You will be responsible for:

• Data Capability Lead will be responsible for supporting IT and business-driven activities which will include the following:
• Understand business, conceptualize analysis framework, define Data & AI requirements, and coordinate implementation with IT business partners, business stakeholders, and external partners for delivering enhanced digital experience to stakeholders
• Responsible to drive initiatives in Data Management, deploy Data & AI enablement practices for master, reference and metadata and execute key strategies in building taxonomy/ ontologies and FAIR data products using multi-modal datasets
• Responsible to deliver data engineering services, ingesting data in the Alexion Data Platform, creating data hubs to integrate and distribute data in the form of products, and supporting integration to digital applications to generate insights through AI/ML
• Drive operationalization and adoption of data products and AI/ML solutions in generating insights supporting Alexion functions
• Provide consultancy advice, as a trusted partner, to both the global and regional stakeholders within the business and other technology teams from strategic partners / vendors for on-going and new implementation projects and ensure they are aligned with organization goals

You will need to have:

• Strong technical delivery management experience in Data Engineering, Data Foundation and Observability and AI/ML across functions and geographies
• In-depth working knowledge of data domain modelling and expertise in designing taxonomy and ontology, that facilitate the management of key master/reference data products like Material, Product and their associated hierarchies
• Organize data at the macro level using conceptual/logical data models as a standard for the trusted source and for consuming applications to inherit, with the ability to extend the data model to bridge internal Alexion and AstraZeneca systems and data
• Ability to successfully lead a team of Business Analysts, Data Engineers and Analytics and AI Developers through all phases of the development life cycles, including concept definition, product design, development, implementation, and testing
• At least 8 years of experience in leading, designing, and developing data lake and data integration architectures, using FAIR data set and prior experience in managing end-to-end engagements in BI using Qlik Sense or PowerBI, and Data Science languages like R and Python; should possess knowledge of Cloud platforms like AWS, modern data storage layer like Snowflake, dbt, FiveTran and cloud data management applications like Immuta, Collibra and Reltio/ Veeva Network
• Knowledge of Privacy and healthcare interoperability standards like GDPR, HIPAA and HL7, FHIR
• Familiarity with Git, Data-Ops, and Continuous Integration /Continuous Deployment pipelines and experience in Agile project execution
• Bachelor’s degree in a technical field of study (Computer Science/Engineering preferred) and have excellent communication, analytical and logical thinking skills, detail-oriented with an ability to take a macro view
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