Job Description
Amgen’s Data Science organization is seeking a US-based Marketing Science Operations (MSO), Senior Manager (SM) to serve as the US business‑facing lead for Data Engineering delivery within Marketing Science.
Responsibilities
- Translate business requirements into scalable data solutions and ensure consistent, high‑quality execution across data pipelines, transformations, and reporting enablement.
- Partner with the Associate Director and stakeholders to manage delivery, support KPI implementation, and coordinate across global Data Engineering (DE) and Business Intelligence (BI) teams.
- Drive day‑to‑day execution, ensuring data reliability and enabling downstream analytics through strong delivery discipline and cross‑team collaboration.
- Lead and mentor Data Engineering Leads and global teams (Portugal and India), fostering a culture of accountability, reliability, and continuous improvement.
- Own day‑to‑day data engineering operations, ensuring consistent, high‑quality delivery aligned to KPIs, SLAs, and enterprise priorities.
- Oversee intake, prioritization, and execution through Jira and agile workflows, ensuring transparency and predictable delivery.
- Partner with internal and external stakeholders to align on priorities, set clear expectations, and ensure timelines are well understood and adhered to.
- Oversee data vendor governance, ensuring accountability for quality, timeliness, and other key performance metrics to maintain reliable data pipelines.
- Proactively communicate delays, risks, and unforeseen issues to stakeholders to ensure transparency and informed data usage.
- Support implementation of KPI definitions within data models and pipelines.
- Ensure alignment between business logic and data engineering outputs.
- 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.
- 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.
- 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.
- 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.
Basic Qualifications
- Doctorate degree and 2 years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry.
- Master’s degree and 4 years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry.
- Bachelor’s degree and 6 years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry.
- Associate’s degree and 10 years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry.
- High school diploma / GED and 12 years of experience in data acquisition, digital media, data governance or analytics, ideally within a regulated industry.
Preferred Qualifications
- Bachelor’s degree or advanced degree preferred.
- 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 acquisition.
- Excellent communication and stakeholder‑management skills, able to translate data/technical issues into business‑focused insights.
- Strong project leadership, prioritization and problem‑solving skills.
- Highly accountable and results‑oriented, with a collaborative and inclusive mindset.
Compensation
Salary Range: $137,144.95 – $185,549.05 (USD)
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