Marketing Science Ops: Associate Director — AI/ML Analytics Leader

Amgen Inc.; Thousand Oaks (CA); Hybrid; USD 177,000 - 239,000; Full time

Benefits offered by this job

Flexible work model

Job summary

Amgen Inc. is seeking a US-based Marketing Science Operations, Associate Director, to lead BI and data engineering delivery within Marketing Science.

The role oversees a distributed global team, aligns priorities, and drives high-quality, scalable analytics with governance and standards. It requires strong business acumen, cross-functional leadership, and a focus on automation and innovative data capabilities.

Qualifications

• Doctorate or equivalent with 3+ years in data science, analytics, marketing ops, or related field.
• Master’s degree with 5+ years in data science, analytics, or marketing ops.
• Bachelor’s degree with 7+ years in data science, analytics, or marketing ops.
• Associate’s degree with 12 years in data science, analytics, or marketing ops.
• High school diploma with 14 years in data science, analytics, or marketing ops.

Responsibilities

• Frame KPIs and align metrics across analytics initiatives; translate priorities into analytical roadmaps.
• Own portfolio prioritization and demand intake across BI and Data Engineering workstreams.
• Lead Tableau team and governance for dashboards; drive self-service enablement and performance optimization.
• Coordinate delivery across global teams and offshore partners; ensure clarity of roles and status reporting.
• Define KPI standards and drive automation and standardization across MSO workflows.

Skills

Data science

Analytics

Marketing operations

Cross-functional leadership

Executive communication

Education

Doctorate degree

Master’s degree

Bachelor’s degree

Associate’s degree

High school diploma

Tools

Tableau

Data engineering

BI tools

SQL

Job description

Amgen Inc. is seeking a US-based Marketing Science Operations, Associate Director, to lead BI and data engineering delivery within Marketing Science.

The role oversees a distributed global team, aligns priorities, and drives high-quality, scalable analytics with governance and standards. It requires strong business acumen, cross-functional leadership, and a focus on automation and innovative data capabilities.