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Consulting - Managed Services - AI, IT and Automation Senior Manager

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: EY
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 151500 - 346000 USD Yearly USD 151500.00 346000.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

Location:

Anywhere in Country

Managed Services AI, IT & Automation Architect (Senior Manager) Opportunity
  • Orchestrate the tooling story: bring together AI/ML platforms, automation technologies, Dev Sec Ops , ITSM, and observability into a coherent, supportable managed services ecosystem.
  • Create a compelling framework: define a practical, repeatable AI‑led Managed Services Framework that clients can adopt to scale with confidence, governance, and cost transparency.
Key Responsibilities
  • Client Advisory & Value Design
    • Lead client discovery sessions, platform assessments, and tooling rationalization workshops across AI, automation, and IT operations.
    • Translate business objectives into managed service architectures, platform roadmaps, and operating models.
    • Develop business cases (TCO/ROI) and outcome‑based value narratives tied to cost reduction, resiliency, speed, and risk mitigation.
    • Present executive‑level recommendations explaining tooling choices, trade‑offs, and long‑term sustainability.
  • Reference Architecture & Framework Development
    • Design, document, and evolve EY’s AI‑Led Managed Services Framework covering strategy & value, process & ITIL v4, platform & integration, AI & automation, security & risk, SRE & observability, and Fin Ops.
    • Produce reference architectures, decision matrices, control catalogs, and reusable accelerators.
  • Platform & Tooling Orchestration
    • Architect and integrate end‑to‑end tool chains spanning Cloud & Dev Sec Ops  (Azure, AWS, GCP, Kubernetes, Terraform, Git Hub/Azure Dev Ops, Git Ops).
    • Data & AI (Azure OpenAI, Databricks, Snowflake, vector databases, MLOps pipelines, prompt/version management).
    • Automation (UiPath, Power Automate, Azure Automation, event‑driven workflows).
    • ITSM & AIOps (Service Now, Jira Service Management, Dynatrace, Azure Monitor, Prometheus/Grafana).
    • Security (Entra , Key Vault, Sentinel/Splunk, DLP and data governance tools).
    • Ensure interoperability, scalability, and operational simplicity across platforms.
  • Delivery Leadership & Service Transition
    • Provide architecture leadership from design through transition into managed operations.
    • Define SLAs, SLOs, OLAs, service catalogs, and automation backlogs.
    • Guide service onboarding, knowledge transfer (KCS), runbook creation, and CMDB population.
    • Drive increased automation coverage and reduced MTTR through self‑healing and AIOps patterns.
  • Governance, Risk & Responsible AI
    • Embed Responsible AI principles, model risk management, and safety controls into managed services.
    • Ensure alignment with Zero Trust, SOC 2, ISO 27001, NIST, GDPR, HIPAA, and other applicable regulations.
    • Define monitoring for model performance, drift, bias, lineage, and auditability.
  • Practice Contribution & Thought Leadership
    • Support proposals, RFPs, solution design, and pricing models (FTE‑based, consumption‑based, outcome‑based).
    • Mentor architects and engineers across AI, automation, platform, and operations domains.
    • Contribute to EY assets, playbooks, demos, and points of view for clients and internal teams.
Skills And Attributes For Success
  • Ability to define and deliver a standardized tooling blueprint and managed services framework adopted across multiple client engagements.
  • Trackable improvements in SLA attainment, MTTR reduction, and automation coverage.
  • Secure, compliant AI services operating in production with documented controls and monitoring.
  • Clear value realization tracked through KPIs, Fin Ops metrics, and client feedback.
To qualify for this role you must have
  • 12–14+ years of experience in enterprise architecture, platform engineering, or IT operations.
  • 4+ years designing or operating managed services and/or SRE‑based operating models.
  • 3+ years working with AI/ML or GenAI platforms (LLMs, RAG, MLOps).
  • Strong experience integrating ITSM, cloud, automation, observability, and security tooling.
  • Excellent client‑facing communication and executive storytelling skills.
Ideally, you’ll also have
  • AI‑enabled managed services experience in regulated industries.
  • Automation CoE, platform engineering, or cloud transformation leadership.
  • Commercial experience with managed services contracts, SLAs, and value‑based pricing.
What We Look For

We seek individuals who are proactive,…

Position Requirements
10+ Years work experience
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