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Description
Role Overview As the Value Cluster Lead for Stores (Techno Functional Stores) in our Retail domain, you will own the strategy, growth, and delivery excellence for a store cluster including analytics and operations solutions. You’ll bridge business and technology—leading pre sales, solution architecture, and program delivery—while building a high performing team of data engineers, analysts, and consultants. Primary Skill : SIM – Store Inventory Management & Business Process Retail & Distribution Location: Hyderabad Experience: 12+ years Key Responsibilities • 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. Required 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—POS transactions, inventory management, planogram compliance, footfall analytics, 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. z • Outstanding communication and stakeholder management capabilities, with experience engaging C level and store operations executives Show more Show less
