Solutions Delivery Manager - Policy Administration

SOLUTIONS DELIVERY MANAGER - POLICY ADMINISTRATION
(Full Time, Salary, Exempt)

Looking to join a growing company dedicated to helping others? We offer that, plus competitive salaries, a culture of learning, and a fast-paced environment. This is a hybrid position with 3 days in-office. Join our team to help make a difference in the lives of others! 

About Continental General:

The Continental General family of companies has provided insurance, including life and long-term care policies, to individuals and groups for over 30 years, and currently supports over 100,000 policyholders. Both our insurance company, Continental General Insurance Company, and our third-party administrator, Continental General Services, are committed to the continuous development of our infrastructure, processes, and people. The group is actively growing through expansion of both its insurance portfolio and its administrative services. With each opportunity, we take a collaborative approach to address challenges and provide unique solutions.

Position Overview:

We are seeking a cloud-first, AI-forward Solutions Delivery Manager - Policy Administration to join our Customer Solutions Delivery organization. Reporting to the Assistant Vice President of Customer Solutions Delivery, you will be responsible forleading the delivery of cloud-native technology solutions specifically focused on our policy administration and claimsprocessing business domains. This critical role requires deep expertise in AWS services and a passion for leveraging artificial intelligence and machine learning to transform traditional insurance operations into modern, intelligent, andscalable digital platforms.
 

As the domain expert for policy administration and claims technology, you will champion the adoption of AWS cloud-native architectures and AI/ML capabilities to revolutionize how we process policies and handle claims. You will lead a team of cloud engineers and technical analysist while collaborating closely with business stakeholders to modernize egacy systems, implement intelligent automation, and drive continuous innovation through emerging AI technologies.This position offers the opportunity to directly impact operational efficiency and customer satisfaction through cutting-edge cloud and AI solutions.

Key Responsibilities:

Cloud-Native Solution Delivery

• Lead AWS cloud-native implementations for policy administration and claims processing systems
• Design and deliver serverless architectures using AWS Lambda, API Gateway, and EventBridge
• Implement microservices-based solutions leveraging Amazon ECS/EKS and AWS Fargate
• Drive containerization initiatives and orchestrate deployments using AWS native services
• Ensure solutions maximize AWS Well-Architected Framework principles

AI/ML Integration & Innovation

• Spearhead AI/ML initiatives using Amazon SageMaker for claims fraud detection and automated adjudication
• Implement intelligent document processing using Amazon Textract and Comprehend for policy and claimsdocuments
• Deploy predictive analytics models for risk assessment and claims forecasting using AWS AI services
• Leverage Amazon Bedrock and generative AI for customer service automation and policy recommendation engines
• Build ML pipelines for continuous model training, deployment, and monitoring

AWS Technology Leadership

• Guide architecture decisions leveraging AWS managed services (RDS, DynamoDB, S3, Kinesis)
• Implement event-driven architectures using Amazon EventBridge and SNS/SQS
• Ensure solutions utilize AWS security best practices including IAM, KMS, and AWS Security Hub
• Drive Infrastructure as Code adoption using AWS CDK and CloudFormation

Domain Expertise & Business Partnership

• Serve as the primary technology partner for policy administration and claims business units
• Translate complex business requirements into cloud-native, AI-enhanced technical solutions
• Partner with business leaders to identify AI/ML use cases for process automation and decision support
• Champion data-driven decision making through AWS analytics and business intelligence tools

Team Management & Development

• Lead and mentor a team of 5-10 cloud engineers and technical analysts
• Build team expertise in AWS services, cloud-native development, and AI/ML technologies
• Foster a culture of cloud-first thinking and continuous experimentation with emerging AWS services
• Coordinate with AWS solution architects and support teams for optimal resource utilization

Cloud Operations & Excellence

• Implement AWS monitoring and observability using CloudWatch, X-Ray, and DataDog
• Ensure 99.9% availability through multi-AZ deployments and AWS auto-scaling capabilities
• Optimize AWS costs through Reserved Instances, Savings Plans, and right-sizing initiatives
• Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy
• Maintain compliance using AWS Config, CloudTrail, and AWS Audit Manager

Stakeholder Management

• Present AWS cloud migration strategies and AI roadmaps to senior management
• Collaborate with AWS account teams and solution architects for technical guidance
• Manage cloud spending and demonstrate ROI of AWS investments
• Facilitate workshops on AI art of the possible using AWS services

Required Qualifications: 

• Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)
• 7 years of technology experience, with at least 3 years in a leadership role within insurance or financial services
• Extensive hands-on experience with AWS services including compute, storage, databases, and networking
• Proven expertise in cloud-native application development and microservices architecture on AWS
• Strong background in implementing AI/ML solutions using AWS AI/ML services (SageMaker, Bedrock, etc.)
• Experience with serverless architectures and event-driven systems on AWS
• Proficiency in Infrastructure as Code using AWS CDK, CloudFormation, or Terraform
• Deep understanding of AWS security, compliance, and governance best practices
• Experience migrating legacy insurance systems to AWS cloud
• Strong knowledge of policy administration and/or claims processing workflows
• Excellent communication skills with ability to articulate cloud and AI value propositions

Preferred Qualifications:

• AWS Certifications: Solutions Architect Professional, Machine Learning Specialty, or DevOps Engineer
• Experience with Amazon Bedrock and generative AI applications in insurance
• Knowledge of AWS industry-specific solutions for insurance and financial services
• Familiarity with AWS Lake Formation and building data lakes for insurance analytics
• Experience with real-time streaming analytics using Kinesis and Kafka on AWS
• Background in implementing AWS Contact Center solutions for claims and customer service
• Experience with LA&H policy administration platforms
• Knowledge of AWS Partner Network solutions for insurance

Competencies:

• Results-oriented
• Strong analytical and problem-solving abilities
• Business acumen
• Technical proficiency
• Project management
• Stakeholder engagement
• Team collaboration
• Adaptability and flexibility
• Process improvement mindset
• Strong written and verbalcommunication
• Customer focus
• Decision-making skills

Why Join Us?

• Competitive salary and benefits, including 401(k), health insurance, and performance-based bonuses.
• Collaborative and fast-paced work environment.
• Professional development and growth opportunities within the finance and investment space.

Benefits:

• Competitive Salary & Target Bonus Program
• Retirement Savings – 401(k) with a company match
• Comprehensive Medical insurance through BlueCross BlueShield of Texas. Company-paid dental, vision, short-term & long-term disability, and life insurance.
• Work-Life Balance – This role offers 25 days of PTO, 10 paid holidays, and paid volunteer time off.
• Flexible Work Options & Perks – Hybrid opportunity, wellness programs, and weekly paid lunch for onsite staff.
• Health Savings Accounts (HSA) & Flexible Spending Accounts (FSAs) – Includes a company match for HSAs.

Pre-Employment Screening Notice:
All potential hires are subject to a comprehensive pre-employment screening process, which includes verification of employment history, education credentials, professional references, and a drug screen. 

Salary : $150,000 - $165,000