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Senior Manager - Digital Analytics

Amgen
Hyderabad, India
On-site

About this role

About the Role Lead a team of analysts in Amgen's Marketing Investment Optimization (MIO) Digital Analytics to define and scale media measurement and campaign analytics. Turn campaign data into a clear decision framework used by senior leadership, enabling in-flight optimization and stronger future planning in line with brand objectives. What You'll Do

  • Execute integrated analytics strategy that connects media and campaign performance analytics (in-flight and post-campaign), measurement and KPI frameworks (tracking, goals, scorecards), and optimization recommendations.
  • Ensure insights evolve with increasing channel complexity, data availability, and privacy/platform changes.
  • Guide interpretation of key media performance metrics (reach, frequency, engagement, traffic, conversions, efficiency, pacing, quality) across channels.
  • Scale enterprise standards for campaign and digital analytics processes across digital, HCP, and DTC channels, including cross-channel scorecards and benchmarks.
  • Serve as the senior point of view on measurement validity and data quality, driving root-cause analysis when signals conflict.
  • Ensure quality, repeatability, and auditability across media analytics deliverables (readouts, dashboards, goal tracking, performance narratives).
  • Anticipate and mitigate risks related to data gaps, platform changes, inconsistent reporting, or data availability issues. What We're Looking For
  • Experience leading a team of analysts in a fast-paced analytics environment.
  • Deep expertise in media measurement (paid and owned), campaign analytics, performance goal setting, and web analytics, with the ability to translate complex data into actionable recommendations for senior leadership.
  • Strong collaboration with Brand Marketing, Agencies, Media Strategists, Operations, and other cross-functional analytics groups.
  • Proven ability to guide interpretation of metrics such as reach, frequency, engagement, traffic, conversions, efficiency, pacing, and quality across channels.
  • Experience scaling enterprise analytics standards and cross-channel scorecards/benchmarks.
  • Commitment to data quality and measurement validity; experience with root-cause analysis when signals conflict and with addressing data gaps or platform changes.
  • Excellent communication and storytelling skills; ability to present to senior leadership and influence decision-making.

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