
Chief Data Solutions Architect
1 day ago
As a highly accomplished Data Architect Lead, you will be responsible for driving the enterprise data strategy and governance.
You will oversee modern data platforms, including Snowflake, Databricks, AWS, and Kafka, and enable AI/ML capabilities for personalization, forecasting, and analytics.
To succeed in this role, you will need to partner with cross-functional teams, including Marketing, Supply Chain, Finance, and R&D, and lead a high-performing data engineering team.
The ideal candidate will have 18+ years of experience in IT, with 8+ years in data architecture/engineering, and strong expertise in large-scale, distributed data systems.
Additionally, they will have deep experience in CPG/FMCG data use cases, including CDPs, MMM, ProfitSphere, and inventory analytics, as well as excellent communication and leadership skills.
- Key Responsibilities:
- Define and lead enterprise data strategy & governance
- Oversee modern data platforms, including Snowflake, Databricks, AWS, and Kafka
- Enable AI/ML for personalization, forecasting, and analytics
- Partner cross-functionally with Marketing, Supply Chain, Finance, and R&D teams
- Lead and mentor a high-performing data engineering team
- Requirements:
- 18+ years in IT, with 8+ years in data architecture/engineering
- Strong expertise in large-scale, distributed data systems
- Deep experience in CPG/FMCG data use cases, including CDPs, MMM, ProfitSphere, and inventory analytics
- Excellent communication and leadership skills with cross-functional influence
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