• Own the marketing AI strategy and multi-year roadmap aligned to business objectives, revenue goals, and customer experience priorities. • Define how AI is applied across all major marketing functions • Identify, prioritize, and define high-impact AI use cases across marketing, including (but not limited to): • Audience targeting, segmentation, and account selection • Personalization of website, email, and field experiences • Content creation, optimization, and reuse at scale • Predictive analytics, forecasting, and propensity modeling • Lead, account, and opportunity scoring • Campaign performance optimization and budget allocation • Marketing productivity and workflow automation • Balance near-term efficiency gains with longer-term, transformational AI investments. • Establish governance frameworks for responsible AI usage and define guardrails, best practices, and decision frameworks for AI adoption across marketing teams. • Evaluate AI-powered marketing technologies, platforms, and vendors; build business cases and ROI models for adoption. • Support AI tool owners in vendor selection, pilots, and rollouts. • With Marketing Operations, ensure AI tools integrate cleanly into the existing marketing tech stack. • Define success metrics for AI initiatives, including productivity gains, cost efficiency, pipeline impact, and revenue contribution. • Partner with Marketing Ops, Planning and Insights and Finance Analytics teams to measure performance and continuously refine AI models and use cases. • Communicate impact and learnings to marketing and executive leadership. • Lead enablement efforts to drive adoption of AI capabilities across marketing teams. • Educate stakeholders on AI capabilities, limitations, and best practices. • Act as a thought leader and internal evangelist for practical, responsible AI use in marketing. • Stay current on emerging AI trends, technologies, and regulatory considerations relevant to marketing. • Run a test-and-learn program to experiment with new AI-driven approaches and scale proven wins.

• Build and ship AI-powered automations that improve efficiency and eliminate manual work • Translate business problems into practical, working AI-driven solutions • Rapidly prototype, test, and iterate using modern AI tools • Partner with stakeholders to understand needs and refine solutions over time • Continuously identify opportunities to improve processes through automation • Balance speed and quality—moving quickly while ensuring solutions are usable and effective

• Lead enterprise AI and technology learning strategy focused on upskilling and reskilling • Drive AI University and Tech Lab revamp with support from the broader team • Enable adoption of AI tools (e.g., Microsoft Copilot) through practical, hands-on learning • Identify and prioritize emerging and critical skills across IQVIA’s tech and AI ecosystem • Manage vendors and one direct report; collaborate across IT, AI, and business stakeholders

Project Overview We are sourcing independent Search Engine Evaluation Specialists to provide their expertise for an AI benchmark evaluation project. As AI models increasingly interpret search intent, analyze indexing protocols, and evaluate search rank responses, their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks, strong prompts, and clear, well-structured rubrics that generate clean, reliable data for model training. Project Deliverables & Scope Operate autonomously to design complex evaluation frameworks and provide structured training data. Expected deliverables include: - Task & Prompt Creation: Generating realistic, high-quality prompts that compel the AI model to produce complex, professional-grade deliverables specific to search rank response analysis, indexing logic, and query relevance. - Benchmark Evaluation Data Generation: Producing clean, reliable training data that directly aids in the evaluation and refinement of AI models handling complex SEO and search engine ranking tasks. - Quality Assurance & Fact-Checking: Ensuring all generated tasks and scoring criteria reflect strict, real-world search quality rating standards, technical indexing mechanics, and user intent accuracy. Required Expertise To successfully fulfill the deliverables of this project, Contractors must possess deep industry knowledge to craft realistic professional scenarios. Core skillset includes: - Demonstrable professional expertise within the Search Engine Optimization (SEO), search quality rating, or digital marketing sectors, with a deep understanding of indexing, ranking factors, and search response evaluation. - Strong writing and prompt generation skills, with the ability to design highly realistic, complex search evaluation task scenarios for AI training. - Proficiency in rubric generation, specifically the ability to create objective, non-ambiguous scoring criteria that leave no room for subjective interpretation. - A meticulous, detail-oriented approach to fact-checking search rankings, evaluating content quality against official rating guidelines, and generating reliable data for system benchmarking. We offer a pay rate of $20 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Engagement Type: Freelance / Independent Contractor Workplace Type: Remote