Teams at Sedona Digital

Leads end-to-end business analysis for a Finance/FP&A data product, including discovery, requirements, workshops, process and data analysis, stakeholder alignment, prioritization, UAT, traceability, and implementation readiness. The role analyzes impacts across Finance, Oracle, Workday, data pipelines, controls, and reporting; coaches other analysts; and ensures requirements are testable, documented, and aligned with business outcomes.

Own the strategy, roadmap, governance, delivery, and lifecycle of a Premium data product within a Finance Transformation program. Lead discovery across insurance and finance data flows, align definitions and quality standards, manage cross-functional teams and dependencies, and drive adoption of trusted, reusable data for reporting and decision-making.

Develop and deploy machine learning and statistical models that solve business problems and create measurable impact. Responsibilities include exploratory data analysis, feature engineering, experimentation, model optimization, explainability, MLOps, prompt engineering, and cloud-based data collaboration. The role involves working with clients and stakeholders, communicating insights through visualization and storytelling, and contributing to scalable analytics, Generative AI, and data science solutions.