Vice President, Data Science (AI)

Location: Alexandria, Virginia, United States of America; hybrid. Full-time business hours in your time zone with flexibility to support global business needs.

Base salary: $240,000–$300,000 USD per year, plus eligibility for bonus earnings.

Company

hirify.global develops information and analytics solutions for the Intellectual Property business, using data science, machine learning, Generative AI, and Agentic AI.

What you will do

• Define and execute the enterprise Data Science & AI vision, investment priorities, and multi-year roadmap.
• Lead the strategy, architecture, and implementation of Generative AI and Agentic AI solutions, including agents, copilots, assistants, reasoning systems, and workflow automation.
• Direct predictive modeling, recommendation systems, forecasting, analytics platforms, and reusable AI capabilities.
• Set standards for foundation model selection, fine-tuning, deployment, benchmarking, governance, lifecycle management, and cost optimization.
• Establish responsible AI standards covering transparency, security, compliance, explainability, monitoring, and risk mitigation.
• Build and lead a global Data Science & AI organization and partner with Product, Engineering, Commercial, Operations, Legal, Customer Success, and executive stakeholders to measure adoption, performance, ROI, customer impact, and cost efficiency.

Requirements

• Bachelor’s or master’s degree in Computer Science, Data Science, AI, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.
• 15+ years of progressive experience in Data Science, AI, Machine Learning, Advanced Analytics, or related fields, including 8+ years leading enterprise-scale global teams.
• Experience managing Data Scientists, Applied Scientists, AI Researchers, ML Engineers, Data Engineers, and MLOps professionals.
• At least 7 years defining AI strategy and delivering production-grade AI/ML systems and data products at enterprise scale.
• At least 7 years spanning deep learning, NLP, RAG, LLMs, Generative AI, Agentic AI, MLOps, and responsible AI practices.
• At least 7 years developing or leading solutions involving predictive modeling, deep learning, NLP, recommendation systems, forecasting, computer vision, graph methods, or experimentation.
• At least 7 years with Generative AI, LLMs, SLMs, RAG, multimodal AI, knowledge graphs, prompt engineering, agentic workflows, evaluation, AI safety, and hallucination mitigation.
• At least 7 years with pretraining, fine-tuning, PEFT/LoRA, quantization, distillation, explainability, benchmarking, and A/B testing.
• At least 7 years with deployment pipelines, monitoring, feature stores, vector databases, drift detection, observability, data quality, cloud-native platforms, and Kubernetes.
• At least 7 years managing AI/ML costs and measuring business value, including LLM cost management, model routing, GPU and inference optimization, hybrid model strategies, FinOps, and AI ROI measurement.
• At least 7 years presenting AI strategy and outcomes to executives, customers, boards, investors, or industry forums.

Nice to have

• PhD in a related quantitative field.
• Experience in Intellectual Property, Legal Technology, Information Services, Scientific Research, SaaS, or Knowledge Management.
• Recognized AI/ML contributions through patents, publications, conference talks, or AI Centers of Excellence leadership.

Culture & Benefits

• Global, multidisciplinary Data Science & AI organization focused on customer insight, workflow automation, product intelligence, and strategic decision-making.
• Medical, dental, prescription drug, life insurance, 401k with match, long-term disability coverage, vacation, sick time, volunteer time, and discount programs.
• Equal employment opportunities are provided in accordance with applicable laws and regulations.