Senior Manager, Partner Results

Swoop Airlines and Aviation

About The Position

At Swoop Communities, the Senior Manager, Partner Results will be an enthusiastic individual focused on data interpretation to uncover trends and guide strategic decisions. The role requires a solid understanding of the pharmaceutical landscape, media analytics, and emerging AI-driven data solutions. This pivotal role within the Partner Results team involves collaboration across Marketing, AdOps, Partnership Success, Business Development, and other teams. Key responsibilities include evaluating media campaign performance, developing proactive optimization strategies, and increasingly leveraging AI-powered tools and automation to scale insights and improve decision-making. The Senior Manager will also engage directly with media agency clients, translating campaign objectives and KPIs into data-driven strategies, enhanced by predictive modeling, automated insight generation, and advanced analytics.

Requirements

A background in business, bioscience, marketing, economics, data science, or a related field
5+ years of experience in media or data analytics within the pharmaceutical or healthcare industry
A strong analytical mindset and experience working with large, complex datasets
Experience leveraging AI/ML tools or platforms for data analysis, forecasting, or automation (e.g., predictive modeling, clustering, NLP-based insights, or anomaly detection)
Familiarity with integrating AI tools (e.g., Python-based workflows, SQL, or AI-assisted analytics platforms) into day-to-day analysis
Proficiency in Excel, PowerPoint, Tableau, or similar tools for data visualization and storytelling
Experience building automated dashboards or workflows to scale reporting and insight generation
Strong understanding of statistical methods, forecasting, and scenario analysis
Excellent communication skills, with the ability to translate complex analyses (including AI-driven outputs) into clear business insights
Ability to lead cross-functional discussions and influence stakeholders with data-backed recommendations
Ability to thrive in a fast-paced environment while maintaining attention to detail and organization

Nice To Haves

Experience assessing media performance for pharmaceutical campaigns
Familiarity with third-party datasets such as Crossix, IQVIA, Symphony, and Comscore
Experience building or using AI assistants, automated insight-generation tools, or data pipelines
Exposure to prompt engineering or working with large language models (LLMs) for analytics or reporting workflows
Basic proficiency in Python, SQL, or similar tools for advanced analytics and automation
Experience designing scalable knowledge bases or systems to incorporate historical campaign learnings

Responsibilities

Developing comprehensive campaign measurement plans, KPIs, and benchmarks to enable robust performance tracking
Leveraging third-party data within Swoop Communities’ internal analytics platform to monitor campaign performance and conduct trend analyses
Applying AI-driven analytics (e.g., predictive modeling, anomaly detection, and automated insight generation) to identify performance drivers and optimization opportunities
Continuously monitoring and evaluating campaign performance across brands and conditions, incorporating machine-assisted analysis where appropriate
Collating and synthesizing data across conditions and brands to forecast campaign performance, including for new or data-sparse campaigns
Building scalable frameworks and tools (including AI-assisted workflows) to bridge data gaps and improve speed-to-insight
Delivering monthly performance insights and narratives across campaigns/brands to internal cross-functional teams
Translating complex datasets into clear, actionable insights using data visualization and AI-assisted storytelling tools
Compiling campaign performance data to craft compelling, data-backed case studies for RFPs
Establishing consistent processes for performance check-ins and quarterly business reviews, incorporating automated reporting where possible
Leading client calls and using data (including modeled or inferred insights) to guide strategic discussions and gather feedback