Senior Manager, Data Science

The role

You will set the vision for how Xsolis uses predictive, generative and agentic AI, and build and lead the team that delivers it. You will take ideas from concept to production and guide model, LLM and agent decisions alongside product and engineering teams.

What you will do

• Define a multi-year vision and roadmap for data science, ML and agentic AI, tied to business goals.
• Identify where AI creates the most value and make the case to leadership for where to invest.
• Turn loosely defined ideas into scoped bets with clear goals, milestones and success metrics.
• Move from concept to prototype to production, and own outcomes end to end.
• Build, hire, mentor and grow a team of data scientists and ML engineers.
• Set standards and review designs for deep learning training, including GPU and distributed training.
• Guide LLM strategy, including prompting, RAG and fine-tuning with LoRA and QLoRA.
• Shape architecture for agentic systems on AWS and champion MLOps practices.
• Set guardrails for safe, responsible AI, including agent permissions, data privacy and human review.
• Partner with product, data engineering and platform leaders, and communicate results to executives.

Required qualifications

• 8+ years in data science or ML, including 3+ years leading teams of data scientists or ML engineers and experience building agentic systems.
• A track record of setting a technical vision and delivering it, ideally taking AI products or capabilities from idea to production.
• Strong understanding of practical deployment of agents to production using AgentCore.
• A self-starter who thrives in ambiguity and drives initiatives without detailed direction.
• Deep understanding of deep learning and GPU training at scale, including distributed training.
• Strong grasp of LLM fine-tuning (PEFT, LoRA, QLoRA) and agentic AI architecture.
• Familiarity with AWS ML and serverless services (SageMaker, Bedrock AgentCore, Lambda, EventBridge, ECS), Docker and Terraform.
• Experience leading agile teams and managing projects across several stakeholder groups.
• An excellent communicator who can influence product, engineering and executive stakeholders.
• Bachelor's degree in computer science, statistics, math or a related field, or equivalent experience.
• Ability to pass a background check and to work under a security role with access to sensitive information, including proprietary data and PHI.
• Work authorization to work in the United States full-time and permanently, without current or future sponsorship.

Nice to have

• Experience building a data science or AI function from the ground up, or startup or founder experience.
• Experience presenting strategy to executive leadership.
• Master's or PhD in a quantitative field.
• Familiarity with RAG, vector databases and agent frameworks such as LangGraph, Strands Agents or MCP.
• Responsible AI practice: bias testing, safety evaluations and data governance.
• Experience owning cloud and GPU budgets.

Benefits

• Medical, dental and vision insurance.
• 401K company match.
• Flexible paid time off.
• Paid parental leave.
• HSA/FSA options.
• Educational reimbursement program.
• Employer-paid EAP and mental health services.

Before you apply

• No visa sponsorship or immigration support is provided for this position.
• All candidates must pass a background check.

About the company

Xsolis is an AI-driven technology company that reduces administrative waste in healthcare through collaboration between providers and payers. Its flagship product, Dragonfly, assigns real-time predictive scores for medical necessity to 600+ hospital, health system and health plan clients.