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Senior Manager Marketing Science Ops

Job in Fresno, Fresno County, California, 93650, USA
Listing for: Amgen
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Business Systems/ Tech Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Marketing Science Operations (MSO), Senior Manager – US

Amgen’s Data Science organization seeks a US-based Senior Manager to serve as the US business‑facing lead for Data Engineering delivery within Marketing Science. The role operates at the intersection of strategy, analytics, and operational execution, translating business requirements into scalable data solutions and ensuring consistent, high‑quality delivery across data pipelines, transformations, and reporting. The Senior Manager partners closely with the Associate Director and stakeholders to manage delivery, support KPI implementation, and coordinate across global DE and BI teams.

Operations

Leadership & Service Delivery
  • Lead and mentor Data Engineering Leads and global teams in Portugal and India, driving a culture of accountability, reliability, and continuous improvement.
  • Own day‑to‑day Data engineering operations, ensuring delivery aligned to KPIs, SLAs, and enterprise priorities.
  • Oversee intake, prioritization, and execution through Jira and agile workflows, ensuring transparency and predictable delivery.
Stakeholder Communications and Data Vendor Management
  • Partner with internal and external stakeholders to align priorities, set expectations, and ensure timelines are met.
  • Oversee data vendor governance, ensuring quality, timeliness, and other key performance metrics for reliable data pipelines.
  • Proactively communicate delays, risks, and unforeseen issues to maintain transparency and informed data usage.
Business & Requirements Translation
  • Partner with stakeholders to translate business needs into data and pipeline requirements.
  • Support implementation of KPI definitions within data models and pipelines.
  • Ensure alignment between business logic and data engineering outputs.
Data Engineering Delivery Management
  • Oversee end‑to‑end delivery of data pipelines, transformations, and data models.
  • Coordinate with DE teams to ensure timely, accurate, and scalable execution.
  • Track delivery progress, manage dependencies, and proactively address risks.
Data Quality & Operational Reliability
  • Ensure data validation, QA processes, and pipeline monitoring are consistently executed.
  • Support issue troubleshooting and resolution to maintain data integrity.
  • Drive adherence to SLAs, refresh schedules, and operational standards.
Process Improvement & Enablement
  • Support standardization of data models, pipeline frameworks, and documentation.
  • Contribute to automation and efficiency improvements across data workflows.
  • Enable downstream BI and analytics teams through reliable, well‑structured data assets.
Cross‑Team Coordination
  • Work closely with ACCP, AIN, and offshore teams to align on requirements and execution plans.
  • Serve as the day‑to‑day coordination point between US stakeholders and global delivery teams.
  • Escalate delivery, quality, or resourcing issues to the Director as needed.
What We Expect Of You

The professional we seek is a strategic, business‑facing analytics leader with the following qualifications.

Basic Qualifications
  • Doctorate degree and 2 years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry.
  • OR Master’s degree and 4 years of experience in the same area.
  • OR Bachelor’s degree and 6 years of experience.
  • OR Associate’s degree and 10 years of experience.
  • OR High school diploma / GED and 12 years of experience.
Preferred Qualifications
  • Bachelor’s degree or advanced degree preferred.
  • A minimum of 5+ years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry.
  • Proven experience working with media agencies, publishers and vendors on data deliverables, negotiations and performance accountability.
  • Strong understanding of media data ecosystems (ad servers, DSPs, SSPs, clean rooms) and ability to engage technical and business stakeholders.
  • Demonstrated ability to influence cross‑functional stakeholders in a complex, matrixed environment.
  • Familiarity with data privacy, compliance and risk management frameworks as they relate to digital/media data in regulated industries.
  • Strategic mindset with strong operational execution ability.
  • Experience in media data…
Position Requirements
10+ Years work experience
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