Store Inventory Management

As the Value Cluster Lead for Stores (Techno Functional Stores) in the Retail domain, your role involves owning the strategy, growth, and delivery excellence for a store cluster. This includes analytics and operations solutions, bridging business and technology aspects. You will lead pre-sales, solution architecture, and program delivery while building a high-performing team of data engineers, analysts, and consultants. - Cluster Strategy & Roadmap: Define the stores analytics value cluster vision, identifying use cases across inventory optimization, footfall analysis, planogram compliance, and workforce scheduling using various technology solutions. - Techno Functional Leadership: Translate store operations and merchandising requirements into technical designs; oversee data modeling, pipeline orchestration (Spark Structured Streaming), and performance tuning. - Pre Sales & Proposals: Collaborate with Sales and Solutioning teams to craft RFP responses, architecture diagrams, TCO/ROI analyses, and executive presentations tailored to store-centric use cases. - Delivery Oversight: Manage multiple retail store engagements, govern project health, risks, budgets, and timelines; ensure agile delivery, CI/CD for notebooks, test automation, and security best practices. - Capability Building: Recruit, mentor, and upskill a global team; establish Centers of Excellence for various store solutions. - Stakeholder Management: Act as the primary advisor to store operations leaders, CIOs, and merchandising heads; drive governance forums, steering committee updates, and change management. - Performance & Metrics: Define and track cluster KPIs; continuously optimize processes and resource allocation. **Qualifications & Skills** - 12-15 years of IT experience, with at least 5 years in techno-functional leadership of project implementations in retail stores. - Strong understanding of store operations processes such as POS transactions, inventory management, planogram compliance, footfall analytics, and workforce scheduling. - Hands-on experience with real-time data ingestion (Kafka, Kinesis), ETL frameworks, and data modeling for high-volume retail data. - Proven track record in pre-sales: solution workshops, PoCs, business case development, and executive-level demos. - Excellent leadership skills; able to build and manage distributed, cross-functional teams and oversee P&L for a solution cluster. - Outstanding communication and stakeholder management capabilities, with experience engaging C-level and store operations executives.,