Description

Defines the enterprise strategy, roadmap, governance and operating model for digital data platforms and measurement capabilities.
Establishes enterprise standards for digital instrumentation, data layers, event taxonomy, server-side tagging and digital data quality across brands and markets.
Leads platform modernization, evaluates emerging technologies and manages strategic technology vendor relationships.
Partners with Engineering, Digital Product, Privacy, Analytics, Marketing Technology, CRM and the Enterprise CDP team to ensure trusted digital data supports Customer 360, AI, analytics and marketing activation.
Drives enterprise architecture decisions and scalable digital data capabilities rather than solely managing individual platforms.

Qualifications

Functional Skills:

Proven track record and experience in delivering products within large⁃scale organizations
Ability to translate business problems into analytical specifications and requirements & efficient solutions designs
Proactive leadership to build strong rapport and relationship with cross⁃functional users and stakeholders as well as with on⁃shore and off⁃shore resources
Ability to quickly analyze various data sets and identify their complexity, gaps and relations with other data assets (Strong data analysis skills)
Strong SDLC and project management experience. Comfortable working with Agile methodologies
Comfortable working in matrixed organization and balancing needs of multiple stakeholders
Advanced knowledge in Marketing (Consumer & Digital Marketing, Syndicated data, Clienteling)
Excellent organization and communication skills coupled with a rigorous working process Technical Skills and Qualifications
Proficient with Enterprise Cloud platforms (DataLake, DataWarehouse) especially Azure and its main components (Azure Data Factory, Synapse) as well as Databricks
Solid knowledge in SQL, Python, PySpark and data modeling
Experience in leading visualization tools e.g. Tableau, Power BI
Experience in Machine Learning is a plus
Bachelor's degree in Computer Science, Information Technology or related field or equivalent experience.

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