AI Data Specialist

The AI Data Specialist for Global Rental Operations (GRO) develops AI-ready data structures, partners closely with IT engineering and data science teams, and ensures high-quality, well-modeled data across Snowflake, Salesforce, Power BI, and activation systems. This liaison role bridges GRO and IT, translating business needs into technical requirements, conducting QA, and supporting scalable modeling and automation. The role is essential to GRO’s growth as it expands into new marketplaces, distribution partners, and brands — enabling cohesive, AI-supported customer and performance views and helping shift GRO toward rule-based, automated marketing. This role is hybrid in office Monday, Tuesday and Wednesday , and remote Thursday and Friday. How You'll Shine: Build scalable, AI-ready semantic models and structured datasets in Snowflake to unify customer, marketplace, and performance data across brands and partners. Define ingestion standards for new marketplaces, distribution partners, and brand data to ensure consistency and long-term scalability. Serve as the primary liaison between GRO and IT/data science teams, translating business needs into clear technical requirements and documentation. Conduct QA across pipelines, partner feeds, feature stores, and model outputs to ensure data accuracy and reliability. Support advanced modeling use cases such as propensity scoring, persona clustering, lookalikes, and inventory-based triggers by developing reusable, well-structured features. Structure and optimize Power BI semantic models to enable AI-powered insights (including Copilot) and cohesive, cross-channel performance dashboards. Enable rule-based, model-informed automation by developing scalable data triggers and activation logic that reduce manual campaign execution. Ensure data definitions, activation logic, and reporting frameworks remain consistent as GRO expands into new markets, brands, and channels. What You'll Bring: Bachelor's degree in a technology-related field preferred SQL, Snowflake, Python, Power BI, CRM/CDP systems 4+ years in data engineering or applied analytics; experience with IT partnership. Experience equivalent to the education requirement may be accepted in lieu of the education requirement. #J-18808-Ljbffr