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Tier-1 brand, metro location, broad analytics scope and generalist senior manager title intensify applicant competition.
Core analytics and platform skills transfer across industries, though retail/merchandising experience is a preferred differentiator.
Explicit 12-year minimum, leadership requirement, and specific platform and AI expectations create strict shortlisting filters.
Lead a team delivering data, reporting, analytics, automation, and AI capabilities supporting Merchandising leadership for faster, scalable decision-making.
Set vision, strategy, and roadmaps for analytics and AI solutions aligned to business value and measurable outcomes in the Merchandising function.
Partner across Merchandising, Product, Data Science, and Technology to align capabilities, democratize data, and ensure quality and responsible AI practices.
Undergraduate degree in IT, Computer Science, Data Science, Mathematics, Statistics, or related quantitative field (or equivalent experience).
Minimum 12 years in data analytics or related field with at least 2 years in people management.
Strong technical skills in SQL, data warehousing, BI tools (Power BI, Looker, Tableau), and modern data platforms (GCP BigQuery, Spark, Airflow).
Experience with analytical programming (Python, R, Hive) and knowledge of AI/Generative AI tools, including responsible AI implementation.
Experienced leader able to translate ambiguous business strategy into actionable analytics roadmaps and prioritize high-impact initiatives.
Strong technical fluency to guide teams on scalable, maintainable analytical and AI solutions without needing to execute hands-on.
Comfortable working in fast-paced, complex environments requiring stakeholder influence, clear communication of technical concepts, and team talent development.