**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 solid 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.

📌 CDNA_Sr Manager - Media Data Ops (Hyderabad)
🏢 AMGEN
📍 Hyderabad