AI Transformation Leader: Strategy to Scale

NielsenIQ

United States

On-site

USD 115,000 - 126,000

Full time

2 days ago
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Job summary

NielsenIQ is seeking an AI Transformation Lead to bridge business needs with AI and technology, ensuring practical, scalable solutions. The role partners with EIT, Product Leadership, CS Standards & Activation, and other enterprise teams to drive measurable improvements in operations and customer outcomes.

The ideal candidate blends deep business insight with hands-on AI fluency, can navigate ambiguity, and leads cross‑functional initiatives from discovery to implementation, delivering value at

Qualifications

  • 5+ years of experience in business transformation, consulting, product strategy, or related functions.
  • Experience leading cross-functional initiatives within a matrixed organization.
  • Ability to translate frontline work experience into transformation opportunities.
  • Experience partnering across business, Product, and Technology teams to realize initiatives.

Responsibilities

  • Partner with business leaders to identify high‑value AI-enabled transformation opportunities across functions.
  • Lead discovery workshops, stakeholder interviews, and process assessments to capture needs and growth opportunities.
  • Translate business challenges into clearly defined AI-enabled workflows and future-state operating models.
  • Develop business cases, implementation roadmaps, and milestones for value realization.
  • Lead transformation workstreams from opportunity identification through implementation and value realization.

Skills

Business acumen
Strategic thinking
Problem solving
Cross-functional leadership
Executive communication
AI fluency
Stakeholder management

Job description

NielsenIQ is seeking an AI Transformation Lead to bridge business needs with AI and technology, ensuring practical, scalable solutions. The role partners with EIT, Product Leadership, CS Standards & Activation, and other enterprise teams to drive measurable improvements in operations and customer outcomes.

The ideal candidate blends deep business insight with hands-on AI fluency, can navigate ambiguity, and leads cross‑functional initiatives from discovery to implementation, delivering value at

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