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Astreya

AI-powered managed IT services provider

Software Asset Analyst 2

Procurement & SourcingConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Three to seven or more years of experience in software asset management, software licensing operations, or software procurement.
  • Practical command of licensing models and their governance differences across SaaS user-based, installed device-based, cloud-hosted, floating, and consumable-credit software.
  • Hands-on renewal and true-up experience, including building licence positions from usage data.
  • Demonstrated gating judgment, including recognizing requests that must be stopped, escalated, or rerouted rather than fulfilled.
  • Strong ticket and data discipline, including category coding, evidence retention, and audit-ready records.
  • Ability to work one of three IST-anchored shifts, including the NAMER window from 22:00 to 06:00 IST.
  • Clear English communication with requesters, approvers, publishers, and resellers.

Responsibilities

  • Triage unlisted software requests in the enterprise ticketing queue, log eligible items in the unified tracker, and advance due-diligence-complete requests to weekly triage review.
  • Enforce intake gating rules by identifying and rejecting high-risk use cases such as customer-facing code, personal device use, and reverse engineering, using standard responses and appropriate routing.
  • Secure sensitive data by immediately moving tickets containing license keys, audit notifications, or accessibility information to the private queue.
  • Manage security and legal gates by collecting VSA project IDs, verifying EULA and clickwrap reviews, and flagging cases requiring director-level signatures.
  • Escalate signed agreements to the formal contract intake path and do not accept or process them locally within the unlisted queue.
  • Resolve complex entitlement and edition decisions, prioritizing reusable existing assets before initiating new purchases.
  • Create and track contract events against the correct Deal Radar ID using the standard event types—new contract, contracted renewal, true-up, and predict-and-purchase—with correct recurrence numbering.
  • Work milestone schedules for assigned events by compiling the Initial Licence Position from usage scans and consumption snapshots, gathering domain Invest/Maintain/Divest sentiment, and producing the Final Licence Position with harvested licences pruned from the baseline.
  • Apply the correct commercial workflow for true-ups: process an amendment where a signature alters contracted baseline quantities, and a purchase-order addition where no signature is required.
  • Maintain contract metadata accurately, including products, pricing, start and end dates, evergreen clauses, and committed spend extracted from executed agreements.
  • Process business-as-usual change management for licence changes, publisher name changes, and product version updates through the change log.
  • Prepare purchase requisitions and support downstream three-way matching by cross-verifying invoices, unit prices, and payment terms against the purchase order and the analyst's records.
  • Maintain M&A software inventory trackers, using population scripts to map raw vendor data into unified deal tracking formats.
  • Normalize publisher and title names against the master catalog, flagging net-new vendors for portfolio review and insertion.
  • Filter out-of-scope embedded technology and exclude software embedded in acquired public-facing products from the termination queue.
  • Automate ticket creation from tracker rows, bundle records under hotlists for executive visibility, and maintain master sync integrity.
  • Process pre-close terminations by collecting cancellation evidence and updating trackers without recording cost avoidance.
  • Execute post-close terminations under privacy controls by auditing privacy sheets and pulling details directly to avoid unauthorized vendor contact.
  • Apply correct termination timelines by resolving short-usage cases with cancellation proof and routing long-usage cases for security and legal exception approvals.
  • Configure automated harvesting by mapping product IDs, setting inactivity thresholds, and classifying software as high-risk when unassignment may cause data loss and repeated use-it-or-lose-it warnings are needed, or low-risk when there is no data loss and software can be reclaimed automatically after the 14-day inactive notice.
  • Run the daily former-user sweep to reclaim licences from leavers and execute manual reclamation surveys where automation does not yet cover a publisher.
  • Record realized savings accurately in the licence-reclaim audit table, including deprovisioning date, software, user, initiative, and reason, so entries support cost-avoidance dashboards and audit records.
  • Run weekly and monthly licence audits for the assigned portfolio and act on surfaced exceptions.
  • Mentor Level I associates on the shift by reviewing their work, coaching them on gating judgment, and taking cases they should not decide alone.
  • Flag automation candidates where a publisher's transaction volume approaches the 1,000-per-year threshold.

Desired Qualifications

  • Software asset management certification such as IAITAM CSAM, ITIL, Flexera, or ServiceNow SAM credential.
  • M&A software integration experience, including terminations under privacy constraints.
  • Experience configuring automated licence harvesting and setting risk-based reclamation rules.
  • SAP Materials Management experience and exposure to three-way matching.
  • Spreadsheet automation or scripting with Apps Script or Python applied to tracker and reporting work.

About the Company

Astreya

AI-powered managed IT services provider

Astreya provides IT managed services for large enterprises, designing, deploying, and running their technology environments. Its offerings cover cloud, infrastructure, security, digital workplace services, and AI-powered support, including an AI-driven service desk and an AI Ops platform. It differentiates itself by tightly integrating with a client’s existing stack and partnering with platforms like Google Cloud, Databricks, and ServiceNow to deliver end-to-end managed IT with in-house AI capabilities. Its goal is to help enterprises run IT more efficiently and securely while expanding impact through partnerships and acquisitions, including supporting Cognizant's AI-first managed services strategy.

Company size
1,001-5,000
Company stage
Acquired
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2001

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