Lead advanced data science initiatives as a Senior Manager at HOOPP, focusing on AI-enabled analytics and semantic modeling. This individual-contributor role emphasizes strategic oversight within a people-focused culture.

Reporting to the Director of Data Science and Modeling, you will design and scale advanced analytics, investment reporting, and govern metric layers. Your hands-on expertise with AI and LLM-enabled analytics will influence cross-functional teams, elevating enterprise reporting and insights. This position requires a commitment to innovation and a passion for enhancing investment reporting.

Key Responsibilities:



• Develop and implement advanced data science workstreams • Guide technical oversight for ETL pipelines and analytics • Enhance semantic metric layers for business intelligence tools • Review data models and strengthen reporting precision • Collaborate with Finance, Investments, and Technology teams

Requirements: • 8-10 years in applied AI or investment analytics • Proficient in Python and SQL • Knowledge of institutional investment products • Experience with semantic layers and data models • Familiarity with Snowflake and Microsoft Fabric

Utilize your expertise in data science to shape HOOPP's analytics and investment insights. #J-18808-Ljbffr

📌 Senior Manager for Data Science at HOOPP (Toronto)
🏢 HOOPP (Healthcare of Ontario Pension Plan)
📍 Toronto