# KU Leuven Research & Development — VP of AI Strategy

- Generated: 2026-08-28 12:25:36 PM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4458975080/
- Posted: 2 hours ago at capture time
- Applicants: Be among the first 25 applicants
- Work model/location: Remote — United States
- Employment type: Full-time
- Compensation: Not disclosed; VP title qualifies under Keith's compensation rule
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: PASS — 85%

## Direct-match strengths

AI strategy and roadmaps, production AI architecture, multidisciplinary leadership, life-sciences and regulated-health technology, NLP, data platforms, privacy, and responsible-AI governance are direct strengths.

## Hard or material gaps

Hospital clinical-operations ownership and grant-proposal leadership are not explicit. Modern pattern-recognition evidence is less direct than Keith's NLP, LLM, RAG, forecasting, and bioinformatics work. The posting was verified on LinkedIn but no matching first-party KU Leuven careers page was found during the evaluation.

## Weighted evidence map

1. AI vision, roadmap, and organizational alignment — 3/3: Direct IDW, NorthBay, and enterprise AI strategy ownership.
2. Complex AI architectures and production systems — 3/3: Direct AssistX, AWS, cloud, data, and regulated-platform delivery.
3. Data science, analytics, and statistical insight — 2/3: Direct ML, predictive analytics, forecasting, TensorFlow, SageMaker, and Spark evidence.
4. Pattern recognition and NLP — 2/3: Direct NLP, LLM, RAG, and knowledge-discovery evidence; pattern-recognition wording is less explicit.
5. Multidisciplinary leadership and senior influence — 3/3: Built and led teams up to 25 and advised 200+ enterprises.
6. Healthcare/life sciences and regulatory privacy — 2/3: Ph.D., pharma, bioinformatics, FDA-cleared health technology, HIPAA, privacy, and governance evidence.
7. Ethical and responsible AI — 3/3: Direct bias, drift, transparency, auditability, lifecycle, privacy, and human-oversight work.
8. Mentoring, partnerships, and executive communication — 2/3: Strong mentoring and executive communication; grant proposals are not documented.

## Full normalized job description

Company Description
KU Leuven Research & Development is a hospital and health care organization based in Leuven, Belgium, with its headquarters located on Herestraat 49. The organization focuses on advancing medical innovation and translating research into practical health care solutions. Team members collaborate across disciplines to improve patient outcomes, strengthen clinical practices, and support evidence-based decision-making. Joining KU Leuven Research & Development offers the opportunity to work in an international, research-driven environment that values innovation, collaboration, and impact on global health.
Role Description
The VP of AI Strategy is a full-time, remote role responsible for defining and leading the organization’s AI vision and roadmap across hospital and health care operations. This position will oversee the identification of high-impact AI opportunities, guide research and development initiatives, and ensure alignment between AI projects and organizational goals. Day-to-day tasks include collaborating with clinical and technical teams, evaluating AI technologies and vendors, setting standards for data governance and ethical AI, and monitoring key performance indicators for AI solutions. The VP of AI Strategy will also provide thought leadership, build partnerships with internal and external stakeholders, and communicate strategic priorities to executives and cross-functional teams. The role involves mentoring AI and data teams, supporting funding and grant proposals, and ensuring compliance with regulatory and privacy requirements in all AI initiatives.
Qualifications
Strong foundation in Computer Science, with experience designing and overseeing complex technical architectures and AI-driven systems.
Expertise in Data Science and Analytics, including data modeling, statistical analysis, and translating insights into strategic recommendations.
Proficiency in Pattern Recognition and Natural Language Processing (NLP), with a track record of applying these methods to real-world problems, ideally in health care or related domains.
Demonstrated leadership in AI strategy, including building and guiding multidisciplinary teams, managing large-scale projects, and influencing senior stakeholders.
Advanced degree (Master’s or PhD) in Computer Science, Data Science, Engineering, Mathematics, or a related field is highly beneficial.
Experience in hospital, health care, or life sciences environments, with understanding of clinical workflows, regulatory frameworks, and data privacy standards.
Excellent communication and collaboration skills, with the ability to work effectively in remote, cross-cultural teams and present complex concepts clearly to non-technical audiences.
Proven ability to develop and implement ethical AI practices, including risk management, bias mitigation, and responsible data use.

## Artifact metadata

- Resume: https://bit.ly/4cLexL6
- Cover letter: https://bit.ly/45U720M
- Validation: PASS — 2-page resume (968 words), 1-page cover letter (218 words); geometry, annotations, bounds, text extraction, and links verified.
- Google Drive used: No