Technical Product Manager (AI & Data Science)

Company: The Intersect Group

Location: Atlanta, GA

Type: Full-time

Posted: 2026-08-05

About this role

Technical Product Manager (AI & Data Science)

Position Overview

We are seeking an experienced Technical Product Manager to drive the development and delivery of innovative, data-driven products that enhance business performance, improve operational efficiency, and elevate customer experiences. This role will focus on creating incremental business value through strategic product enhancements, cross-functional collaboration, and the integration of advanced analytics and AI-driven capabilities.

The Product Manager will partner closely with Data Science, Engineering, Marketing, Technology, and Business stakeholders to define product strategy, manage roadmaps, and support the development of scalable solutions within a customer data and personalization ecosystem. This is a highly visible opportunity to influence the direction of emerging AI and analytics initiatives while helping shape future-state product capabilities.

This is a contract-to-hire opportunity requiring onsite work five days per week.

Key Responsibilities

Product Strategy & Roadmap Management

  • Define, maintain, and prioritize product roadmaps aligned with business objectives and customer needs.
  • Drive product initiatives from concept through delivery, ensuring measurable business value and user impact.
  • Develop and communicate product vision, goals, and strategic direction to stakeholders at all levels of the organization.
  • Identify opportunities to improve operational efficiency, customer satisfaction, and business outcomes through innovative product solutions.

AI, Analytics & Data Product Development

  • Partner with Data Science teams to support the development and implementation of:
  • Predictive propensity models
  • Next Best Action models
  • Advanced analytics and AI-driven solutions
  • Translate business requirements into actionable product requirements for technical teams.
  • Support the integration of analytics and AI capabilities into enterprise customer data platforms and orches...

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