CDNA_Sr Manager – Media Data Ops

<h2><b>Career Category</b></h2>Engineering<h2></h2><h2><b>Job Description</b></h2><p><b>HOW MIGHT YOU DEFY IMAGINATION?</b><br />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.</p><p><b>Live | What you will do</b></p><ul><li><b>Set BI &amp; Data Engineering Strategy and Direction   </b></li><li>Define and own the integrated BI and Data Engineering strategy for MSO, ensuring alignment between data ingestion, transformation, and dashboard consumption.</li></ul><ul><li>Establish long‑term roadmaps for MSO’s data backbone and BI products, balancing scale, reliability, flexibility, and speed.</li><li>Act as the senior authority on data‑to‑decision enablement, ensuring outputs are not only technically correct but business‑relevant and decision‑ready.</li><li><b>Lead BI Delivery, Design, and Business Translation </b></li><li>Oversee BI delivery across MSO (e.g., ELL, Media Goals, HCP/DTC Trackers, Web and Competitive Intelligence dashboards).</li><li>Ensure mockup‑driven design practices are embedded, translating business questions into structured dashboard designs and build‑ready specifications.</li><li>Guide teams in strengthening business logic understanding, KPI interpretation, and narrative framing behind dashboards.</li><li>Lead and/or sponsor executive‑ and brand‑level dashboard readouts, ensuring insights are clearly communicated and actionable.</li><li><b>Own Data Engineering Excellence &amp; Platform Reliability </b></li><li>Provide senior oversight of MSO’s data engineering foundation, including ingestion (file‑based and API‑driven), transformation, DQM, and BI‑ready aggregation layers.</li><li>Establish and enforce data engineering best practices (scalable pipeline patterns, testing, observability, recovery, and documentation).</li><li>Ensure operational excellence across Databricks/S3 pipelines powering BI, web analytics, and 3rd‑party competitive datasets.</li></ul><p></p><ul><li><b>Ensure quality control and release readiness</b><ul><li>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.</li><li>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.</li></ul></li></ul><p></p><ul><li><b>Drive Agile Ops, Governance, and Predictable Delivery </b></li></ul><ul><li>Own MSO’s Agile operating model across BI and Data Engineering, ensuring clear backlogs, prioritization, sprint discipline, and dependency management.</li><li>Establish delivery governance that enables predictable releases, transparent trade‑offs, and proactive risk management.</li><li>Ensure strong KPI traceability, documentation standards, and release discipline across all BI and data assets.</li></ul><p></p><ul><li><b>Executive Stakeholder &amp; Cross</b><b>‑</b><b>Functional Leadership </b></li></ul><ul><li>Serve as a senior leader and escalation point across MIO, brand teams, Decision Sciences, engineering, and vendors.</li><li>Influence prioritization and investment decisions by aligning MSO capabilities with commercial and strategic needs.</li><li>Build strong partnerships with senior stakeholders by consistently delivering trusted data and insights.</li></ul><p></p><ul><li><b>People &amp; Org Leadership</b></li></ul><ul><li>Lead, develop, and scale BI Managers, Data Engineering Managers, and their teams.</li><li>Set clear expectations for ownership, quality, and leadership behaviors across the org.</li><li>Build a high‑performance culture focused on accountability, continuous improvement, and business impact.      </li></ul><p></p><p><b>Thrive | What you can expect</b></p><p>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.</p><p><b>Basic Qualifications</b></p><ul><li>Master’s /Bachelor&#39;s degree or PhD in Data Engineering, Information Systems, or a related quantitative field.</li><li>12 - 15 years of experience in media analytics, digital data ops, or MarTech roles, with at least 3&#43; years of people management.</li><li>Deep understanding of digital media ecosystems and hands-on experience with campaign data flows from ad platforms to dashboards.</li><li>Demonstrated success designing and scaling data platforms on AWS, Databricks, or equivalent cloud infrastructure.</li><li>Strong delivery leadership skills and comfort managing stakeholders across marketing, engineering, and external vendors.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Background in the pharma industry or other regulated domains with compliance requirements for media data.</li><li>Experience managing vendor ecosystems, campaign data pipelines, and reporting operations across multiple brands or markets.</li><li>Familiarity with campaign activation tools (e.g., Salesforce plugins, Datorama, SFMC) and taxonomy/tagging standards.</li><li>Strategic mindset with the ability to lead capability building while maintaining operational stability.</li><li>Strong written and verbal communication skills; experience presenting data strategy to executive audiences.</li></ul><p></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>.