AI Product Owner (Manager/Senior Manager)

MENARINI Group•New York, NY

6d•$160,000 - $190,000

About The Position

The IT AI Product Owner supports the operation and continuous improvement of AI-enabled business solutions and products, with a particular focus on Generative Engine Optimization (GEO). GEO involves ensuring company brands, products, and scientific content are accurately represented, discoverable, and favorably surfaced across AI-driven search and answer engines. The role connects IT operations with business teams, including Digital Marketing, Communications, and Content Governance, and requires work across technical systems, stakeholder needs, and life-sciences compliance requirements. The position provides day-to-day operational support for internal AI solutions, monitors how company assets appear in generative AI search results, translates monitoring findings into content recommendations, and partners with IT, Marketing, Medical, Regulatory, and other teams to implement approved improvements. It also supports AI governance, platform incident resolution, user acceptance testing, reporting, and the development of standards and procedures for GEO monitoring and AI solution support.

Requirements

Bachelor’s degree in Information Technology, Business, Computer Science, Marketing, Communications, or a related field, or equivalent experience.
8–10+ years of experience as a Business Analyst, IT Analyst, Digital Analyst, or in a similar hybrid technical/business role within a life-sciences, pharmaceutical, biotech commercial, medical, or healthcare organization.
Demonstrated experience supporting or administering software/SaaS platforms, including requirements gathering, coordinating testing, and stakeholder communication.
Familiarity with generative AI tools and platforms such as ChatGPT, Perplexity, Copilot, and Gemini, and interest in AI’s effect on search and content discovery.
Conceptual understanding and practical application of AI technologies and concepts, including RAG, Graph RAG, LLMs, GEO, AISO, AEO, NLP, predictive analytics, multi-hop retrieval, entity-based SEO, knowledge graphs, semantic structures, vector embeddings, prompt engineering, intent analysis, and data chunking.
Working knowledge of SEO fundamentals and emerging GEO/AEO concepts, including structured data, schema.org markup, content authority, and citation optimization.
Strong analytical skills and ability to turn monitoring data into actionable insights for non-technical stakeholders.
Excellent written and verbal communication skills, including the ability to present findings to cross-functional and leadership audiences.
Experience in a regulated industry such as life sciences, pharmaceuticals, biotech, or healthcare, with an understanding of MLR/promotional review processes, or a strong willingness and ability to learn.
Ability to work across technical systems, business stakeholders, and life-sciences compliance requirements.

Nice To Haves

Experience with content management systems, digital asset management systems, or web analytics platforms such as Adobe Analytics, Google Analytics, Sitecore, or AEM.
Familiarity with AI/LLM monitoring or brand-visibility tools, or experience building custom tracking with APIs, Python, or low-code automation tools.
Understanding of pharmaceutical promotional and medical communication compliance requirements, such as FDA OPDP guidance and the PhRMA Code.
Experience with project management or ticketing tools such as Jira, ServiceNow, or Azure DevOps.

Responsibilities

Translate business workflows and strategic goals into user stories, acceptance criteria, and system requirements for IT and engineering teams in an Agile/Scrum environment.
Provide operational support for internal AI solutions and tools, monitoring their performance, availability, and adoption.
Triage and resolve or escalate AI-platform incidents, access requests, and configuration issues in partnership with IT infrastructure, vendors, and business owners.
Support AI governance, including tool intake, risk and compliance reviews, and maintenance of an AI use-case inventory.
Coordinate user acceptance testing, release notes, and training materials for AI solution updates and rollouts.
Monitor how company brands, products, pipeline assets, and scientific or medical content appear across generative AI search and answer engines on a regular cadence.
Track accuracy, completeness, sentiment, and citation sources in AI-generated responses; escalate misinformation, outdated information, and off-label or non-compliant representations.
Benchmark company visibility in AI-generated answers against competitors and industry standards, and maintain a GEO scorecard or dashboard.
Stay current on GEO and AI-search practices and assess their applicability to company digital assets.
Partner with IT and analytics teams to build or maintain tools, scripts, or dashboards that automate GEO monitoring where feasible.
Translate monitoring findings into prioritized content-update recommendations for owned digital properties.
Coordinate recommended content changes with Marketing, Corporate Communications, Medical Affairs, and Regulatory/Legal through appropriate MLR review and approval workflows.
Support implementation of approved content changes with web and content teams, ensuring changes are applied consistently and are properly tagged or structured for machine readability.
Document GEO findings, actions, and outcomes to demonstrate impact and support continuous improvement.
Prepare regular reports and presentations on AI solution performance and GEO monitoring insights for IT leadership and business stakeholders.
Act as a liaison among IT, Marketing/Digital, Medical, and Regulatory/Compliance teams on AI tools and public-facing content accuracy.
Contribute to internal standards, playbooks, and SOPs for GEO monitoring and AI solution support.