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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
Listed on 2026-06-28
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
Job Description & How to Apply Below
Location:
Anywhere in Country
- 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.
- 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.
- 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.
- 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.
- 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.
We seek individuals who are proactive,…
Position Requirements
10+ Years
work experience
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