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AI Business Analyst​/Consultant

Job in New Brunswick, Middlesex County, New Jersey, 08903, USA
Listing for: Robert Half
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager, AI Engineer (Applied/Software)
Job Description & How to Apply Below
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.
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