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# Director, Data Science

- **Company:** CareerCircle
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $108,501.0 - $195,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Python (Programming Language), SQL Databases, Generative AI, Information Technology, Data Analytics, Machine Learning Operations, Front End Software Development, Dataiku
- **Published:** July 26, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/nc/charlotte/17dfeaef-1139-492b-8d65-92eaae6bf58b

## About the Role

*8+ years of progressive experience in analytics, spanning areas such as data science, data engineering, analytics engineering, and data storytelling.
*Demonstrated experience leading, mentoring, and developing analytical talent.
*Strong proficiency in SQL and Python.
*Hands-on command of the end-to-end modeling lifecycle, from requirements gathering through deployment, monitoring, and validation.
*Experience establishing or operating MLOps practices, model governance, and data science standards.
*Exceptional communication and organizational skills - able to translate complex technical work for non-technical audiences, manage competing priorities, and keep stakeholders aligned.
*A genuine passion for developing people, building durable frameworks, and connecting technical work to measurable business and risk-management value.

Preferred
*Insurance industry experience - in actuarial science, business intelligence and reporting, data science, or a closely related analytical discipline.
*Master's, Ph.D. or Other Credentials in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, Economics, or a similar analytical field - or equivalent experience.
*Familiarity with group benefits products (disability, absence, group life, or supplemental health) and the operational realities of insurance functions.
*Experience with Dataiku.
*Exposure to generative AI solutions and their practical deployment in a business setting.
*Experience working at the intersection of data science, actuarial science, and business intelligence teams.

## Description

Finance
Tooling
Marketing
Economics
Annuities
Pipelines
Leadership
Mentorship
Governance
Statistics
Wholesaling
Fundraising
Data Science
Underwriting
Communication
Tax Accounting
Risk Management
Social Security
Computer Science
Data Engineering
Virtual Training
Advanced Analytics
Insurance Industry
Applied Mathematics
Organizational Skills
Solution Architecture
Business Intelligence
Artificial Intelligence
Employment Applications
Training And Development
Requirements Elicitation
SQL (Programming Language)
Employee Assistance Programs
Health And Wellness Coaching
Front End (Software Engineering)
Generative Artificial Intelligence
MLOps (Machine Learning Operations), *Lead, coach, and grow the team - Manage a small team of data scientists across different levels and career stages, developing them technically and professionally and unlocking the full potential of an already strong group.
*Champion the work to every audience - Serve as the bridge between deeply technical disciplines and business stakeholders, translating complex analytical work into clear narratives and confident decisions for non-technical partners across Claims, Finance, and beyond.
*Drive strategic analytics initiatives - Own delivery of high-priority, multi-month and multi-year programs across Group Protection, with a primary focus on Claims and selective expansion into Underwriting, Finance, and Distribution as opportunities arise.
*Build the practices and governance framework - Translate enterprise standards into a repeatable framework for documentation, validation, and governance - removing a key bottleneck so the team can create value consistently and at scale.
*Mature the MLOps practice - Establish and evolve a robust MLOps framework spanning model development, deployment, monitoring, and iteration, so the team ships reliable solutions faster.
*Build for reuse and scale - Develop reusable data assets, code and feature libraries, pipelines, and methodological frameworks that compound the team's velocity - turning one-off solutions into durable building blocks that accelerate future work and unlock higher ROI.
*Infuse data science across our work - Work hands-on alongside the team to inject targeted data science techniques - including data engineering, pipelines, and solution architecture that moves data between front-end user solutions and back-end data tables - into analytics and AI initiatives, in close partnership with other technical and business groups.
*Innovate continuously - Explore emerging modeling techniques, generative AI, new data sources, and tooling, bringing best practices that continually evolve how the team works., This position may be subject to Lincoln's Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln's current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.

Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees.

Lincoln Financial ("Lincoln" or "the Company") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558.

This Employer Participates in E-Verify. See the E-Verify notices.

Este Empleador Participa en E-Verify. Ver el E-Verify avisos.
Related Jobs
Director, Data Science
Lincoln Financial

Charlotte, NC*On-Site

Sales
Gmail
Finance
Tooling
Marketing
Economics
Annuities
Pipelines
Leadership
Mentorship
Governance
Statistics
Wholesaling
Fundraising
Data Science
Underwriting
Communication
Tax Accounting
Risk Management
Social Security
Computer Science
Data Engineering
Virtual Training
Advanced Analytics
Insurance Industry
Applied Mathematics
Organizational Skills
Solution Architecture
Business Intelligence
Artificial Intelligence
Employment Applications
Training And Development
Requirements Elicitation
SQL (Programming Language)
Employee Assistance Programs
Health And Wellness Coaching
Front End (Software Engineering)
Generative Artificial Intelligence
MLOps (Machine Learning Operations)


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