Job Title: Delivery Manager – AWS, DevOps, Data & Generative AI
Location: Chicago
Job Summary:
As the Delivery Manager, you will be responsible for overseeing the successful delivery of complex technology projects with a focus on AWS, DevOps, Data Engineering, and Generative AI solutions. You will lead a cross-functional team and ensure that all client requirements are met while maintaining a high standard of service. The ideal candidate will possess strong leadership skills, deep technical expertise, and experience in DevOps automation tools, with a preference for Harness, alongside a focus on generative AI capabilities.
Key Responsibilities:
- Lead, manage, and oversee the delivery of multiple projects across AWS, DevOps, and AI domains.
- Ensure all projects meet customer expectations in terms of scope, quality, time, and cost.
- Collaborate with the sales and presales teams to define the solution delivery roadmap.
- DevOps & Cloud Management:
- Oversee the implementation and optimization of CI/CD pipelines using tools such as Harness (preferred), Jenkins, Docker, and Kubernetes.
- Drive cloud adoption strategies across AWS, ensuring infrastructure scalability, security, and cost-effectiveness.
- Lead infrastructure automation, monitoring, and performance tuning for continuous integration and delivery.
- Data Engineering & Generative AI:
- Provide oversight for data pipelines and data platform management, ensuring robust ETL processes.
- Collaborate with data science teams to deliver scalable AI/ML models, particularly leveraging generative AI frameworks.
- Ensure the integration of data solutions into cloud-native architectures on AWS.
- Client & Stakeholder Management:
- Build and maintain strong relationships with clients, acting as a trusted advisor for their cloud and data strategy.
- Collaborate with stakeholders to define business outcomes and delivery expectations, ensuring alignment with technical execution.
- Team Leadership & Mentorship:
- Build, mentor, and manage high-performing teams of engineers, DevOps professionals, and data scientists.
- Foster a culture of innovation and continuous improvement through coaching and the adoption of best practices.
- Stay ahead of industry trends in DevOps, cloud, and AI technologies, especially in generative AI.
- Develop strategies for process automation, infrastructure as code (IaC), and advanced analytics.
Key Skills & Qualifications:
- Cloud Expertise: Deep expertise in AWS cloud architecture, services (EC2, S3, Lambda, RDS), and cost management.
- DevOps Mastery: Experience with CI/CD, version control, infrastructure automation, and DevOps toolchains (Harness preferred).
- Generative AI Knowledge: Strong understanding of generative AI, NLP, GPT models, and their application in enterprise environments.
- Data Engineering: Knowledge of data pipeline orchestration, ETL processes, and distributed data systems.
- Leadership Experience: Proven track record in leading delivery teams, with strong project management and client-facing experience.
- Communication: Excellent communication and stakeholder management skills.
- Certifications: AWS Certified Solutions Architect, DevOps certification (preferred), Generative AI certifications a plus.
Preferred Tools & Technologies:
- DevOps: Harness, Jenkins, Docker, Kubernetes, Terraform, Ansible.
- Cloud: AWS (Lambda, EC2, S3, RDS, etc.).
- Data: Apache Spark, Kafka, Redshift, Snowflake.
- AI: GPT, PyTorch, TensorFlow, OpenAI models.
