Graduate degree in Engineering, Computer Science, Information Technology, Business Administration, Retail Management, Supply Chain, Operations, Statistics or a related discipline. Relevant Experience · Typically 3–6 years of relevant experience in merchandise replenishment, inventory or assortment management, retail analytics, product management, application delivery or process automation. · Experience in jewellery, fashion, lifestyle, speciality retail or another high-SKU environment is preferred. · Experience supporting enterprise merchandising, replenishment, assortment-planning, ERP or retail inventory applications is desirable. Essential Technical & Functional Capability · Strong understanding of merchandise replenishment, assortment, model stock, inventory productivity, allocation, rotation and seasonal planning. · Strong SQL capability for large-data analysis, reconciliation, stored procedures, business-rule implementation, troubleshooting and performance optimization. · Ability to independently develop selected business features, utilities, reports and workflow solutions, not only document requirements for others. · Advanced Microsoft Excel skills and experience with reporting or dashboard solutions · Working knowledge of Python for automation, data processing or analytics is an added advantage. · Experience in requirement gathering, solution design, UAT, deployment, production support and root-cause analysis. · Understanding of batch processing, interfaces, database performance, scheduling, controls and data quality.

A. Merchandise Replenishment & Daily Operations · Own the end-to-end daily replenishment and indent cycle, including data interface validation, load and recalculate activities, recommendation readiness, retail indenting and release to Supply Chain. · Monitor critical replenishment inputs and exceptions such as stock and sales feeds, assortment and model-stock parameters, buffers, product/store masters, supply availability and processing failures. · Ensure stores receive adequate and timely indenting time; establish controls, alerts, escalation paths and recovery procedures for operational continuity. · Proactively coordinate resolution of issues that may affect merchandise availability, sales opportunity or replenishment accuracy. B. Product Ownership, Feature Development & Technology Delivery · Act as the functional product owner for Onebeat and related merchandise applications, maintaining a prioritized roadmap based on business impact, operational risk and user needs. · Translate business problems into process designs, functional requirements, data rules, solution logic, test scenarios and measurable outcomes. · Directly design and develop selected features, utilities, SQL solutions, reports and automations where appropriate, while partnering with Digital, IT and vendors for larger application or platform changes. · Lead prototyping, functional testing, user acceptance testing, reconciliation, pilot execution, deployment and post-implementation monitoring. · Improve application usability, controls, reliability and database or batch performance in collaboration with relevant technology teams. C. Assortment, Inventory & Seasonality Effectiveness · Ensure norm, model-stock(assortment), buffer, allowance, product attribute and inventory-visibility parameters are accurate and aligned with business strategy. · Monitor inventory health and assortment alignment, identify exceptions, and drive corrective action with Category, Retail, Cluster, TOC and Supply Chain teams. · Enable system-driven planning and execution for seasonal periods, events, new collections and special business initiatives. · Develop and refine rules for replenishment, allocation, assortment correction and stock rotation to improve availability, sell-through, ageing and stock productivity. · Review outcomes and recommend changes to business rules, system parameters or operating processes based on data and stakeholder feedback. D. Automation, Analytics & Process Improvement · Identify high-effort, repetitive or error-prone merchandise processes and convert them into controlled, scalable and auditable solutions. · Design and develop automation and intelligent decision-support solutions using SQL, Python, AI/ML, Agentic AI, dashboards, workflow applications, and other approved technologies; collaborate with technology partners where enterprise-level development is required. · Build actionable exception reports and decision-support views that help stakeholders address availability, alignment, ageing, excess inventory and process delays. · Embed validations, reconciliation, logs, alerts, restart controls and documentation within automated solutions. · Measure delivered value through reduced turnaround time, manual effort, errors and operational dependency, along with improved business responsiveness. E. Stakeholder Management, Governance & Capability Building · Partner with Corp Merchandising Team, Category, Retail, Regional Merchandisers, Cluster teams, Supply Chain, TOC, Digital, IT and external solution partners. · Govern requirements, defects, enhancements and deployments through clear priorities, ownership, timelines, risk escalation and closure tracking. · Create and maintain standard operating procedures, operating guides, user manuals and solution documentation to reduce individual dependency and ensure business continuity. · Build user & Retail capability through structured onboarding, periodic training, release communication and handholding during pilots or major process changes. F. Continuous Improvement & Future Readiness · Benchmark merchandise management practices and identify practical opportunities to improve replenishment, planning, allocation, inventory visibility and user experience. · Evaluate new analytical, automation and intelligent exception-management capabilities that can scale with business growth, new stores, categories and transaction volumes. · Maintain a pipeline of improvements and periodically assess realized business benefits after implementation. Expected Outcomes · Timely and dependable replenishment recommendations and indents for L1/L2 stores. · Improved merchandise availability and alignment against approved assortment and inventory norms. · Better inventory productivity through stronger control of ageing, duplication, excess and assortment gaps. · Greater adoption of system-driven replenishment, allocation, rotation and seasonal inventory processes. · Reduced manual effort, processing time and operational errors through well-controlled automation. · Stable, faster and more user-friendly Onebeat processes, reports and associated applications. · Clear decision support and stronger capability across merchandising and retail stakeholder groups. Indicative Performance Measures Specific numerical targets and project milestones will be defined in the annual KRA. The continuing role may be assessed through: · Replenishment and indent availability, timeliness and operational reliability. · Assortment and inventory alignment, product availability, ageing, and stock-productivity indicators. · Accuracy and timeliness of master, norm, model-stock and configuration changes. · Business impact, adoption and timely delivery of features, automations, reports and process improvements. · Reduction in manual effort, turnaround time, exceptions and recurring production issues. · System performance, control effectiveness, documentation quality and business continuity readiness. · Stakeholder satisfaction, training effectiveness and closure of critical issues.

Behavioural Competencies · Ownership and accountability · Analytical and structured problem-solving · Business and commercial understanding · Process orientation and attention to detail · Clear communication and stakeholder influence · Ability to bridge merchandising and technology teams · Learning agility and perseverance · Prioritization under time-sensitive operating conditions · Continuous-improvement and automation mindset