Manager/Senior Manager, IT AI Product Owner

Menarini Group•, NY

8d•$160,000 - $190,000•Onsite

About The Position

Our company is seeking an IT AI Product Owner to support the operation and continuous improvement of our AI-enabled business solutions/products, with a specific focus on Generative Engine Optimization (GEO) — the discipline of ensuring company brands, products, and scientific content are accurately represented, discoverable, and favorably surfaced across AI-driven search and answer engines (e.g., ChatGPT, Perplexity, Gemini, Copilot, and similar generative platforms). This role sits at the intersection of IT operations, and business function teams such as digital marketing/communications, and content governance, and requires someone comfortable working across technical systems, business stakeholders, and compliance requirements unique to the life sciences industry. The ideal candidate will combine solid technical/business analysis skills with curiosity about the evolving generative AI search landscape, and will be comfortable owning a recurring monitoring cadence, translating findings into actionable recommendations, and partnering with Marketing, Medical/Regulatory, and IT teams to keep company content accurate and optimized.

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 similar hybrid technical/business role in a life sciences, pharma, or biotech commercial, medical, or healthcare organization.
Demonstrated experience supporting or administering software/SaaS platforms, including gathering requirements, coordinating testing, and managing stakeholder communication.
Familiarity with generative AI tools and platforms (e.g., ChatGPT, Perplexity, Copilot, Gemini) and a genuine interest in how AI is changing search and content discovery.
Conceptual understanding of comprehensive AI Tech Stack: Demonstrate conceptual understanding and practical application of RAG (Retrieval-Augmented Generation), Graph RAG, Large Language Models (LLMs), Generative Engine Optimization (GEO), AI Search Optimization (AISO), Answer Engine Optimization (AEO), NLP, Predictive Analytics, Multi-Hop Retrieval, Entity-Based SEO, Knowledge Graphs, Semantic Structures, Vector Embeddings, Prompt Engineering, Intent Analysis, Data Chunking, etc.
Working knowledge of SEO fundamentals and emerging GEO/AEO (Answer Engine Optimization) concepts, such as structured data, schema.org markup, content authority, and citation optimization.
Strong analytical skills with the ability to synthesize monitoring data into clear, actionable insights for non-technical stakeholders.
Excellent written and verbal communication skills; comfortable presenting findings to cross-functional and leadership audiences.
Experience working within a regulated industry (life sciences, pharmaceutical, biotech, or healthcare) with an understanding of MLR/promotional review processes, or strong willingness and ability to learn.

Nice To Haves

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

Responsibilities

Translation of complex, unstructured business workflows and strategic goals into clear, actionable user stories, acceptance criteria, and system requirements that IT and engineering teams can immediately execute within an Agile/Scrum environment.
Serve as day-to-day operational support for internal AI solutions/tools (e.g., generative AI writing assistants, chatbots, internal copilots, AI-enabled analytics platforms), monitoring performance, availability, and adoption.
Triage and resolve or escalate incidents, access requests, and configuration issues related to AI platforms in partnership with IT infrastructure, vendors, and business owners.
Support governance activities including AI tool intake, risk/compliance reviews, and maintenance of an AI use-case inventory.
Coordinate user acceptance testing (UAT), release notes, and training materials for AI solution updates and rollouts.
Conduct regular (weekly/monthly) monitoring of how company brands, products, pipeline assets, and scientific/medical content appear across generative AI search and answer engines.
Track accuracy, completeness, sentiment, and citation sources of AI-generated responses referencing company assets; flag misinformation, outdated data, or off-label/non-compliant representations for immediate escalation.
Benchmark company visibility in AI-generated answers against competitors and industry standards; maintain a GEO scorecard/dashboard of findings and trends over time.
Stay current on GEO/AI search best practices (structured data, content authority signals, schema markup, source citation patterns, llms.txt and similar emerging standards) and evaluate their applicability to company digital assets.
Partner with IT and analytics teams to build or maintain lightweight tools, scripts, or dashboards that automate GEO monitoring where feasible.
Translate GEO monitoring findings into concrete, prioritized recommendations for content updates across owned digital properties (websites, HCP/patient portals, press releases, product pages, structured data).
Partner with Marketing, Corporate Communications, Medical Affairs, and Regulatory/Legal to route recommended content changes through appropriate medical-legal-regulatory (MLR) review and approval workflows.
Support implementation of approved content updates in collaboration with web/content teams, ensuring changes are applied consistently across channels and properly tagged/structured for machine readability.
Maintain documentation of GEO findings, actions taken, and outcomes to demonstrate impact and support continuous improvement.
Prepare regular reports and presentations summarizing AI solution performance and GEO monitoring insights for IT leadership and business stakeholders.
Act as a liaison between IT, Marketing/Digital, Medical, and Regulatory/Compliance functions on matters involving AI tools and public-facing content accuracy.
Contribute to the development of internal standards, playbooks, and SOPs governing GEO monitoring and AI solution support.