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Lead Data Scientist- BI & Data Strategy

Job in Irvine, Orange County, California, 92713, USA
Listing for: Alliant Insurance Services
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 160000 - 260000 USD Yearly USD 160000.00 260000.00 YEAR
Job Description & How to Apply Below

Alliant Insurance Services is one of the nation's largest and fastest‑growing insurance brokerage and consulting firms. We operate through a network of specialized national platforms and local offices to offer our clients a comprehensive portfolio of solutions built on innovative thinking and personal service. Alliant is changing the way our clients approach risk management and benefits, so they can capitalize on new opportunities to grow and protect their organizations.

More information is available on the company's website at:

SUMMARY

Responsible for serving as the senior technical leader for data science and machine learning initiatives, providing architectural guidance, technical direction, and mentorship across the organization. Leads complex AI and analytics programs, establishes technical standards and best practices, and partners closely with leadership to drive innovation and business value. Utilizes deep technical expertise and strong leadership capabilities to build scalable enterprise‑grade AI solutions.

ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Helps define and advance the organization's AI, machine learning, and data science strategy.
  • Identifies and champions innovative AI solutions that deliver measurable business value.
  • Provides technical leadership and mentorship to the Data Science team across multiple initiatives.
  • Establishes and promotes standards, methodologies, and best practices for the Data Science team.
  • Supports talent development and technical growth within the organization.
  • Leads architecture and technical design efforts for enterprise AI, machine learning, and analytics solutions.
  • Defines solution patterns, frameworks, and technical standards for scalable AI development.
  • Acts as the primary technical lead on complex and high‑impact initiatives.
  • Leads the design and implementation of agentic AI systems, intelligent assistants, and workflow automation solutions.
  • Establishes best practices for orchestration, tool integration, and autonomous AI workflows.
  • Leads the development of advanced machine learning models, predictive analytics solutions, and AI applications.
  • Oversees technical quality, model performance, and delivery across major initiatives.
  • Drives the transition of AI solutions from experimentation to production deployment.
  • Partners with engineering teams to establish standards for MLOps, monitoring, scalability, and operational excellence.
  • Leads strategic analytics and automation initiatives that improve organizational effectiveness and decision‑making.
  • Develops frameworks and reusable capabilities that accelerate delivery of AI and analytics solutions.
  • Ensures adherence to AI governance, security, compliance, and responsible AI standards.
  • Provides technical oversight for model validation, risk management, and solution review processes.
  • Partners with business and technology leaders to shape AI initiatives and solution priorities.
  • Communicates technical strategy, architectural decisions, and business impacts to executive and operational stakeholders.
QUALIFICATIONS

To be considered for this role, a candidate must meet one of the following education or experience requirements:

EDUCATION / EXPERIENCE
  • Bachelor's Degree in IT Management, Computer Science, Data Science, Engineering, or a related field; or an equivalent combination of education and experience.
  • Master's Degree in IT Management, Computer Science, Data Science, Engineering, or a related field.
  • Seven (7) or more years of experience in Data Science, Machine Learning, Artificial Intelligence, Analytics, or related disciplines.
SKILLS
  • Strong knowledge of machine learning, statistical modeling, predictive analytics, and AI solution architecture.
  • Advanced proficiency in Python, SQL, and modern AI/ML frameworks.
  • Strong problem solving and communication skills.
  • Proven ability in leading enterprise‑scale AI and machine learning initiatives.
  • Ability to design and deploy production grade AI solutions.
  • Ability to mentor technical teams and lead cross‑functional initiatives.

We are proud to provide comprehensive, high‑quality employee programs to meet employees' needs now and in the future, including a very competitive financial package. We encourage…

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