Lead Solutions Engineer, Financial Forecasting & Analytics-Vice President

Help shape how business-critical macroeconomic forecasts are generated, controlled, and delivered across the firm. In this role, you will modernize a complex forecasting workflow. You’ll partner closely with Finance, Technology, Transformation, and Governance teams to deliver resilient production solutions and lead a global team while staying hands-on in architecture and engineering.
As a Lead Solutions Engineer in Financial Analysis Data Science Center of Excellence, you will own the end-to-end macroeconomic variables forecast generation and distribution process and modernize it into a reliable, controlled operating process. You’ll translate complex business requirements into well-engineered solutions that improve transparency, auditability, and scalability. You will collaborate across teams to align architecture, governance, and delivery outcomes. You will lead and develop a global team while remaining technically engaged. You will also contribute to advancing AI/ML-based forecasting and analytics capabilities.
Job responsibilities
Own the implementation and successful execution of the end-to-end MEV generation and distribution process.
Architect and implement automation to replace manual and offline steps with governed, auditable workflows
Translate complex business requirements into scalable, maintainable engineering solutions with clear controls and documentation
Lead solution design and systems integration across data sources, platforms, and downstream consumers
Advance AI/ML-enabled productivity and forecasting initiatives from concept through production adoption
Lead and develop a global team of engineers and data analysts through hands-on mentorship, standards-setting, and talent development
Required qualifications, capabilities, and skills
Master’s degree (or equivalent) in Computer Science, Data Science, Quantitative Finance, or a related field
8+ years of experience in engineering, data or platform delivery, analytics enablement, or technology roles in a large, complex organization
Demonstrated ownership of full software delivery lifecycles from requirements through release and ongoing production support
Proven ability to design, architect, integrate, and implement end-to-end solutions across multiple systems and platforms
Strong programming and scripting skills (for example, Python and advanced MS Excel)
Experience with modern data platforms (e.g., Databricks), cloud environments (e.g., AWS), and SDLC tooling (e.g., CI/CD).
Data querying and data engineering skills (e.g., SQL)
Experience delivering AI/ML-based solutions in an enterprise environment
Demonstrated people leadership experience, including coaching, performance support, and delivering outcomes through others across multiple locations
Strong stakeholder management skills with the ability to drive alignment and execution across Finance, Technology, Transformation, and Governance teams