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Job Title: Lead Consultant - Data Engineering Career Level - E Introduction to role Join our Operations IT team, a global IT capability supporting the Global Operations organization. We partner with various Operations capability areas such as Pharmaceutical Technology Development, Manufacturing & Global Engineering, Quality Control, Sustainability, Supply Chain, Logistics & Global External Sourcing & Procurement. Our work directly impacts patients by redefining our ability to develop life-changing medicines. We are passionate about impacting lives through data, analytics, AI, machine learning, and more. As part of the Data Analytics and AI (DA&AI) organization within Operations IT, you will deliver brand-new Data Analytics and AI solutions for various Operations capability areas. Our work transforms our ability to develop life-changing medicines, empowering the business to perform at its peak. We combine powerful science with leading digital technology platforms and data. As the Technical Lead, you will drive the successful technical delivery of products/projects aligned with business goals. You will use deep technical expertise, lead and coordinate across all technical workstreams (Data & Cloud Engineering, Software Engineering, AI, and other relevant tech stacks), and work closely with relevant team members both internally and externally. Accountabilities Work closely with product managers, architects, and delivery managers to provide technical knowledge and support the team. Own the technical vision of the product and collaborate with multi-functional teams to define designs that meet product objectives and success criteria. Compile and maintain detailed technical designs, refine user Epics/user stories, and ensure adherence to timelines and resource allocations. Identify technical risks and ensure visibility and progress toward mitigating these risks. Lead, direct, and mentor technical teams while fostering a culture of collaboration, innovation, and accountability. Define and communicate governance frameworks specific to product development. Deliver components of the Service Acceptance Criteria as part of the Service Introduction deliverables. Ensure alignment to regulatory requirements, data security, and industry standards throughout the development lifecycle. Lead DevOps and DataOps teams to ensure delivery to coding standard processes, security, and performance requirements. Ensure data pipelines and solutions carry out to the FAIR principles to enhance data usability and sharing. Essential Skills/Experience Minimum 10+ years of experience in developing and delivering software engineering and data engineering solutions Deep technical expertise in Data Engineering, Software Engineering, Cloud Engineering, and good understanding in AI Engineering Strong understanding of DevOps and DataOps ways of working Proven expertise in product development and/or product management Offer technical thought leadership for Data and Analytics and AI products Effective communication, partner management, problem-solving skills, and team collaboration Hands-on experience working in end-to-end product development with an innovation mindset Knowledge of Data Mesh and Data Product concepts Experienced in Agile WoW Collaborative approach to engineering Data Engineering & ETL: Design, implement, and optimize data pipelines using industry-leading ETL tools Cloud & DevOps: Architect and handle scalable, secure cloud environments using AWS Compute Services Scheduling & Orchestration: Lead the orchestration of sophisticated workflows with Apache Airflow DataOps & Automation: Champion the adoption of DataOps principles using tools like DataOps.Live Data Storage & Management: Oversee the design and management of data storage systems including Snowflake Business Intelligence & Reporting: Own the development of actionable insights using Power BI Full-Stack Software Development: Build and maintain end-to-end software applications using NodeJS for backend development AI & Generative AI Services: Implement and handle AI/ML models using Amazon SageMaker Proficient in multiple coding languages such as Python Knowledge of database technologies both SQL and NoSQL Familiarity with agile methodologies Previous involvement in a large multinational company or pharmaceutical environment Strong leadership and mentoring skills Desirable Skills/Experience Bachelor's or master's degree in a relevant field such as Health Sciences, Life Sciences, Data Management, Information Technology or equivalent experience. Experience working in the pharmaceuticals industry Certification in AWS Cloud or any data engineering or software engineering-related certification 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 daring world. At AstraZeneca, we are committed to making a difference beyond patients by pioneering our sustainability strategy. You will have the opportunity to be a key contributor to Zero Carbon by 2025 and carbon negative across the entire value chain by 2030. Everyone can chip in towards our collective legacy of doing good for people, the environment, and society. 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