# Spartan Group — Vice President of Artificial Intelligence - Generated: 2026-09-04 01:38:39 AM EDT - Canonical URL: https://www.linkedin.com/jobs/view/4462475290/ - Provider: LinkedIn - Work model / location: 100% full remote; United States - Posting age at capture: 1 day ago (LinkedIn displayed); exact calendar timestamp not disclosed - Applicants: Be among the first 25 applicants - Compensation: $310,000–$670,000 base; 15%–25% target annual bonus; LTIP/equity - Travel: Not disclosed - Positioning track: Executive leader - Fit outcome: PASS — 90% - Artifacts: Keith_Steward_VP_AI_Data_Platforms_4462475290_Resume.pdf (2 pages, 1105 words); Keith_Steward_VP_AI_Data_Platforms_4462475290_Cover_Letter.pdf (1 page, 239 words) - Resume URL: https://bit.ly/3SpokzO - Cover-letter URL: https://bit.ly/3SPJiYx - Archived capture URL: https://bit.ly/4gMT45B ## Evidence map | Priority requirement | Weight | Score | Keith's supported evidence | |---|---:|---:|---| | Define and execute AI strategy; deliver production AI | 3 | 3 | Owned strategy, architecture, engineering, delivery, and operations for AssistX; first production release in eight months. | | Build and lead multidisciplinary AI/data teams | 3 | 3 | Recruited and directly led 11 engineers; led organizations and technical communities of 24, 80+, and 100. | | Software engineering, algorithms, distributed systems | 3 | 3 | 30+ years of software architecture; hands-on Python, APIs, distributed AWS systems, Spark, Kubernetes, and full-stack delivery. | | Genomics, bioinformatics, and healthcare data context | 2 | 3 | Ph.D.; genomic drug-target AI; original Ingenuity Pathway Analysis developer; pharmaceutical bioinformatics and regulated healthcare technology. | | Data science, predictive modeling, experimentation, evaluation | 2 | 2 | Production forecasting and optimization; SageMaker/TensorFlow work; model evaluation and governance. Formal experimentation evidence is less explicit. | | Pattern recognition for high-dimensional data | 2 | 1 | Adjacent genomic data mining, knowledge discovery, predictive modeling, and SparkML evidence; classification/clustering/feature extraction are not explicit in source files. | | NLP, information extraction, and LLMs | 2 | 3 | Production GenAI, LLM, RAG, AI-agent, vector-search, and knowledge-extraction platform delivery. | | Modern ML frameworks, Python, Kubernetes, cloud | 2 | 3 | Direct Python, TensorFlow, SageMaker, Kubernetes, AWS, SparkML, LangChain, and LangGraph experience. | | Reliable, secure, compliant, ethical AI | 2 | 3 | AI governance, privacy, model transparency, bias/drift monitoring, prompt controls, evaluation, observability, IAM, and regulatory delivery. | Weighted fit: 57 / 63 = 90% (rounded). No hard gap. ## Direct-match strengths 1. Combines executive AI strategy and team building with hands-on architecture, coding, and production delivery. 2. Has rare direct genomics, bioinformatics, pharmaceutical research, and healthcare-technology evidence. 3. Has built scalable AI/data platforms and multidisciplinary teams, with strong Responsible AI, privacy, security, and governance depth. ## Material gaps and caveats 1. Source files do not explicitly document hands-on PyTorch or scikit-learn; the JD presents these as examples alongside tools Keith does use. 2. Explicit classification, clustering, and feature-extraction evidence is weaker than Keith's broader predictive modeling, genomic knowledge-discovery, and SparkML record. 3. The LinkedIn employer identity appears unusual: the Spartan Group company link resolves to Genetic4all's LinkedIn company page. Validate the employer and hiring contact before providing sensitive information. ## Full normalized job description Compensation & Financial Incentives Highly Competitive Base Salary: $310,000 – $670,000 per annum, commensurate with experience and expertise. Performance-Based Annual Bonus: 15% - 25% target annual cash bonus linked to individual and corporate milestone achievements. Equity Participation: Generous Long-Term Incentive Plan (LTIP) including Initial Equity / RSU grant with a standard vesting schedule. Retirement Security: 401(k) retirement plan with an immediate company match of up to 4% - 6% (100% vested from Day 1). Health & Wellness (Executive-Grade) Premium Healthcare Coverage: 100% company-paid premium Medical, Dental, and Vision insurance plans covering both the employee and eligible dependents. Health Savings Account (HSA) / FSA: Up to $2,000 annual corporate contribution to your HSA. Executive Wellness: Annual comprehensive executive health check-ups and access to premier mental health support platforms. Work-Life Balance & Flexibility True Work-from-Home Flexibility: 100% Full Remote setup with a one-time $2,500 Home Office Stipend, plus a monthly $150 tech/internet allowance. Unlimited Paid Leave of Time (PTO): Flexible leave policy (at least 4 weeks of leave per year), plus more than 12 paid company holidays and year-end company shutdown. Paid Parental Leave: Up to 16 weeks of 100% paid primary care parental leave. Role Description The Vice President of Artificial Intelligence is a full-time, remote leadership role responsible for defining and executing the AI strategy across Spartan Group’s collaboration with Genetic4all. This role oversees the design, development, and deployment of AI models and data platforms that enable advanced analysis of large-scale genomic datasets. Day-to-day responsibilities include leading multidisciplinary AI and data teams, setting technical direction, reviewing architecture and code for complex AI systems, and ensuring models are reliable, secure, and compliant with relevant regulations. The Vice President of Artificial Intelligence will collaborate with product, engineering, clinical, and business stakeholders to translate genomic and healthcare needs into AI solutions, prioritize initiatives, and drive measurable impact. The role also involves mentoring team members, establishing best practices, and staying current with emerging AI, data science, and genomics technologies to inform roadmap decisions. Qualifications - Strong foundation in Computer Science, including algorithms, data structures, distributed systems, and software engineering principles. - Advanced expertise in Data Science and Analytics, including statistical modeling, predictive modeling, experimentation, and performance evaluation. - Deep knowledge of Pattern Recognition techniques, such as classification, clustering, and feature extraction for high-dimensional data. - Experience with Natural Language Processing (NLP), including text mining, information extraction, and large language models where relevant. - Proven leadership in building and managing AI or data science teams, with a track record of delivering production-grade AI solutions. - Hands-on experience with modern ML/AI frameworks and tools (e.g., Python, TensorFlow, PyTorch, scikit-learn, Kubernetes, cloud platforms). - Background in or strong familiarity with genomics, bioinformatics, or healthcare data is highly beneficial. - Excellent communication, stakeholder management, and collaboration skills across technical and non-technical audiences. - Graduate degree in Computer Science, Data Science, AI, or a related quantitative field; a PhD or equivalent experience is an advantage. - Commitment to ethical AI practices, data privacy, and inclusive, non-discriminatory leadership in a global, remote environment.