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Strong brand and Bangalore metro increase competition, but seniority and specialized AI leadership narrow applicant pool.
Medium because analytics leadership is transferable, though retail/merchandising domain experience is strongly preferred.
High because of explicit 12-year minimum, managerial requirement, and mandatory GCP/BigQuery, Spark, and AI skills.
Lead and manage an analytics team to deliver data, insights, automation, and AI solutions enabling faster, scalable decision-making in Merchandising.
Develop and execute the vision, strategy, and roadmap for data, reporting, analytics, automation, and AI capabilities, prioritizing measurable business outcomes and business value.
Collaborate with cross-functional teams to align on solutions, promote responsible AI adoption, and ensure quality standards and governance across analytical workflows.
Undergraduate degree in IT, Computer Science, Data Science, Applied Mathematics, Statistics, or related quantitative field or equivalent experience.
Minimum 12 years experience in data analytics or related disciplines; at least 2 years in people management.
Strong technical knowledge of SQL, data warehousing, BI tools (Power BI, Tableau, etc.), and modern data platforms like GCP BigQuery and Spark.
Experience with Generative AI, AI agents, AI-enabled analytical workflows, and responsible AI practices including privacy, governance, and bias mitigation.
Experienced leader who can translate complex business strategies into actionable analytics and AI roadmaps for merchandising functions.
Senior-level analytics professional familiar with modern data ecosystems, AI solutions, and capable of managing cross-team collaboration and stakeholder influence.
Has prior experience managing high-performing data analytics teams and driving large-scale analytics projects with measurable business impact, preferably in Retail or Merchandising.