VP, Data & Financial Modeling - Scale & Deliver

Goldman Sachs (lateral); New York (NY); On-site; USD 180,000 - 320,000; Full time

Job summary

Goldman Sachs (lateral) is seeking an experienced data modeling and forecasting professional to build reusable data pipelines and data products across databases, lakehouse, and cloud platforms such as Anaplan, improving data quality, lineage, orchestration, and performance.

You will maintain and enhance operational models for business management, work with modelers to productionize complex models, and support forecasting, planning, and scenario design with robust testing, controls, and

Qualifications

• Bachelor's or Master's degree in a quantitative or technical field such as Statistics, Electrical Engineering / Computer Science, Applied Mathematics, Economics, Physics, or Engineering.
• Eight (8) or more years of relevant experience spanning data, modeling, forecasting, financial-planning technology, or software-enabled analytical products.
• A track record of taking ownership of existing operational models, maintaining and improving them for business-management use, and scaling analytical solutions for sustained production.

Responsibilities

• Build reusable data pipelines and data products across databases, lakehouse and cloud platforms, Anaplan, and other enterprise systems; improve data quality, lineage, orchestration, and performance.
• Maintain, and improve existing operational models used for business management. Strengthen existing architectures and help new development start with production needs in mind.
• Partner with modelers from prototype onward to turn complex statistical and machine learning models into reliable, maintainable products with appropriate testing, controls, monitoring, documentation, and operational support for forecasting, planning, and scenario design.
• Develop and support practical models for financial planning, with focus on pipeline-style models (for e.g. headcount projections) that can serve as independent challenger models to test business forecasts and identify key assumptions, risks, and alternative outcomes.
• Support production economic scenario generation and other DAG-heavy modeling workflows, making complex calculation graphs scalable, observable, reproducible, and easy for downstream teams to consume.
• Apply agentic development selectively to improve data discovery, model workflows, controls, scenario analysis, and reporting, with appropriate evaluation and safeguards.
• Set pragmatic technical direction and represent a central function across multiple divisions: understand distinct needs, manage senior stakeholders, mediate competing priorities, and build consensus around reusable solutions. Review designs and code, mentor practitioners, and maintain a responsive, service-oriented partnership with Finance, Risk, Engineering, and business teams.

Skills

Quantitative modeling

Forecasting

Data engineering

SQL

Python

R

Stakeholder management

Leadership

Education

Bachelor's or Master's degree in a quantitative or technical field

Tools

Spark

Databricks

Anaplan

Job description

Goldman Sachs (lateral) is seeking an experienced data modeling and forecasting professional to build reusable data pipelines and data products across databases, lakehouse, and cloud platforms such as Anaplan, improving data quality, lineage, orchestration, and performance.

You will maintain and enhance operational models for business management, work with modelers to productionize complex models, and support forecasting, planning, and scenario design with robust testing, controls, and