HOW MIGHT YOU DEFY IMAGINATION?
If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do.
Live | What you will do
-
Set BI & Data Engineering Strategy and Direction
- Define and own the integrated BI and Data Engineering strategy for MSO, ensuring alignment between data ingestion, transformation, and dashboard consumption.
-
Establish long‑term roadmaps for MSO’s data backbone and BI products, balancing scale, reliability, flexibility, and speed.
-
Act as the senior authority on data‑to‑decision enablement, ensuring outputs are not only technically correct but business‑relevant and decision‑ready.
-
Lead BI Delivery, Design, and Business Translation
- Oversee BI delivery across MSO (e.g., ELL, Media Goals, HCP/DTC Trackers, Web and Competitive Intelligence dashboards).
-
Ensure mockup‑driven design practices are embedded, translating business questions into structured dashboard designs and build‑ready specifications.
-
Guide teams in strengthening business logic understanding, KPI interpretation, and narrative framing behind dashboards.
-
Lead and/or sponsor executive‑ and brand‑level dashboard readouts, ensuring insights are clearly communicated and actionable.
-
Own Data Engineering Excellence & Platform Reliability
- Provide senior oversight of MSO’s data engineering foundation, including ingestion (file‑based and API‑driven), transformation, DQM, and BI‑ready aggregation layers.
-
Establish and enforce data engineering best practices (scalable pipeline patterns, testing, observability, recovery, and documentation).
-
Ensure operational excellence across Databricks/S3 pipelines powering BI, web analytics, and 3rd‑party competitive datasets.
-
Ensure quality control and release readiness
-
Own operational health of MSO ingestion and processing—logging, monitoring, DQM validation, publish/stitch status tracking, and automated notifications when feeds or taxonomy inputs fail.
-
Own release operationalization by maintaining runbooks, validation notebooks/checklists, and production observability artifacts (ingestion logs, error traces, alert routing) so deployments are traceable, recoverable, and supportable.
-
Drive Agile Ops, Governance, and Predictable Delivery
- Own MSO’s Agile operating model across BI and Data Engineering, ensuring clear backlogs, prioritization, sprint discipline, and dependency management.
-
Establish delivery governance that enables predictable releases, transparent trade‑offs, and proactive risk management.
-
Ensure strong KPI traceability, documentation standards, and release discipline across all BI and data assets.
-
Executive Stakeholder & Cross‑Functional Leadership
- Serve as a senior leader and escalation point across MIO, brand teams, Decision Sciences, engineering, and vendors.
-
Influence prioritization and investment decisions by aligning MSO capabilities with commercial and strategic needs.
-
Build strong partnerships with senior stakeholders by consistently delivering trusted data and insights.
-
Lead, develop, and scale BI Managers, Data Engineering Managers, and their teams.
-
Set clear expectations for ownership, quality, and leadership behaviors across the org.
-
Build a high‑performance culture focused on accountability, continuous improvement, and business impact.
Thrive | What you can expect
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.
Basic Qualifications
-
Master’s /Bachelor's degree or PhD in Data Engineering, Information Systems, or a related quantitative field.
-
12 - 15 years of experience in media analytics, digital data ops, or MarTech roles, with at least 3+ years of people management.
-
Deep understanding of digital media ecosystems and hands-on experience with campaign data flows from ad platforms to dashboards.
-
Demonstrated success designing and scaling data platforms on AWS, Databricks, or equivalent cloud infrastructure.
-
Strong delivery leadership skills and comfort managing stakeholders across marketing, engineering, and external vendors.
Preferred Qualifications
-
Background in the pharma industry or other regulated domains with compliance requirements for media data.
-
Experience managing vendor ecosystems, campaign data pipelines, and reporting operations across multiple brands or markets.
-
Familiarity with campaign activation tools (e.g., Salesforce plugins, Datorama, SFMC) and taxonomy/tagging standards.
-
Strategic mindset with the ability to lead capability building while maintaining operational stability.
-
Strong written and verbal communication skills; experience presenting data strategy to executive audiences.
