Our client is seeking an Executive Editor with advanced data fluency and a strong background in data journalism and AI to lead the creation of high-impact editorial products that translate quantitative findings into meaningful insights for healthcare professionals. This editor will oversee the flagship Reports franchise including physician compensation, lifestyle, and sentiment surveys as well as emerging AI-driven, data-focused features that help readers understand trends in medicine, practice management, and clinician well-being. The ideal candidate is a data-literate, AI-savvy editor who is as comfortable interpreting complex analyses and algorithmic models as they are shaping compelling, evidence-based stories. This person will collaborate closely with analytics, research, and AI innovation teams to identify significant patterns, ensure statistical and methodological integrity, and surface insights that guide editorial strategy and deepen audience engagement. Key Responsibilities:

• Lead the development and execution of Reports and data-driven editorial series, from concept through publication.
• Partner with research, analytics, and AI teams to design, refine, and interpret physician surveys, audience studies, and predictive analyses.
• Analyze quantitative findings and AI-generated insights to identify trends, correlations, and signals that can be transformed into clear, credible stories.
• Use AI to create and edit data visualizations, infographics, dashboards, and interactive tools in collaboration with designers and data visualization specialists.
• Think creatively about new multimedia formats and AI-enhanced storytelling methods including visuals, audio, and video that make data and insights more accessible and engaging.
• Ensure that survey methods, AI models, and data analyses meet the highest standards of accuracy, transparency, and reproducibility.
• Develop editorial frameworks for tracking metrics across specialties, audience segments, and timeframes to inform ongoing coverage.
• Write and edit features that contextualize quantitative and AI-driven findings within broader clinical, social, or economic narratives.
• Mentor editors and writers on interpreting, validating, and applying data and AI insights in their reporting and editing.
• Serve as the editorial liaison to data science, AI, and business intelligence teams to ensure alignment across content, analytics, and product strategies.

Qualifications:

• Minimum of 8 years of experience in health, science, or business journalism, with at least 4 years focused on data journalism or data-driven storytelling. At least 1 year of experience using AI applications to assist in the creation of content.
• Strong proficiency in Excel, Google Sheets, and data visualization tools such as Tableau, Datawrapper, Flourish, or Power BI
• Proficiency in databases and software like MySQL
• Proven ability to interpret survey data, statistical models, and AI-generated analyses to extract meaningful editorial insights.
• Familiarity with quantitative and computational analysis concepts, including sampling, weighting, regression, machine learning, and confidence intervals.
• Demonstrated success in producing or editing reports or stories grounded in quantitative and algorithmic evidence.
• Excellent ability to translate complex findings into clear, engaging narratives that resonate with medical professionals.
• Strong project-management and communication skills; able to coordinate across analytics, design, AI, and editorial teams.
• 5+ years of experience in multimedia formats (interactive graphics, video explainers, podcasts, or data dashboards).
• Bachelors degree required; advanced degree in journalism, data science, statistics, AI, or public health preferred.

Ideal Candidate:

• You have a journalists curiosity, a data scientists precision, and an AI researchers analytical mindset.
• You know how to turn spreadsheets and models into stories, and you see patterns where others see noise.
• You are driven by accuracy, fascinated by emerging technologies, and motivated by helping healthcare professionals understand the data shaping their work.