Solutions Delivery Manager - Policy Administration

Ideally looking for someone in the Austin, TX area; hybrid is ideal, but will consider flexible/remote for the right candidate.

Position Overview:
We are seeking a cloud-first, AI-forward Solutions Delivery Manager to join our Customer Solutions Delivery organization. Reporting to senior leadership, you will be responsible for driving the delivery of cloud-native technology solutions across key business domains. This role requires deep expertise in AWS services and a passion for leveraging artificial intelligence and machine learning to transform legacy operations into modern, intelligent, and scalable digital platforms.
As a domain leader, you will champion the adoption of AWS cloud-native architectures and AI/ML capabilities to modernize core systems, implement intelligent automation, and accelerate digital transformation. You will lead a team of cloud engineers and technical analysts while collaborating with business stakeholders to deliver innovative solutions that improve efficiency, scalability, and customer experience.

Key Responsibilities:

Cloud-Native Solution Delivery

• Lead AWS cloud-native implementations for critical business applications
• 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 predictive analytics and automation
• Implement intelligent document processing using Amazon Textract and Comprehend
• Deploy AI-driven models for decision support and forecasting using AWS AI services
• Leverage Amazon Bedrock and generative AI for customer interaction and 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 follow AWS security best practices including IAM, KMS, and Security Hub
• Drive Infrastructure as Code adoption using AWS CDK and CloudFormation

Business Partnership & Domain Leadership

• Serve as the primary technology partner for core business application areas
• Translate complex requirements into cloud-native, AI-enhanced solutions
• Partner with stakeholders to identify AI/ML use cases for automation and decision support
• Champion data-driven decision making through AWS analytics and BI tools

Team Management & Development

• Lead and mentor a team of 5 10 cloud engineers and 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 new AWS capabilities
• Collaborate with AWS solution architects and support teams for optimal outcomes

Cloud Operations & Excellence

• Implement monitoring and observability using CloudWatch, X-Ray, and DataDog
• Ensure high availability through multi-AZ deployments and auto-scaling
• 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 Audit Manager

Stakeholder Management

• Present 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 to showcase AI and cloud innovation opportunities

Qualifications
Required

• 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
• Extensive hands-on experience with AWS services across compute, storage, databases, and networking
• Proven expertise in cloud-native application development and microservices architecture
• Strong background implementing AI/ML solutions using AWS AI/ML services (SageMaker, Bedrock, etc.)
• Experience with serverless architectures and event-driven systems
• Proficiency in Infrastructure as Code using AWS CDK, CloudFormation, or Terraform
• Deep understanding of AWS security, compliance, and governance best practices
• Experience migrating legacy systems to AWS cloud
• Strong knowledge of business process workflows in enterprise applications
• Excellent communication skills with the ability to articulate cloud and AI value propositions

Preferred

• AWS Certifications: Solutions Architect Professional, Machine Learning Specialty, or DevOps Engineer
• Experience with Amazon Bedrock and generative AI applications
• Familiarity with AWS Lake Formation and building data lakes for analytics
• Experience with real-time streaming analytics using Kinesis and Kafka
• Background in AWS-based customer engagement and automation solutions
• Experience with large-scale enterprise application platforms
• Knowledge of AWS Partner Network solutions

Competencies

• Results-oriented with strong analytical and problem-solving skills
• Business acumen combined with technical depth
• Strong project management and stakeholder engagement abilities
• Team leadership and collaboration mindset
• Adaptability and flexibility in dynamic environments
• Continuous improvement and process optimization focus
• Excellent written and verbal communication skills
• Customer-focused decision making

#TECHIND