VP of Data, Modeling & Forecasting Platforms

SRI Conference; New York (NY); On-site; USD 140,000 - 220,000; Full time

Job summary

SRI Conference is seeking a senior data modeling and engineering professional in New York, NY. The role focuses on building reusable data pipelines and production-grade models for forecasting, planning, and scenario design within enterprise environments.

We value strong SQL/Python/R skills, experience with lakehouse and cloud platforms, and the ability to coordinate cross-functional teams to deliver reliable, testable analytics products at scale.

Qualifications

• Bachelor's or Master's degree in a quantitative or technical field as listed in the ad.
• Eight or more years of relevant experience spanning data, modeling, forecasting, financial-planning tech, or software-enabled analytics.
• Track record of owning and scaling operational models for production use.

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; reinforce architectures for production readiness.
• Partner with modelers from prototype onward to turn complex statistical and ML models into reliable products with testing, controls, monitoring, and documentation.

Skills

Practical Modeling

Forecasting

Data Engineering

Programming & Production

Planning & Scenario

Agentic Development

Cross-Divisional Leadership

Education

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

Tools

SQL

Python

R

Spark/Databricks

Job description

SRI Conference is seeking a senior data modeling and engineering professional in New York, NY. The role focuses on building reusable data pipelines and production-grade models for forecasting, planning, and scenario design within enterprise environments.

We value strong SQL/Python/R skills, experience with lakehouse and cloud platforms, and the ability to coordinate cross-functional teams to deliver reliable, testable analytics products at scale.