CD&A - Senior Manager Digital Business Intelligence
Amgen
Full-time
Remote friendly (Thousand Oaks, CA)
United States
IT
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Role Summary
CD&A - Senior Manager Digital Business Intelligence
Responsibilities
- Driving global BI delivery excellence and ensuring consistent, high-quality reporting across business functions
- Establishing and enforcing data quality rigor and governance standards to build trust in enterprise data
- Leading the integration of advanced analytics and AI technologies into Amgen’s BI ecosystem to elevate decision-making
- Transforming BI operations into a scalable, automated, and innovation-forward capability that supports decision-making across functions
- Championing adoption of AI-assisted analytics, automated data pipelines, and new technologies to elevate analytical maturity
- Lead and mentor BI Analysts and BI Leads across global teams, encouraging collaboration, accountability, and continuous learning
- Lead team performance by defining and tracking KPIs, SLAs, and delivery commitments aligned to business priorities
- Partner with US and global collaborators to ensure analytics solutions address key needs and deliver actionable insights
- Oversee design, development, and delivery of scalable BI reports, dashboards, and self-service solutions
- Drive adoption of standard processes in data visualization, data storytelling, and semantic modeling
- Collaborate with Data Engineering, Platform, and Governance teams to ensure data quality, security, and compliance
- Translate business priorities into actionable BI roadmaps and ensure execution across offshore and onshore teams
- Introduce process improvements, tools, and methodologies that enhance team efficiency and business impact
- Support integration of advanced analytics, AI, and ML insights into BI reporting
- Stay informed about BI and analytics trends and champion innovative, valuable approaches
- Promote an agile, product-oriented mindset within BI delivery teams
Qualifications
- Basic Qualifications:
- Doctorate degree and 2 years of data engineering, science, or operations experience
- OR Master’s degree and 4 years of data engineering, science, or operations experience
- OR Bachelor’s degree and 6 years of data engineering, science, or operations experience
- OR Associate’s degree and 10 years of data engineering, science, or operations experience
- OR High school diploma / GED and 12 years of data engineering, science, or operations experience
- Preferred Qualifications:
- 6+ years in business intelligence, analytics delivery, or data strategy, with global team leadership experience
- Expertise with BI platforms (Power BI, Tableau, Looker) and data storytelling best practices
- Expertise in designing business-friendly data models and scalable self-service analytics solutions
- Proven ability to lead globally distributed analytics teams, ensuring high-quality, timely delivery through performance metrics, service standards, and agile collaboration
- Experience integrating AI/ML insights into BI solutions
- Excellent collaborator engagement and ability to translate business needs into analytics solutions
- Demonstrated innovation in BI through emerging technologies (e.g., natural language query, generative AI, advanced visualization)
Skills
- BI platforms: Power BI, Tableau, Looker
- Data modeling and semantic modeling
- Data governance, data quality, and security
- AI/ML integration into BI
- Strong collaboration and stakeholder engagement
- Agile project and product management