Senior SEO Analyst (Data & Services)

Versant•Englewood Cliffs, NJ

13d•$80,000 - $110,000

About The Position

The Senior SEO Analyst will play a critical role in shaping the organic growth strategy across CNBC, MSNBC, and E! News digital platforms. This role combines analytical expertise with editorial collaboration to drive visibility, engagement, and audience loyalty through search optimization across traditional search, AI-driven discovery (AIO/GEO), and emerging content platforms. The Senior SEO Analyst will partner closely with content, product, design and engineering teams to ensure stories, videos, and streaming experiences are discoverable and performant across traditional search, AI-generated search results, chatbots, and answers, and social discovery surfaces. This individual will leverage data-driven insights to identify growth opportunities, optimize editorial workflows, and guide long-term strategies that strengthen the authority and digital footprint of each brand. They will serve as the bridge between editorial creativity, AI-driven discovery systems, technical performance and user experience—using advanced analytics, structured data, and AI-driven insights to enhance the discoverability of premium journalism, entertainment and streaming content while maintaining brand integrity and editorial excellence. Success in this role requires fluency across editorial, technical, AI, UX, and commercial ecosystems, along with a deep passion for news, media, and audience behavior.

Requirements

4+ years of SEO experience, preferably within digital media, news, entertainment or streaming industries.
Deep understanding of technical, on-page, and off-page SEO principles.
Deep understanding of technical SEO, structured data, semantic search, and E-E-A-T principles in authoritative content environments.
Demonstrated experience optimizing for AI-driven discovery, including Google AI Overviews, featured snippets, and emerging generative search ecosystems.
Proficiency with SEO and analytics tools such as Google Search Console, Google Analytics, SEMrush, Screaming Frog, and/or Looker Studio.
Strong data analysis and reporting skills with the ability to translate findings into actionable strategies.
Excellent communication skills with experience partnering across editorial, product, UX/design and engineering teams.
Proven track record of delivering measurable organic traffic growth in large, content-driven environments.

Nice To Haves

Experience with enterprise CMS platforms.
Familiarity with structured data, schema markup, and rich results optimization.
Understanding of video and streaming SEO across YouTube, OTT, and connected TV ecosystems.
Experience leveraging AI tools for keyword clustering, content optimization, or audience segmentation.
Passion for journalism, media innovation, and emerging trends in audience discovery.

Responsibilities

Develop and execute comprehensive SEO and GEO strategies for CNBC, MSNBC, and E! News digital properties.
Embed SEO and AI-discovery best practices into editorial workflows for breaking news, investigations, features, evergreen, live coverage, and streaming content to maximize visibility across traditional and AI-driven search surfaces.
Lead optimization across search and generative discovery platforms, including AI answer engines, zero-click SERPs, featured snippets, metadata, tagging, schema, and internal linking to strengthen authority and citation visibility.
Partner with Product, Design, and Engineering to enhance on-site and streaming discoverability through search-informed navigation, topic hubs, recirculation modules, strong site architecture, Core Web Vitals, and structured data implementation.
Leverage data and audience insights — including traffic trends, keyword research, search intent modeling, and competitive benchmarking — to inform editorial strategy, coverage priorities, and growth opportunities.
Develop measurement frameworks and dashboards to track performance across brands and platforms, translating insights into actionable editorial and product recommendations.
Identify and implement AI and automation opportunities for tagging, clustering, optimization, and workflow efficiency in partnership with Data & Insights teams.
Lead experimentation and cross-functional education, including A/B testing, algorithm updates, AI search evolution, and emerging audience discovery trends.
Educate cross-functional teams on SEO trends, AI search evolution, generative engine developments, and emerging shifts in audience discovery.
Support experimentation and A/B testing for headlines, content modules, and landing pages to maximize reach and engagement.