python
- Experienced in Agile Development techniques and Methodologies.
- Solid understanding of data modelling, ETL processes and data warehousing concepts
- Excellent communication and leadership skills, with the ability to collaborate effectively with the technical and non-technical stakeholders.

- Experience with big data technologies such as Hadoop or Spark
- Certification in AWS or Databricks.
- Prior significant experience working in Pharmaceutical or Healthcare industry IT environment.

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 committed to disrupting an industry and changing lives. Our work has a direct impact on patients, transforming our ability to develop life-changing medicines. We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data. We dare to lead, applying our problem-solving mindset to identify and tackle opportunities across the whole enterprise. Our spirit of experimentation is lived every day through our events like hackathons. We enable AstraZeneca to perform at its peak by delivering world-class technology and data solutions.

Are you ready to be part of a team that has the backing to innovate, disrupt an industry and change lives? Apply now to join us on this exciting journey!

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.