Global Data Quality Assurance Lead

GCL : E

Are you ready to lead a team that ensures data integrity and drives impactful decisions? As the Data Quality Assurance Team Lead, you will spearhead the development and execution of data quality assurance activities, safeguarding our data assets while improving their value. This role involves leading a dynamic team within Global Operations, where you will split your time between providing strategic direction and hands-on involvement in data profiling and quality assurance tasks. Collaborate closely with data governance managers to align policies with regulatory requirements and enterprise strategies, ensuring our data is reliable and secure.

• Data Governance Strategy and Operations: Develop and lead the Data Quality Assurance Framework, contributing to the Global Data Governance strategy.
• Apply deep subject matter expertise to solve complex business issues and influence senior stake-holders.
• Drive adoption of data quality tools and process simplification using AI.
• Use AI to improve Data Quality/Data governance workflow
• Manage Data Quality Assurance forums and cross-functional forums.
• Define and report on performance of data governance processes, standards, quality, and compliance.
• Data Policy, Compliance, and Risk Management: Design and implement data policies balancing benefit and risk.
• Find opportunities for innovation and improvements.
• Provide expertise to achieve compliance with data policies and mitigate risks.
• Implement compliance checks to ensure adherence to policy.
• Data Standards and Quality Management: Lead development of Data Quality strategy and execution across functions.
• Develop Data Quality metrics and guidelines, ensuring continuous reporting and multi-functional adoption.
• Leadership, Improvement, and Change: Contribute to defining mission, vision, strategy, goals, roadmap, and metrics for the function.
• Lead change initiatives for data literacy, culture, and compliance.

• Bachelor’s degree in business administration, Information/Data Science, Informatics, computer science, economics or related subject area – or equivalent number of years of experience.
• Significant experience and deep domain expertise within a data quality assurance.
• Demonstrated experience of data quality assurance, data profiling and advanced data analysis and collaboration with data governance managers (or equivalent).
• Demonstrated experience of successful implementation of simplified and improved ways of working.
• Demonstrated ability to lead in a diverse, distributed team, within and across functions. Experience with global working and across cultures.
• Experience of Business/IT partnering for the implementation of Data quality measures.
• Demonstrate good communication skills with the ability to influence others to achieve objectives.
• Hands on technical experience in Data Quality/ Data Governance
• Preferred experience from Global Operations or working in pharmaceutical manufacturing w. supporting functions.
• Proficient knowledge and experience with regulated and/or legal environment and requirements (e.g., GxP, data privacy and security).
• Proven change management, interpersonal, assertiveness and negotiation skills.
• AI enabled Data Quality tooling.
• Snowflake
• AWS
• Power BI/Visualization tools.
• Data Profiling and data analysis.
• Data Wrangling

• Masters or Ph.D in Business Administration, Information/Data Science, Informatics, computer science, economics or related field, or equivalent experience. Applicable domain knowledge, e.g. Therapy Area or Function.
• Experience in life sciences and healthcare.
• Experience working across the drug research and development lifecycle.
• Intimate knowledge of relevant key business processes.
• Network of relevant contacts and relationships, including external links.
• Data Governance and Data Management education and certifications.
• Applied data management and data science skills, including experience with related tools.
• Experience in data ownership or stewardship.
• Proven track record of publishing relevant data governance and policy topics in peer-reviewed journals, conferences, and other scientific proceedings.
• SAP knowledge

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, you'll be part of a team dedicated to making a meaningful impact on people's lives through life-changing medicines. Our commitment spans from science labs to large-scale manufacturing, ensuring high-quality delivery throughout the product lifecycle. With a focus on innovation and collaboration, we strive to improve lives globally—from patients to society as a whole.

Ready to take on this exciting challenge? 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.