CD&A - Senior Manager Digital Business Intelligence

Role Summary

US-based Senior Manager, Digital Business Intelligence leading a globally distributed BI operations team to drive global BI delivery excellence, ensure high-quality reporting across business functions, and enforce data quality and governance to build trust in enterprise data. The role champions integration of AI technologies into Amgen’s BI ecosystem to elevate decision-making and transform BI operations into scalable, automated, innovation-forward capabilities. This position requires on-site presence 2-3 days per week at Amgen offices in Thousand Oaks, CA or Deerfield, IL.

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

• Required: Doctorate degree and 2 years of data engineering, science, or operations experience
• Required: Master’s degree and 4 years of data engineering, science, or operations experience
• Required: Bachelor’s degree and 6 years of data engineering, science, or operations experience
• Required: Associate’s degree and 10 years of data engineering, science, or operations experience
• Required: High school diploma / GED and 12 years of data engineering, science, or operations experience
• Preferred: 6+ years in business intelligence, analytics delivery, or data strategy, with global team leadership experience
• Preferred: Expertise with BI platforms (Power BI, Tableau, Looker) and data storytelling best practices
• Preferred: Expertise in designing business-friendly data models and scalable self-service analytics solutions
• Preferred: Proven ability to lead globally distributed analytics teams, ensuring high-quality, timely delivery through performance metrics, service standards, and agile collaboration
• Preferred: Experience integrating AI/ML insights into BI solutions
• Preferred: Excellent collaborator engagement and ability to translate business needs into analytics solutions
• Preferred: Demonstrated innovation in BI through emerging technologies (e.g., natural language query, generative AI, advanced visualization)

Skills

• Global team leadership and collaboration
• Expertise with BI platforms (Power BI, Tableau, Looker) and data storytelling best practices
• Designing business-friendly data models and scalable self-service analytics solutions
• Leading globally distributed analytics teams with performance metrics and agile collaboration
• Experience integrating AI/ML insights into BI solutions
• Strong collaboration and ability to translate business needs into analytics solutions
• Innovation in BI through emerging technologies (natural language query, generative AI, advanced visualization)