Full Time
Director - Data & AI Solutions - Financial Services, Actuarial - REMOTE
Ladders
Full-time
Financial Services
United States
Remote!
???* / year
Job Description
For our client, we are seeking a Director - Data & AI Solutions - Financial Services, Actuarial - REMOTE to join the team of a leader in the Finance & Insurance space.
This leadership role will guide the evolution of data and AI capabilities in support of actuarial priorities and broader financial services objectives. You will work closely with actuarial leaders and cross-functional stakeholders to identify high-impact opportunities, modernize legacy processes, and shape cloud-native solutions that improve efficiency and decision-making. The role combines enterprise data architecture, AI enablement, and governance oversight with the need to translate complex technical concepts for both executive and technical audiences.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $122,000 – $182,000 annually
Responsibilities
This leadership role will guide the evolution of data and AI capabilities in support of actuarial priorities and broader financial services objectives. You will work closely with actuarial leaders and cross-functional stakeholders to identify high-impact opportunities, modernize legacy processes, and shape cloud-native solutions that improve efficiency and decision-making. The role combines enterprise data architecture, AI enablement, and governance oversight with the need to translate complex technical concepts for both executive and technical audiences.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $122,000 – $182,000 annually
Responsibilities
- Partner with actuarial leaders and stakeholders to prioritize data and technology opportunities
- Modernize legacy processes into cloud-native, AI-enabled solutions
- Design and govern modern data platforms using technologies like Snowflake and AWS
- Establish standards for data quality, governance, and security
- Identify opportunities to apply AI and automation for improved efficiency
- Lead discovery sessions and architecture reviews for technology evaluations
- Communicate complex technical concepts to both executive and technical audiences
- Bachelor’s degree in computer science, engineering, information systems, or a related field preferred
- 10+ years of hands-on experience in data architecture, data engineering, and analytics
- 5+ years designing and implementing cloud-native data platforms using Snowflake, Databricks, and AWS
- 3+ years delivering AI and machine learning solutions in production environments
- Strong expertise in modern data platform architecture and cloud-native design principles
- Medical, dental, and vision insurance
- Life insurance and short- and long-term disability coverage
- Minimum of 18 days paid time off per year, pro-rated quarterly
- Nine paid holidays and additional paid time off for special occasions
- 401(k) with company match and a company-paid pension plan
- Business casual attire and a supportive work environment
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