AI Business Analyst/Consultant

Description

We are looking for an experienced AI Business Analyst/Consultant to lead data science, analytics, and product insight initiatives for a growing organization in Edison, New Jersey.

This Long-term Contract position will shape how data, experimentation, and AI are used to guide product strategy, improve decision-making, and deliver measurable business value.

The role works closely with cross-functional leaders to turn complex information into practical recommendations while advancing scalable analytics capabilities across the business.

Responsibilities

• Direct and strengthen a team of data science and product analytics professionals, encouraging high standards, collaboration, and ongoing development.
• Establish the vision and execution plan for analytics and data science initiatives so product and business decisions are supported by reliable insights.
• Act as the product lead for the data platform by setting priorities, refining requirements, and guiding roadmap delivery.
• Drive the broader AI and analytics roadmap, including initiatives that support customer-facing intelligence and data-enabled product enhancements.
• Oversee the lifecycle of machine learning and analytical solutions, from design and deployment through performance tracking and continuous optimization.
• Guide the product analytics environment, including Amplitude, to create scalable measurement approaches and deliver actionable reporting.
• Promote disciplined experimentation and evidence-based decision-making by introducing strong analytics practices and performance frameworks.
• Define and monitor key product and divisional metrics to ensure outcomes remain aligned with strategic business objectives.
• Partner with stakeholders across product, design, engineering, marketing, and leadership teams to translate data findings into growth-focused actions.
• Evaluate emerging AI technologies and modern tools such as Databricks, Python, and Azure-based solutions to expand organizational analytics capability.

Requirements

• Proven experience leading analytics, data science, or AI-focused teams in a business-facing environment.
• Strong background in product analytics, business intelligence, and data-driven strategy development.
• Hands-on knowledge of analytics and visualization tools such as Power BI and Tableau.
• Experience working with modern data and AI technologies, including Python, Databricks, and cloud-based platforms such as Azure.
• Ability to communicate complex analytical concepts clearly to technical and non-technical stakeholders.
• Demonstrated success defining performance metrics, experimentation frameworks, and actionable reporting structures.
• Capability to influence cross-functional leaders and align analytics priorities with broader business goals.
• Additional academic or practical exposure to disciplines such as Political Science or Criminal Justice is considered beneficial.

Technology Doesn't Change the World, People Do.