CDNA_Sr Manager – Media Data Ops

Career Category

Job Description

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.

• People & Org Leadership

• 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.