Lead Consultant - Product Data Engineer

Job Title: Lead Consultant - Product Data Engineer

Grade: E

Introduction to role

Are you ready to reinvent an industry and change lives? As a Lead Consultant - Product Data Engineer, you'll play a pivotal role in redefining our ability to develop life-changing medicines. You'll lead the design, development, testing, deployment, and operations for data, advanced analytics, and AI products supporting the US BioPharmaceutical Business Unit. This position demands technical leadership, collaboration with platform engineering teams, and interaction with IT business partners to align business strategy with technical solutions. You'll be at the forefront of innovation, guiding technical teams with the latest advancements in data engineering, analytics, and AI technology.

Accountabilities

• Lead design, development, testing, deployment, and operations for data, analytics, and AI products and solutions supporting US BioPharmaceutical Business Unit.
• Maintain deep working knowledge of US commercial datasets (Sales, Patient, Digital, etc.), their data lineage, business rules, critical metrics, usage, and operations.
• Develop and maintain an in-depth understanding of data engineering and AI capabilities, staying ahead of with the latest advancements and industry trends in these fields.
• Collaborate with Global Capability, Business Engagement, Delivery, and Platform teams to drive best customer experience and outcomes.
• Ensure products and solutions delivered adhere to protocols and AZ architecture standards and strategy.
• Ensure developer productivity and quality by implementing processes, tools, and automations.
• Provide technical expertise to peers and 3rd party development suppliers to ensure consistency in alignment to AZ IT and Commercial IT standards and processes.
• Work with platform delivery resources to ensure validation of business and functional requirements as part of product development responsibilities.
• Evaluate the applicability of new technologies/application features and make recommendations for technology and business strategic roadmaps.
• Demonstrate expert understanding of the application development processes of AstraZeneca’s implementation of the data product.
• Serve as a mentor for junior staff members by conducting technical training sessions and reviewing project outputs.
• Establish partnerships with 3rd party suppliers for staff augmentation and project capacity and provide technical guidance for projects implemented through these suppliers.
• Serve as an internal consultant for IT and business partners across regions and business areas (Commercial, Medical).
  
  

Continuous Improvement and Innovation

• Partner with Platform Success Lead(s) on continuous improvement opportunities within platform and product level backlogs.
• Identify new hardware/software technologies to fit specialized business needs and configurations.
• Identify issues with current processes and provide guidance on proposed changes to enhance effectiveness of IT.
  
  

Essential Skills/Experience

• Bachelor’s degree or equivalent in Computer Engineering, Computer Science, or a related field
• Overall 10+ years of experience in data/software engineering role
• 5+ years of experience with building AWS cloud-based data pipelines
• 5+ years of experience with Python and Spark
• 3+ years of experience with Databricks, including Spark-based processing, data pipelines, and the platform's tools for analytics and machine learning.
• Commitment to staying up-to-date with advancements in data engineering, AI, and Databricks features.
• Experience in Continuous Integration and Deployment methods delivered as part of an agile team.
• Ability to interpret and communicate technical information in business-friendly language.
• Strong communication and interpersonal skills
• Proven experience of managing and coaching/mentoring junior engineers
• Proven experience of developing and managing relationships with 3rd party suppliers
• Strong written and verbal communications skills
• Experience working in a global organization with a complex geographical structure.
  
  

Desirable Skills/Experience

• Databricks certification
• Knowledge of machine learning concepts, including model training, evaluation, deployment, and monitoring within Databricks MLflow or other MLOps platforms.
• Prior experience working in Pharmaceutical or Healthcare industry IT environment.
• Experience with IQVIA Claims, National and subnational sales data
• Experience working within a DevOps delivery model.
• Experience of working within a quality and compliance environment and application of policies, procedures, and guidelines
  
  

When we put unexpected teams in the same room, we ignite 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, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining modern science with leading digital technology platforms. With a passion for impacting lives through data, analytics, AI, machine learning, and more, we are committed to driving cross-company change to disrupt the entire industry. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise.

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

Date Posted

17-Sept-2025

Closing Date

25-Sept-2025

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.