Lead Solutions Engineer, Financial Forecasting & Analytics - Vice President

What you'll do

• Own the end-to-end macroeconomic variable forecast generation and distribution process.
• Architect and implement automated workflows to replace manual steps with governed, auditable processes.
• Translate complex business requirements into scalable, maintainable engineering solutions with clear documentation.
• Lead solution design and systems integration across various data sources, platforms, and downstream consumers.
• Advance artificial intelligence and machine learning-based forecasting initiatives from concept to production.
• Lead and develop a global team of engineers and data analysts through mentorship and standards-setting.

What we're looking for

• Master’s degree in Computer Science, Data Science, Quantitative Finance, or a related field.
• At least eight years of experience in engineering, data/platform delivery, analytics enablement, or technology roles in large organizations.
• Demonstrated ownership of full software delivery life cycles from requirements through release and production support.
• Proven ability to design, architect, integrate, and implement end-to-end solutions across multiple systems and platforms.
• Strong programming and scripting skills, such as Python and Microsoft Excel.
• Experience with modern data platforms (e.g., Databricks), cloud environments (e.g., AWS), and CI/CD pipelines.
• Data querying and data engineering skills, such as SQL.
• Experience delivering AI and machine learning-based solutions in an enterprise environment.
• Demonstrated people leadership experience, including coaching and performance support for global teams.
• Strong stakeholder management skills to drive alignment across Finance, Technology, Transformation, and Governance teams.