Director-Data Engineering

Job Title: Director- Data Engineering

GCL- F

Introduction to role:

Are you ready to lead the charge in redefining healthcare data into actionable insights? Alexion is seeking a dynamic and visionary data leader to architect and design innovative data integration solutions that drive innovation across the company. As Director of Data Engineering, you'll play a pivotal role in shaping the future of patient-centric data platforms, enabling better decision-making and delivering impactful results. Your expertise will empower multi-functional teams, support global business strategies, and contribute to the development of groundbreaking data pipelines. If you're passionate about demonstrating data to drive business innovation and have a proven track record in the Pharma/Biopharma industry, we want you on our team!

Accountabilities:

- Proactively find opportunities and threats using data platforms and integration to enhance decision-making at Alexion.
- Drive multi-functional collaboration to provide strategic advice on key business questions.
- Educate executive, business, and IT teams on the value of data management platforms.
- Collaborate with leadership and IT to support strategies that optimize Alexion's business growth.
- Work with multi-functional teams to structure problems, extract data, and develop integrated information solutions.
- Partner with authorities to advance data management and modeling for self-service business analysis.
- Provide technical leadership throughout project phases from discovery to delivery.
- Evolve data platforms, tools, and methods for continuous improvement.
- Deliver high-quality solutions and responses to ad-hoc data requests.

Essential Skills/Experience:

- A Master's Degree in Computer Science, Information Systems, Engineering, Business, or related scientific/technical field preferred.
- Minimum of 10 years of experience in data engineering, business analysis, and data management.
- Exceptional verbal and written communication skills; ability to convey analytical insights in actionable business terms.
- Highly motivated self-starter with confidence to present complex information effectively to all audiences.
- Strong analytical, logical thinking, and organizational skills; capable of managing multiple projects simultaneously.
- Ability to anticipate future business trends and integrate them into IT and business practices.
- Proven track record of effective functional and multi-functional collaboration and leadership.
- Diligent self-starter; able to work independently and in a team environment.
- Desire and ability to learn/implement new tools and analytic capabilities.
- Experience designing methods, processes, and systems for consolidating and analyzing structured/unstructured data from diverse sources.
- Experience developing advanced software applications, algorithms, querying, and automated processes for data evaluation.
- Proven ability to design complex, large-scale data solutions that are scalable, robust, secure, and resilient.
- Pharmaceutical or Life Sciences industry experience a plus.
- Experience using dbT, Fivetran, GitHub, Apache Airflow.
- Extensive hands-on experience with SQL, Python, ETL/ELT frameworks, and data orchestration pipelines.
- AWS Architecture Framework knowledge and certification.
- Expertise in Snowflake concepts like resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, data sharing, time travel, SnowSQL, SnowPipe, Streamlit, Cortex.
- Experience in data quality and observability tools/methodologies.
- Understanding of FAIR and TRUSTed data product principles.
- Knowledge of data governance frameworks/compliance standards relevant to life sciences industry (GDPR/HIPAA).
- Experience with ETL/ELT/Data Loading tools using Apache Airflow, AWS Glue with Python.
- Experience bringing to bear AI technologies for ELT processes and automating self-healing data pipelines.
- Experience working with data science operations teams using serverless architectures, Kubernetes, Docker/containerization.
- Solid understanding of analytic data architecture/data modeling concepts/principles (data lakes/warehouses/marts).
- Data warehousing methodologies/modeling techniques (Kimball/3NF/Star Schema).

Desirable Skills/Experience:

- Prior experience of 10+ years as a Data Platform or Technical Leader in biotech/pharma industry.
- Advanced experience with cloud platforms beyond AWS (Azure/Google Cloud/Databricks) for data engineering/storage solutions.

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 ambitious world.

AstraZeneca offers an environment where you can make a significant impact by connecting across the business to influence patient outcomes positively. Here you'll collaborate with leading experts using innovative techniques to drive disruptive transformation as we become a digital and data-led enterprise. Our inclusive team thrives on diversity and innovation, empowering you to expand your knowledge while delivering greater value for patients every day.

Ready to take on this exciting challenge? Apply now to join our team!