Why you'll love working here: high-performance, people-focused culture
our commitment that equity, diversity, and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic selves
learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees' career growth
membership in HOOPP's world class defined benefit pension plan, which can serve as an important part of your retirement security
competitive, 100% company-paid extended health and dental benefits for permanent employees, including coverage supporting our team's diversity and mental health (e.g., gender affirmation, fertility and drug treatment, psychological support benefits of $2,500 per year, parental leave top-up, and a health spending account).
optional post-retirement health and dental benefits subsidized at 50%
yoga classes, meditation workshops, nutritional consultations, and wellness seminars
the opportunity to make a difference and help take care of those who care for us, by providing a financially secure retirement for Ontario healthcare workers
Job Summary Reporting to the Director, Data Science & Modeling, Total Fund Analytics, the Senior Manager will lead the design, development, and scaling of advanced data science, AI-enabled analytics, semantic data modeling, and governed investment reporting capabilities across the Total Fund Analytics ecosystem.
The role requires hands-on work on applied AI, LLM/RAG-enabled analytics, governed semantic metric layers, curated investment datasets, data marts, and modern data engineering practices, while expanding the scope to senior leadership, cross-functional influence, delivery oversight, and strategic execution.



The Senior Manager will act as a trusted subject-matter leader, translating complex investment data, AI capabilities, metric definitions, and analytical models into explicit insights and recommendations that support Senior Management and Board-level oversight.
This is an individual-contributor role with no direct people-management accountability. The Senior Manager will provide indirect leadership by coaching junior staff, developing technical and business skills, sharing knowledge, guiding prioritization and strengthening of data quality and model governance practices, while collaborating with Finance, Investments, Technology, Data, and other cross-functional partners to advance HOOPP's Total Fund analytics, reporting automation, and AI-enabled insight generation capabilities.
What You Will Do Total Fund Data Science, Modeling and AI-Enabled Analytics Research and lead the implementation of Total Fund data science, modeling, semantic data, and AI-enabled analytics workstreams, ensuring effective planning, coordination, integrated delivery, strong controls, high-quality outcomes, and alignment with Total Fund Analytics and divisional priorities.
Lead the development and evolution of analytical and semantic data models including dimensional structures, curated aggregation layers, metric views, reusable datasets, and governed data products that make key investment metrics consistently retrievable across reporting, analytics, dashboards,



and AI interfaces.
Support the Director by providing senior technical oversight for the design, build, and maintenance of reliable ETL/ELT ingestion and transformation pipelines across enterprise data platforms such as SAP HANA, Snowflake, Microsoft Fabric, and other data environments, ensuring production discipline for governed reporting and AI-enabled consumption. Guide extension of semantic metric layers used by Power BI, Qlik, natural language interfaces, and other tools, ensuring that LLM/RAG solutions retrieve accurate, versioned, and governed metric definitions, business logic, and roll-ups. Review and challenge data models, metric definitions, AI outputs, reporting logic, and analytical results to strengthen quality, consistency, control effectiveness, transparency, and adoption of best practices. Embed data quality, lineage documentation, reconciliation controls, metric definitions, model documentation, and governance practices into pipeline, semantic model, and curated-layer design to support trusted investment reporting. Apply AI-assisted development, statistical analysis, machine learning, and traditional data science techniques to accelerate analytical prototyping, identify investment result drivers, create simulations, and enhance investment reporting insight. Research, Development and Strategic Delivery Lead and coordinate multiple concurrent research, development, and analytics engineering initiatives across Finance, Investments, Technology, Data, and other stakeholders, ensuring alignment to business priorities and timely delivery of practical outcomes.
Partner with business and technical stakeholders to identify high-value business requirements, natural-language analytics

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📌 Senior Manager, Total Fund Data Science and Modeling (Ontario)
🏢 HOOPP
📍 Ontario