Technical Service Delivery Lead

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
Contract Corp To Corp
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Accountability
  • Artificial Intelligence
  • Capacity Management
  • Continuous Improvement
  • Contract Lifecycle Management
  • DevOps
  • Project Management
  • Stakeholder Engagement
  • Service Delivery
  • Information Systems
  • Service Level
  • IT Infrastructure
  • Dependability
  • GitHub
  • Microsoft Azure
  • Regulatory Compliance
  • Service Management
  • ServiceNow
  • Documentation
  • Customer Engagement

Summary

What You Will Own

Service Delivery (Primary Focus)

     Own the day-to-day delivery of the ESP service portfolio — patching, tech debt remediation, capacity management, CLM, and CNP — making sure each service is delivered effectively and reliably.

     Act as the connective layer across all ESP services, driving consistency in how they are operated, measured, and reported.

     Drive adherence to ITIL-based service management processes and operational standards across global teams and support groups.

     Own portfolio-level service metrics, SLAs, and governance — turning data into clear status, risks, and recommended actions.

Service Review & Continuous Improvement

     Establish and run a structured service review cadence across the portfolio — reviewing delivery performance, SLAs, availability, risks, and open actions, and tracking every action to closure.

     Use your technical background to make these reviews substantive — asking the right questions of cloud, automation, and AI outcomes rather than simply tracking status.

     Identify service improvements and gaps, and drive them to resolution with the accountable teams.

Transformation & Automation/AI Enablement

     Look for opportunities to transform services by applying automation and AI — identifying where manual, repetitive, or fragile operational work could be improved.

     Translate operational requirements into clear inputs for the automation and AI teams who build and deliver those capabilities — defining the problem, the desired outcome, and the operational context so they can execute effectively.

     Partner with those teams throughout delivery, validating that what is built meets the operational need and lands cleanly in the service.

     Use AI in your own day-to-day work — for analysis, reporting, documentation, and review preparation — to work faster and raise quality.

     Help measure the impact of automation and AI initiatives on service quality, effort, and risk.

New Service Readiness

     Prepare the operational delivery of new services and capabilities that are automated and leverage AI — with a focus on agentic delivery — defining the operating model, runbooks, SLAs, and customer engagement approach needed to bring them into steady-state operation.

     Define how the operation evolves from human-run runbooks toward agent-assisted and autonomous operational workflows — including the guardrails, human-in-the-loop checkpoints, and oversight needed to run agentic services safely.

     Establish how these AI-enabled and agentic services will be reviewed, measured, and supported day to day, so reliability is built in from launch.

     Translate business and compliance requirements into structured, scalable service operating models for these new capabilities.

Stakeholder Engagement & Reporting

     Drive execution across teams that do not report to you — operational and application teams, account owners, and business-unit stakeholders — through influence rather than authority.

     Run structured escalation and engagement models that turn visibility into action and accountability.

     Represent ESP service delivery in operational reviews, change advisory boards (CABs), and audits.

     Provide clear, executive-ready reporting on delivery status, risks, dependencies, and outcomes.

What You Bring

Required Experience

     Typically 10+ years of IT operations experience, with a proven record of owning end-to-end service delivery across multiple service lines — seasoning and demonstrated outcomes matter more than a precise year count.

     Proven experience in ITIL-based service delivery within large-scale, complex enterprises.

     A hands-on background supporting cloud environments (Azure and/or AWS) that you now use to make informed service decisions — you understand how these environments are operated, patched, monitored, secured, and recovered, without needing to run them yourself in this role.

     A track record of delivering automation that gives you the judgment to recognize automation opportunities and define what the automation teams need to build.

     Practical experience using AI, including exposure to agentic AI approaches — both to improve your own day-to-day work and to enhance services — with the ability to feed clear operational requirements to the teams delivering AI capabilities.

     Demonstrated ownership of service-level outcomes across multi-team efforts (distinct from pure project management).

     Experience driving execution across teams that do not report to you (influence without authority).

     Hands-on experience with Jira, Confluence, and ServiceNow (or equivalents) for workflow tracking and documentation.

     Bachelor''s degree in Computer Science, Information Systems, or a related discipline, or equivalent experience.

How You Work

     You lead with service delivery discipline but think like a technologist — credible with engineering, cloud, and automation teams.

     You are structured, organized, and relentless about closing actions and driving accountability.

     You communicate clearly and concisely, and can shift from operational detail to executive summary as the audience requires.

     You are comfortable operating independently and owning outcomes without day-to-day direction.

Preferred

     Cloud certification in Azure and/or AWS.

     ITIL Foundation or higher.

     Familiarity with automation tooling  — Terraform, PowerShell, Python, Ansible, GitHub / GitHub Actions, and Azure DevOps — sufficient to engage credibly with the teams that deliver it.

What Success Looks Like

     ESP services are delivered consistently and reliably across the portfolio.

     A dependable service review cadence is running, with actions tracked to closure.

     Clear, well-formed automation and AI requirements are handed to the delivery teams, and the resulting improvements land cleanly in the services.

     New automated and AI-enabled services — including agentic capabilities — are brought into operational delivery smoothly, with defined operating models, SLAs, and runbooks.

     Measurable improvement in service quality and reduction in manual effort through transformation opportunities you surface.

     Routine delivery outcomes are achieved independently, without escalation to the Director.

Other Duties

     Performs other duties as assigned by the Director, IT Infrastructure & Operations.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: marlabnj
  • Position Id: 9067594
  • Posted 2 hours ago
Contact the job poster
Bharath Kumar

Bharath Kumar

Director -Recruitment @ Marlabs LLC
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