Accountabilities
- Lead design, development, testing, deployment, and operations for data, analytics, and AI products supporting the US Oncology Business Unit.
- Maintain deep working knowledge of US commercial datasets (Sales, Patient, Digital, etc.), their data lineage, business rules, important 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.
- Collaborate with Global Capability, Business Engagement, Delivery, and Platform teams to drive the best customer experience and outcomes.
- Ensure products and solutions adhere to best practices and AZ architecture standards and strategy.
- Implement processes, tools, and automations to ensure developer productivity and quality.
- Provide technical expertise to peers and 3rd party development suppliers to ensure consistency with AZ IT and Commercial IT standards and processes.
- Work with platform delivery resources to validate business and functional requirements as part of product development responsibilities.
- Evaluate new technologies/application features and make recommendations for technology and business strategic roadmaps.
- Demonstrate expert understanding of AstraZeneca s application development processes for data products.
- Mentor junior staff members through technical training sessions and project output reviews.
- Establish partnerships with 3rd party suppliers for staff augmentation and project capacity, providing 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 Leads 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 feedback on proposed changes to enhance IT effectiveness.
Essential Skills/Experience
- Bachelor s degree or equivalent in Computer Engineering, Computer Science, or a related field
- 10+ years of experience in data/software engineering roles
- 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 platforms 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 managing and coaching/mentoring junior engineers
- Proven experience developing and managing relationships with 3rd party suppliers
- Strong written and verbal communication 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 working within a quality and compliance environment and application of policies, procedures, and guidelines
