EY-Parthenon
EY-Parthenon - Strategy and Execution - Growth Platforms - DevOps & Platform Arc
EY-Parthenon, Denver, Colorado, United States, 80285
EY-Parthenon - Strategy and Execution - Growth Platforms - DevOps & Platform Architecture - Director
Join EY-Parthenon as a Director in the EY Growth Platforms DevOps & Platform Architecture team. The team collaborates with Business Leaders, AI/ML Engineers, Data Scientists, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. The EY Growth Platforms DevOps & Platform Architecture Director will play a critical role in building the scalable, secure, and privacy-compliant architecture required to deploy intelligent agents to clients. The Director will define the technical backbone of a platform that ingests sensitive data, applies ML/AI pipelines, and exposes actionable insights to clients via dashboards, APIs, or real-time agents. Your Key Responsibilities Define and implement scalable infrastructure for secure ingestion, storage, and orchestration of external data. Design architecture for modular, multi-agent workflows and persistent data layers (vector stores, relational DBs, object storage). Lead infrastructure setup across environments (CI/CD, containerization, IaC, observability). Ensure compliance with relevant security/privacy frameworks (SOC2, HIPAA, GDPR depending on data source). Architect integrations across AI pipelines, dashboards (e.g., Streamlit, PowerBI), and external API delivery systems. Collaborate with AI and Data Engineering leads to operationalize prototypes into high-reliability systems. To qualify for the role, you must have A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. DevOps or cloud platform experience in data or AI-centric environments. Deep knowledge of CI/CD, IaC (Terraform/CDK), Kubernetes, containerization, and monitoring stacks. Experience building multi-tenant cloud systems with strict access controls. Hands-on with data privacy tooling (data masking, encryption, audit trails). Comfortable supporting Python-based ML workflows (API frameworks like FastAPI, Flask, etc.). Excellent judgment around buy-vs-build tradeoffs and third-party component integration. The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you’ll also have Experience working in a startup and/or management/strategy consulting. Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. Collaborative, problem-solving, and growth-oriented mindset. What We Offer You We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. EY is an equal opportunities employer and welcomes applications from all candidates. We are committed to providing reasonable accommodation to qualified individuals with disabilities.
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Join EY-Parthenon as a Director in the EY Growth Platforms DevOps & Platform Architecture team. The team collaborates with Business Leaders, AI/ML Engineers, Data Scientists, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. The EY Growth Platforms DevOps & Platform Architecture Director will play a critical role in building the scalable, secure, and privacy-compliant architecture required to deploy intelligent agents to clients. The Director will define the technical backbone of a platform that ingests sensitive data, applies ML/AI pipelines, and exposes actionable insights to clients via dashboards, APIs, or real-time agents. Your Key Responsibilities Define and implement scalable infrastructure for secure ingestion, storage, and orchestration of external data. Design architecture for modular, multi-agent workflows and persistent data layers (vector stores, relational DBs, object storage). Lead infrastructure setup across environments (CI/CD, containerization, IaC, observability). Ensure compliance with relevant security/privacy frameworks (SOC2, HIPAA, GDPR depending on data source). Architect integrations across AI pipelines, dashboards (e.g., Streamlit, PowerBI), and external API delivery systems. Collaborate with AI and Data Engineering leads to operationalize prototypes into high-reliability systems. To qualify for the role, you must have A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. DevOps or cloud platform experience in data or AI-centric environments. Deep knowledge of CI/CD, IaC (Terraform/CDK), Kubernetes, containerization, and monitoring stacks. Experience building multi-tenant cloud systems with strict access controls. Hands-on with data privacy tooling (data masking, encryption, audit trails). Comfortable supporting Python-based ML workflows (API frameworks like FastAPI, Flask, etc.). Excellent judgment around buy-vs-build tradeoffs and third-party component integration. The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you’ll also have Experience working in a startup and/or management/strategy consulting. Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. Collaborative, problem-solving, and growth-oriented mindset. What We Offer You We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. EY is an equal opportunities employer and welcomes applications from all candidates. We are committed to providing reasonable accommodation to qualified individuals with disabilities.
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