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Target brand and metro location increase competition, though seniority and specialized analytics leadership narrow the pool.
Medium — analytics leadership skills transfer across industries, though merchandising domain knowledge is advantageous.
High due to explicit 12-year requirement and mandated technical, AI, and leadership experience.
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Lead and manage an analytics team to deliver data, reporting, analytics, automation, and AI solutions that enable faster, smarter decision-making within Merchandising.
Set vision, strategy, roadmap, and quality standards for analytic and AI capabilities, prioritizing scalable business impact and measurable outcomes.
Partner with cross-functional teams and business leaders to align solutions, identify AI opportunities, ensure responsible AI practices, and communicate complex analytics in clear business terms.
Undergraduate degree in IT, Computer Science, Data Science, Applied Mathematics, Statistics, or equivalent experience.
Minimum 12 years of experience in data analytics or related fields, 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 like GCP BigQuery, Spark, and Airflow.
Experience with Generative AI, LLM-based solutions, and establishing responsible AI practices (privacy, governance, bias, explainability).
Experienced leader who can translate business strategy and ambiguous problems into actionable analytics roadmaps with measured business outcomes.
Technically fluent in modern data ecosystems and AI technologies, capable of guiding teams without being the primary hands-on executor.
Comfortable engaging and influencing senior stakeholders, with strong communication skills to connect technical concepts to business implications.