Data Product Manager
4 weeks ago
About the Role
We are seeking a highly skilled Senior Data Product Manager to lead our personalization and AI initiatives across the AlFuttaim Group Customer Ecosystem. The successful candidate will be responsible for delivering personalized experiences across all consumer-facing channels, leveraging multiple data assets and capabilities to achieve business goals and enhance customer engagement metrics.
Key Responsibilities
- Develop and execute a strategic data-driven roadmap to create effective and engaging consumer experiences and deliver business value.
- Partner with cross-functional teams of engineers, data scientists, and marketing and product executives to build and scale our personalization and AI capabilities.
- Leverage our Group Customer Data Platform and marketing technologies to drive data-driven programs and initiatives with a strong focus on the direct-to-consumer channel.
- Manage external agency and multiple vendor relationships as related to CRM, loyalty, and data platform management.
- Stay up-to-date with trends and leading technologies in the data & AI space such as GenAI.
Requirements
- Bachelor's Degree
- 10-12 years of experience in data analytics and AI
- 5-7 years of experience in product management and delivery of personalization solutions to enhance customer experiences.
- Extensive experience working on teams that used data-driven processes to put new Machine Learning models into production, set solid metrics goals, and had a successful launch and showed continuous improvement on KPIs after the system was in production.
- Strong knowledge of data tech stack and tools such as SQL, Microsoft Azure, Databricks, Apache Spark, PowerBI, Azure OpenAI Studio, etc.
- Self-motivated, results-oriented, and strategic thinker
- Strong time management and prioritization skills
- Experience working in a direct-to-consumer environment, developing or running a brand loyalty program, and working as part of a large business conglomerate operating in multiple markets are preferred but not required.
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