Amgen Data Science department is seeking an Associate Director of Data Science to lead its globally distributed Business Intelligence (BI) operations team. This role is responsible for driving global BI delivery excellence, data quality rigor, and the integration of advanced analytics and AI technologies into our reporting ecosystem. The goal is to transform BI operations into a scalable, automated, and innovation-forward capability that supports decision-making across functions.
Requirements
- Extensive experience with SQL, Python and similar programming languages
- Understanding of best practices in data management, architecture and creating efficient data pipelines
- Proficiency with BI platforms (Power BI, Tableau, Looker) and cloud-native data ecosystems (Snowflake, Databricks, Azure).
- Experience implementing DevOps practices for BI: version control, CI/CD, monitoring, automation.
- Exposure to AI/ML integration into BI solutions or operationalizing AI outputs.
Responsibilities
- Oversee the design, development, and maintenance of scalable and secure BI solutions across multiple business domains.
- Implement modern development operations, including version control, automated testing, CI/CD pipelines, and monitoring for BI assets.
- Collaborate with teams to embed machine learning and AI-generated insights into dashboards and reporting workflows.
- Champion the adoption of emerging technologies (e.g., generative AI, LLMs, vector databases, natural language querying) to improve data access, storytelling, and user experience.
- Stay current with innovation trends in analytics and integrate applicable tools and frameworks into the BI ecosystem.
- Translate BI priorities and business goals into actionable, agile delivery plans for execution by offshore teams.
- Collaborate with Architecture, Platform Engineering, and Governance functions to ensure compliance, scalability, and technical alignment.
Other
- Lead and mentor BI Engineering Leads and their teams based in Portugal and India, fostering a culture of engineering excellence, accountability, and inclusion.
- Drive team performance using well-defined KPIs, SLAs, and delivery standards aligned to enterprise goals.
- Ensure seamless collaboration between global engineering teams and US-based business stakeholders.
- Champion a product-oriented delivery model and agile methodology across offshore BI teams.
- Promote self-service BI through the development of governed, business-friendly data models and semantic layers.
