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Job description
Take the next step in your career and join our team!
Company Description
Every year, millions of seniors lapse or surrender their life insurance policies for little or no value in return from their insurance company.Life Settlementshelp seniors by giving them theoptionto sell their policy instead, receiving significantly more value than had they otherwise given up their policy. The money we pay seniors helps meet retirement needs, healthcare costs, long term care expenses, or whatever elsethey’dlike.
Lighthouse Lifeis a member of the growing group of companies owned by LHL Strategies, Inc. (“LHL” or “LHL Strategies”), providing vertically integrated services and solutions for asset managers toacquireand manage life policies and portfolios. Clients of the LHL companiesbenefitfrom working inside the industry’s only integrated platform for policy acquisition and trading, policy and portfolio valuation, management, and now, portfolio servicing.
Our atmosphereencourages innovation and collaboration throughout the organization. We promote a healthy work-life balance andhave createdan open and fun environment. That said, we are driven to exceed expectations and want to share our days with those who raise theirhand, step forward, and work hard.
Our compensation package is highly competitive for the position and includes comprehensive benefits as well as a flexible and generous PTO policy.
Lighthouse Lifeis a remote-first company. This role can belocatedanywhere within the U.S. withpotential fortravel for meetingsand/orother events.Lighthouse Life’s officesare located inConshohocken, Pennsylvania, less than 10 miles outside of the city of Philadelphia, and stepsfrom the regional commuter train line.
Job Description
We are seeking a Vice President of Data Science & AI to architect, build, and oversee our AI/ML capabilities across both internal initiatives and external vendor partnerships. This role is critical to LHL’s strategic vision of leveraging data science to enhance our competitive position in the life settlements market.
Reporting directly to the Executive Leadership Team, you will define and execute our data science strategy, build a high-performing team, and ensure our AI/ML investments deliver measurable business value. You willbe responsible forboth developing proprietary analytical capabilities and providing technical oversight of third-party data and AI solutions.
Responsibilities
Strategic Leadership
Define and execute LHL’s data science and AI strategy aligned with business objectives
Partner with executive leadership (CEO, COO, CBO, CFO) toidentifyhigh-impact AI/ML opportunities
Establish KPIs and success metrics for data science initiatives
Manage departmental budget and resource allocation
Report on AI/ML program progress and ROI to leadership
Architect scalable, production-grade AI/ML systems for life settlement analytics
Lead development of predictive models for:
Life expectancy (LE) enhancement and validation
Policy pricing optimization and bid strategy
Portfolio risk assessment and concentration analysis
Seller/advisor behavior and pipeline forecasting
EstablishMLOpspractices including model versioning, monitoring, and governance
Ensure responsible AI practices including bias detection, explainability, and compliance
Provide technical due diligence on AI/ML vendors and data providers
Evaluate and benchmark external LE providers and actuarial models
Oversee integration of third-party AI solutions into LHL’s technology stack
Negotiate technical requirements and SLAs with data vendors
Team Building & Development
Build and lead a high-performing data science team (hire, mentor, develop)
Foster a culture of innovation, collaboration, and continuous learning
Establish best practices for data science workflows, code quality, and documentation
Collaborate cross-functionally with Operations, Finance, Technology, and Business Development
Data Infrastructure & Governance
Partner with Technology team to ensure robust data infrastructure
Implement data governance frameworksappropriate forfinancial services
Ensure compliance with data privacy regulations and industry standards
Drive data quality initiatives across the organization
Knowledge and Experience
Education
Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, or related quantitative field
Master’s degree or PhD preferred
Experience
10+ years of progressive experience in data science, machine learning, or AI
5+ years in leadership roles managing data science teams
Experience deploying production ML systems at scale
Track recordof delivering measurable business impact through AI/ML
Technical Skills
Expertproficiencyin Python and SQL
Deepexpertisein machine learning algorithms, statistical modeling, and predictive analytics
Experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with modern data stack (Snowflake, Databricks, DBT, or similar)
Understanding ofMLOpstools and practices (MLflow, Kubeflow, SageMaker, or similar)
Domain Knowledge (Preferred)
Experience in financial services, insurance, or actuarial analytics
Familiarity with mortality/longevity modeling
Understanding of life settlements, life insurance, or related industries
Experience with regulatory compliance in financial services
Leadership & Soft Skills
Exceptional communication skills – ability to translate complex technical concepts for business audiences
Strategic thinking with strong business acumen
Proven ability to build, motivate, andretainhigh-performing teams
Experience managing vendor relationships and technical partnerships
Collaborative approach with ability to influence without direct authority
What Success Looks Like
First 90 Days:
Complete assessment of current data science capabilities and vendor landscape
Develop strategic roadmap and budget proposal
Begin building relationships across the organization
First Year:
Establish foundational data science team and processes
Deliver at least one production AI/ML system with measurable ROI
Implement model governance and monitoring framework
Complete vendor assessment and optimization recommendations
Base Salary: Competitive,commensuratewith experience
Bonus: Performance-based annual bonus
Remote Work: Flexible remote/hybrid arrangement
Personal Attributes
You are curiousbynature.
You have a bias for action.
You have superior time management and organizational skills.
You have good interpersonal skills.
You enjoy working in a fast-paced, fast-growing organization.
Youaren’tafraid to challenge the norm.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.