Senior Director, Data Science and AI Agents
Asurion Open At a glance
Director-level Data Science role at Asurion. San Mateo · full-time · no salary stated · we estimate $191,558–$259,750 across the United States.
Asurion has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Set a three-year AI plan for virtual agents, agent assistance and intelligent routing, including choices to build or buy
- Guide about twenty data scientists and machine learning practitioners, setting technical direction and strengthening their work
- Choose production AI designs across language models, retrieval, agent systems, evaluation and deployment
- Deliver virtual agents, real-time agent support and predictive routing that improve customer handling and agent decisions
- Set practices for AI testing, hallucination controls, monitoring, LLM operations, responsible use and ongoing experiments
What you bring
- At least twelve years leading applied AI, machine learning or data science teams that ship production systems
- An advanced degree in computer science, AI, machine learning, statistics or a related area, or equivalent experience
- Hands-on production work with retrieval-augmented generation, prompt design, AI evaluation, safeguards and LLM operations
- Experience shaping enterprise AI plans and partnering with software engineering teams to launch AI products at scale
Who this fits
This role suits a senior technical leader who can set AI architecture and strategy while coaching experienced practitioners. You’ll lead a team of about twenty and work with Product and Engineering. The role is open to remote work, with listed locations in San Mateo, Nashville and Sterling.
From the employer
Senior Director, Data Science and AI Agents
Location: San Mateo, CA · Nashville, TN · Sterling, VA
Open to remote
POSITION OVERVIEW
The Senior Director of Data Science leads the technical vision, strategy, and
execution for AI capabilities that power Asurion's next-generation customer
experience. Leading a team of approximately 20 highly skilled data scientists and machine learning practitioners, this leader provides deep technical direction
across production AI systems including conversational virtual agents, real-time
agent assist, and intelligent routing. Beyond delivery, the role serves as the
organization's AI thought leader—continuously evaluating emerging technologies, foundation models, agent architectures, and vendors to shape a three-year technology roadmap and build-versus-buy strategy. The role partners with Product and Engineering to deliver production AI systems while establishing best practices for AI evaluation, LLMOps, governance, and responsible AI. Success is measured by customer outcomes, agent productivity, sales enablement, operational efficiency, and the long-term technical health of the AI platform.
ESSENTIAL JOB SKILLS/DUTIES
• Define the long-term AI technology vision and three-year roadmap across
virtual agents, agent assist, and intelligent routing, including build-versus-buy
decisions.
• Provide technical leadership and mentorship to a team of ~20 experienced data
scientists and ML/GenAI practitioners, raising engineering and scientific rigor.
• Lead AI architecture decisions spanning LLMs, RAG, agentic AI, evaluation
frameworks, orchestration, and production deployment.
• Drive customer-facing virtual agents that gather information, resolve issues,
detect sentiment, avoid hallucinations, and seamlessly escalate with full
conversational context.
• Deliver real-time AI agent assist capabilities including knowledge retrieval,
next-best action, desktop guidance, call summarization, and sales recommendations.
• Develop predictive routing and decision intelligence that matches customers to the optimal resource using intent, history, agent skills, and business outcomes.
• Establish standards for AI evaluation, hallucination mitigation, observability,
LLMOps, Responsible AI, and continuous experimentation.
• Continuously evaluate emerging AI research, vendors, and platforms to ensure
Asurion adopts scalable technologies and avoids dead-end architectures.
• Represent Asurion externally through industry events, technical conferences,
and thought leadership while building relationships across the AI ecosystem.
REQUIRED TECHNICAL SKILLS
• Deep expertise in Large Language Models (LLMs), agentic AI, conversational AI, and voice AI.
• Production experience with RAG, prompt engineering, AI evaluation, guardrails,
hallucination mitigation, and LLMOps.
• Strong background in machine learning, predictive modeling, optimization,
recommendation systems, and intelligent routing.
• Experience evaluating foundation models and AI vendors and making build-
versus-buy technology recommendations.
• Cloud AI platforms and modern AI frameworks.
• Production AI architecture, experimentation, monitoring, and governance.
REQUIRED LEADERSHIP SKILLS
• Recognized technical thought leader with the ability to communicate complex
AI concepts to executives, customers, and industry audiences.
• Technical coaching and mentorship for senior data scientists and ML practitioners.
• Strategic technology planning and architectural decision making.
• Cross-functional influence with Product and Engineering organizations.
• Executive presence and public speaking at conferences and customer events.
REQUIRED EDUCATION & EXPERIENCE
• Advanced degree in Computer Science, AI, Machine Learning, Statistics, or
related field, or equivalent experience.
• 12+ years leading applied AI, machine learning, or data science teams delivering production systems.
• Experience defining enterprise AI strategies and technology roadmaps.
• Experience partnering with software engineering organizations to deploy AI
products at scale.
PREFERRED EDUCATION & EXPERIENCE
• PhD or Master's in AI, Computer Science, Machine Learning, or related
discipline.
• Experience leading AI organizations within product development environments.
• Recognized contributions to the AI community through publications, conference presentations, open-source projects, or industry leadership.
PREFERRED LICENSES/CERTIFICATIONS
• AI/ML certifications from major cloud providers or leading AI platforms.
• Demonstrated expertise in production AI, LLMOps, or Responsible AI
frameworks.
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.