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About the Role

Defines 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 various teams to ensure trusted digital data supports Customer 360, AI, analytics, and marketing activation. Drives enterprise architecture decisions and scalable digital data capabilities.

Responsibilities

Defines 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.

Requirements

Proven track record and experience in delivering products within large-scale organizations.
Ability to translate business problems into analytical specifications, requirements, and efficient solutions designs.
Proactive leadership to build strong rapport and relationships 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 a matrixed organization and balancing the 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.

Skills

Enterprise Cloud platforms (DataLake, DataWarehouse) especially Azure and its main components (Azure Data Factory, Synapse)
Databricks
SQL
Python
PySpark
Data modeling
Visualization tools (e.g., Tableau, Power BI)
Machine Learning (a plus)

Education Level

Bachelor's degree in Computer Science, Information Technology or related field or equivalent experience.