Senior Manager, Data Science

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🔥 23 minutes ago

🎸 Tennessee – Remote

🎸 Tennessee – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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Xsolis

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

💰 $75M Private Equity Round - Xsolis on 2021-06

Healthcare • SaaS • Artificial Intelligence

Xsolis is an AI-driven healthcare technology company that builds SaaS solutions to improve collaboration between providers and payers and make medical necessity and utilization decisions more objective and efficient. Its proprietary Dragonfly® platform applies real-time predictive analytics, natural language processing, and machine learning to assign continuous medical necessity scores and anticipate level-of-care for every patient, supporting utilization management, denial prevention, and revenue cycle workflows. Headquartered in Franklin, Tennessee, Xsolis emphasizes a human-centered approach and has been recognized on the Inc. 5000 and Deloitte Technology Fast 500 lists.

📋 Description

• Set the vision and multi-year roadmap for data science, ML and agentic AI tied to business goals • Identify high-value AI opportunities and make investment cases to leadership • Track advances in LLMs, agents and fine-tuning and determine adoption timing • Turn loosely defined ideas into scoped bets with goals, milestones and success metrics • Move initiatives from concept to prototype to production and own outcomes end to end • Build, hire and grow a high-performing team of data scientists and ML engineers • Mentor team members through 1:1s, career plans and feedback, and develop future leaders • Establish a culture of ownership, experimentation and high standards • Set standards and review designs for deep learning, GPU and distributed model training • Guide LLM strategy including prompting, RAG and PEFT fine-tuning with LoRA and QLoRA • Ensure rigorous model evaluation and control GPU spending • Shape AWS agentic-system architecture using Amazon Bedrock AgentCore, SageMaker, Lambda, EventBridge, ECS and CloudWatch • Champion MLOps practices including Docker, Terraform, CI/CD and production monitoring • Establish guardrails for agent permissions, data privacy and human review • Partner with product, data engineering and platform leaders on priorities and roadmap • Communicate vision, trade-offs and results to executives and non-technical audiences • Run the team using agile practices including sprint planning, backlog prioritization and retrospectives

🎯 Requirements

• 8+ years in data science or ML, including 3+ years leading teams of data scientists or ML engineers and experience in building agentic systems • Track record of setting a technical vision and delivering it, ideally taking new AI products or capabilities from idea to production • Strong understanding of practical deployment of agents to production using Agentcore and aligning with the organization’s agentic AI roadmap • Self-starter who thrives in ambiguity and drives initiatives without needing detailed direction • Deep understanding of deep learning and GPU training at scale, including distributed training • Strong grasp of LLM fine-tuning, including PEFT, LoRA and QLoRA, and agentic AI architecture • Familiarity with AWS ML and serverless services including SageMaker, Bedrock AgentCore, Lambda, EventBridge and ECS, Docker and Terraform • Experience leading agile teams and managing projects across several stakeholder groups • Excellent communication and ability to influence product, engineering and executive stakeholders • Bachelor's degree in computer science, statistics, math or a related field, or equivalent experience • Must successfully pass a background check • Must already be authorized to work in the United States on a full-time, permanent basis without current or future sponsorship • Preferred: experience building a data science or AI function from the ground up, startup or founder experience, presenting strategy to executive leadership, Master's or PhD in a quantitative field, familiarity with RAG, vector databases and agent frameworks, responsible AI practice, and owning cloud and GPU budgets

🏖️ Benefits

• Medical/Dental/Vision insurance • 401K company match • Flexible Paid Time Off • Paid parental leave • HSA/FSA options • Educational reimbursement program • Employer-paid EAP & Mental Health services

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