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SAM Analyst

Specialist Computer Centres PLC

Remote

GBP 80,000 - 100,000

Part time

Yesterday
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Job summary

A leading IT service provider is seeking an experienced SAM Analyst to drive a Java remediation program. This role involves managing software asset management and licensing risks while coordinating closely with technical teams and stakeholders. The ideal candidate will have hands-on experience with Java estate analysis, strong communication skills, and a good understanding of Java licensing models. This position offers a competitive rate on a remote basis, perfect for seasoned professionals looking to make an impact.

Qualifications

  • Hands-on experience analysing Java estates with Snow Atlas or similar tools.
  • Strong understanding of Java licensing models and associated risks.
  • Proven stakeholder skills and ability to translate technical risks.

Responsibilities

  • Lead the Java remediation strategy including uninstall, upgrade, replacement.
  • Analyse Java installations and validate usage with owners.
  • Identify licensing and vendor dependencies and advise on risks.
  • Coordinate remediation across technical teams managing exceptions.
  • Produce executive-level reporting on risks and progress.

Skills

Java licensing models
Snow Atlas
Stakeholder collaboration
Technical communication
Java remediation

Tools

Snow Atlas
Job description
SAM Analyst £450 per day via Umbrella - 3-month contract - Remote - SCC Flex Contract

We\'re seeking an experienced SAM Analyst to drive a large-scale Java discovery, assessment, and remediation programme. This role combines Software Asset Management, licensing risk assessment, and technical remediation leadership, working closely with technical teams, application owners, and stakeholders to reduce operational, technical, and commercial risk associated with Java usage.

Overview

Responsibilities
  • Lead the Java remediation strategy, including uninstall, upgrade, replacement, and defining migration paths (OpenJDK, Azul).
  • Analyse Java installations via Snow Atlas, validate usage with owners, and assess overall footprint, complexity, and risk.
  • Identify licensing, contractual, and vendor dependencies; advise on Java licensing risk and prioritise high-risk areas.
  • Coordinate remediation across technical teams, managing exceptions, risks, and stakeholder alignment.
  • Serve as main contact for the Java remediation workstream, ensuring clear communication of plans, risks, and dependencies.
  • Produce concise executive-level reporting on headline risks, priorities, recommendations, and progress.
  • Support delivery planning, including timeline shaping, scoping of remediation effort, and resource alignment.
Qualifications
  • Hands-on experience analysing Java estates using Snow Atlas or similar SAM/inventory tools, with strong background in remediation, rationalisation, and Java removal/upgrade actions.
  • Good understanding of Java licensing models, vendor changes, and associated risk, with the ability to interpret inventory data into actionable remediation steps.
  • Proven stakeholder skills: collaborating with technical, operational, and business owners to validate usage, agree remediation plans, and manage exceptions.
  • Clear communicator able to translate technical and licensing risk into concise, executive-level recommendations and reporting.
  • Experience in large enterprise environments, ideally with SAM/ITAM, compliance, or optimisation responsibilities and familiarity with the Java ecosystem.
  • Background in remediation programmes, application modernisation, or technology risk reduction.

If you are the SAM Analyst we are after, apply now with your CV. References required.

NOTE: At SCC, we take the privacy and security of your information very seriously. Any information we hold will be processed in line with current data protection legislation. Upon submitting your application SCC will process your information in line with our privacy policy which can be found on our website under the Legal section -> Privacy Notice -> Flexible Resourcing.

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