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Associate Director – Commercial AI Tech Lead

Application ends: August 22, 2026
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Job Overview

  • Date Posted
    May 23, 2026
  • Location
    Remote
  • Expiration date
    August 22, 2026

Job Description

JOB  DETAILS

Requirements
  • Solid understanding of machine learning techniques, model evaluation, and real world deployment considerations.
  • Experience evaluating third party AI solutions and comparing them with internally developed approaches.
  • Experience working in regulated environments with awareness of privacy, compliance, and explainability requirements.
  • Strong communication and collaboration skills with the ability to influence without formal authority.
  • Experience supporting AI initiatives in a matrixed enterprise environment.
  • Experience working with commercial data sources such as CRM, claims, promotional, and digital engagement data.
Responsibilities
  • Apply data science expertise for AI and advanced analytics solutions across Commercial use cases such as forecasting, targeting, segmentation, personalization, omnichannel engagement, and commercial optimization.
  • Provide technical expertise in Generative AI applications for field teams (e.g., pre-call planning), marketing teams (e.g., content generation or market research), operations teams (e.g., knowledge summarization and search), etc.
  • Evaluate the technical quality of AI solutions, including (where applicable) LLM strategy, solution architecture, model design, featurization, data requirements, validation approaches, explainability, monitoring, and scalability.
  • Review and challenge analytical approaches, assumptions, and outputs from internal teams and external vendors to ensure solutions meet Jazz standards for rigor, trust, and compliance.
  • Support technical assessments of build versus buy options for commercial AI capabilities, considering time to value, cost, scalability, extensibility, vendor dependency, and long term ownership.
  • Participate in technical due diligence of vendor solutions, including review of methodologies, data usage, solution transparency, and operational readiness.
  • Contribute clear technical input and recommendations to inform investment and solution implementation decisions. Evaluate build versus buy frameworks.
  • Support prioritization of commercial AI initiatives by assessing feasibility, data readiness, implementation complexity, adoption readiness, and potential business impact.
  • Partner with commercial and analytics stakeholders to define success metrics and ensure AI solutions are designed to deliver measurable value.
  • Define pilot or MVP solutions that test solution applicability, confirm value measurement and define supporting process changes.
  • Identify opportunities to reuse, standardize, or scale AI capabilities across brands, markets, or commercial functions.
  • Remain hands on as needed, contributing to or reviewing development, experimentation design, feature engineering, and analytical pipelines.
  • Apply best practices in data science, including model validation, bias assessment, explainability, and documentation appropriate for a regulated environment.
  • Support the responsible application of advanced analytics, machine learning, and generative AI techniques in commercial contexts.
  • Partner closely with Commercial, DEC Data Engineering, Architecture, and Security teams and Privacy and Compliance teams to support delivery of scalable, secure AI solutions.
  • Translate complex technical concepts into clear, actionable guidance for non-technical stakeholders.
  • Ensure commercial AI solutions align with enterprise data, AI, security, and governance standards.
Desired Qualifications
  • Bachelor’s degree with advanced training or experience in Data Science, Statistics, Computer Science, Engineering, Social science fields (quantitative psychology, quantitative sociology, or economics) or a related quantitative field; advanced degree preferred.

 

 

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