Lead Consultant

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