Cdna_sr Manager – Media Data Ops

**Career Category** ------------------- Engineering **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. .