About the job
As a Senior Business Intelligence Engineer, you operate within one of the world’s most complex data environments, owning the design and evolution of scalable, high-impact, and AI-ready data infrastructure. You bring deep expertise in data modeling and large-scale dataset design, building reliable, well-governed data foundations that support both analytics and AI/ML use cases. You partner with business and technical leaders to define ambiguous problem spaces, shape key business questions, and drive AI-enabled insights that improve TOM Operations efficiency, automation, and decision-making.
Responsibilities
Own and build scalable, automated reporting and analytics solutions, enabling self-service insights across TOM Operations.
Develop AI-ready data models and datasets, driving AI-enabled insights to improve operational efficiency and decision-making.
Partner with business and technical stakeholders to translate ambiguous problems into data-driven solutions and influence strategy.
Design and optimize robust, cost-efficient data pipelines and metrics frameworks, ensuring data quality and reliability.
Build and evolve business-critical dashboards and KPIs, raising the bar on insight quality and usability.
Drive process simplification and automation, including leveraging AI to accelerate insight generation and reduce manual effort.
Qualifications
Minimum
5+ years of processing large, multi-dimensional datasets from multiple sources experience
5+ years of SQL, ETL or Oracle experience
5+ years of developing automated reporting experience
Experience programming to extract, transform and clean large (multi-TB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership