Teams at Sun Life Financial, Inc.

Designs and engineers enterprise data models, pipelines, and data products supporting analytics and data science across business units. Ensures data quality, governance, integrity, metadata standardization, and performance optimization. Partners with business stakeholders, data analysts, data scientists, governance teams, and risk partners to translate complex requirements into production-ready solutions and derive business insights from large datasets.

Develop and implement data science and machine learning solutions for Canadian business units. Translate business goals into analytical problems, build and evaluate models, perform feature engineering, and use AWS services including SageMaker and Glue. Collaborate with stakeholders, communicate insights, create technical designs, and support analytics innovation. Preferred work includes GenAI, LLM APIs, RAG, vector databases, Docker, and CI/CD.

Leads an enterprise transformation program spanning multiple business and technology workstreams. Establishes governance, integrated planning, financial and resource management, risk and dependency resolution, executive reporting, business readiness, change management, implementation, and benefit realization. Partners with senior stakeholders and steering committees to align priorities, facilitate decisions, manage trade-offs, and deliver measurable business outcomes in a complex matrixed environment.