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, Transforma...