10+ years professional experience in building machine learning/predictive models (advanced education may be considered in lieu of experience)
Demonstrated expertise in statistics, mathematics, machine learning, optimization, model development, operationalization, scalability, and working with large structured and unstructured datasets
Formal people leadership experience, coaching talent, and building a culture of commitment and accountability
Experience working with modern programming languages, machine learning libraries, big-data technologies, and cloud platforms
Strong technical judgment with the ability to evaluate emerging AI, machine learning, and data science technologies, determine the best approach for a business problem, and guide solutions from concep
Passion for continuous learning, experimentation, and staying ahead of rapidly evolving AI and modeling trends, with a practical focus on delivering measurable business outcomes
Strong leadership and influencing skills, with the ability to drive change, navigate ambiguity, and partner across Product Management, Engineering, IT, and business teams to deliver scalable solutions
Full description
What You'll Do
We’re looking for a Director of Data Science to lead our Beam Benefits Decision Science team within our Benefits & Protection insurance space. In this role, you’ll guide a highly technical team working across generative AI, machine learning, predictive modeling, and advanced analytics while helping scale innovative solutions.
This is a unique opportunity to combine accelerated innovation and build opportunities with the stability, resources, and scale of an established organization. You'll help shape how emerging AI, machine learning, and advanced modeling capabilities are applied to meaningful business challenges, transforming ideas into scalable, production-ready solutions that drive measurable impact across the enterprise.
You’ll have the opportunity to
Lead, develop, and support a team of data scientists focused on generative AI research and development, machine learning, predictive modeling, and quantitative techniques
Set the technical direction for the team, staying current on emerging AI and machine learning models, tools, and approaches and determining how they can be applied to real business opportunities
Guide multiple projects from problem definition and model design through validation, deployment, monitoring, and continued enhancement
Oversee the development of custom AI and data science solutions that use structured and unstructured data, APIs, custom prompts and models, and application integrations
Partner with Product Management, Engineering, IT, business operations, and senior leaders to identify high-value opportunities and translate technical capabilities into practical business outcomes
Establish expectations and measures for model performance, production readiness, scalability, adoption, and ongoing business value
Stabilize and strengthen a high-performing team during an important period of growth and integration
Promote a practical, applied approach to data science by prioritizing solutions that can be scaled and used across the business
Operating at the intersection of financial services and technology, Principal builds financial tools that help our customers live better lives. We take pride in being a purpose-led firm, motivated by our mission to make financial security accessible to all. Our mission, integrity, and customer focus have made us a trusted leader for more than 140 years.
Who You Are
Bachelor’s Degree
10+ years professional experience in building machine learning/predictive models (advanced education may be considered in lieu of experience)
Demonstrated expertise in statistics, mathematics, machine learning, optimization, model development, operationalization, scalability, and working with large structured and unstructured datasets
Director of Data Science at Principal Financial Group (Remote) — aijobsearch
Formal people leadership experience, coaching talent, and building a culture of commitment and accountability
Experience working with modern programming languages, machine learning libraries, big-data technologies, and cloud platforms
Strong technical judgment with the ability to evaluate emerging AI, machine learning, and data science technologies, determine the best approach for a business problem, and guide solutions from concept through production
Passion for continuous learning, experimentation, and staying ahead of rapidly evolving AI and modeling trends, with a practical focus on delivering measurable business outcomes
Strong leadership and influencing skills, with the ability to drive change, navigate ambiguity, and partner across Product Management, Engineering, IT, and business teams to deliver scalable solutions
Skills That Will Help You Stand Out
Master’s degree or PhD
Experience developing custom generative AI or LLM solutions using APIs, custom prompts or models, MCP servers, and application integrations
Experience in a high-growth or builder-oriented environment where you helped move emerging technology into production
Knowledge of insurance, financial services, group benefits, or another highly regulated industry
Salary Range Information
Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
Salary Range (Non-Exempt expressed as hourly; Exempt expressed as yearly)
$165000 - $210000 / year
Time Off Program
Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don’t accrue a bank of time off under FTO and there is no set number of days provided.
Pension Eligible
Yes
Work Environments
This role offers in-office, hybrid (blending at least three office days in a typical workweek), and remote work arrangements (only if residing more than 30 miles from Des Moines, IA, Charlotte, NC, and Raleigh, NC). You’ll work with your leader to figure out which option may align best based on several factors.
Work Authorization/Sponsorship
At this time, we're not considering applicants that need any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please use the following links.
Nonimmigrant Workers and Green Card for Employment-Based Immigrants
Investment Code of Ethics
For Principal Asset Management positions, you’ll need to follow an Investment Code of Ethics related to personal and business conduct as well as personal trading activities for you and members of your household. These same requirements may also apply to other positions across the organization.
Experience Principal
At Principal, we value connecting on both a personal and professional level. Together, we’re imagining a more purpose-led future for financial services – and that starts with you. Our success depends on the unique experiences, backgrounds, and talents of our employees. And we support our employees the same way we support our customers: with comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being. Check out our careers site to learn more about our purpose, values and benefits.
Principal is an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Posting Window
We will accept applications for 3 full days following the Original Posting Date, after which the posting may remain open or be removed based upon applications received. If we choose to post the job again, we will accept additional applications for at least 1 full day following the Most Recently Posted Date. Please submit applications in a timely manner as there is no guarantee the posting will be available beyond the applicable deadline.
Original Posting Date
10/9/2026
Most Recently Posted Date
10/9/2026
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