Synopsis / Summary:
We need to have someone with knowledge in Invent (tool), Assortment planning area as process. We need to have someone who has knowledge of working with the tool, area and with SaaS application supporting feeds from the application to multiple systems. Persoon should be willing to be on Call for P1/P2.
Should have ability to work with offshore team and help offshore L3 team member. There is going to be 2-member team. (one onshore and one offshore)
Key responsibilities
Act as L3 team member for incidents: triage, mitigation, customer communication, RCA, and closure.
Troubleshoot and resolve complex data/integration issues (SFTP/CSV, REST APIs, ETL), SKU/store hierarchy mismatches, and promo/calendar ingestion errors.
Diagnose forecast variances: validate model inputs, analyze diagnostics, and recommend configuration or data corrections.
Reproduce issues in test tenants and produce detailed defect packages (logs, SQL extracts, repro steps) for Engineering.
Implement or coordinate permanent fixes, patches, and configuration changes with Product and R&D.
Lead technical readiness for go lives and upgrades: capacity testing, pre/post reconciliation, runbook ownership, and cutover support.
Perform performance tuning for forecast jobs and database queries; recommend scaling/partitioning or model runtime improvements.
Create and maintain runbooks, KB articles, and troubleshooting guides.
Required qualifications
Minimum 10+ years' relevant experience supporting merchandise planning, forecasting, or retail planning systems (implementation/support).
Direct experience with Invent (Invent.ai / MerchPlan)
Deep retail planning domain knowledge: forecasting, OTB, assortment, allocation, replenishment, promotions, markdowns, seasonality.
Strong SQL skills (complex queries, window functions, performance tuning) for data validation and reconciliation.
Practical experience with data integrations (SFTP, CSV/flat files, REST APIs) and ETL troubleshooting.
Scripting ability (Python/Bash) for diagnostics, automation, and remediation scripts.
Comfortable with Linux basics, log analysis, and multi tenant SaaS environments.
Proven track record owning high severity incidents and producing actionable RCAs.
Excellent verbal and written communication; able to translate technical findings into business impact for merchandisers and finance.
Willingness to participate in on call rotation.
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