Marketing Domain Expert (Subject Matter Expert)

TransPerfectAnywhere in U.S., NY
15dRemote

About The Position

DataForce by TransPerfect is seeking experienced Marketing Subject Matter Experts to support a next-generation Generative AI and analytics project. In this role, you will leverage your marketing expertise to design workflows, create evaluations, and provide guidance that ensures AI models deliver accurate, insightful, and business-relevant results in the field of marketing strategy, analytics, and communication.

Requirements

  • 10+ years of professional experience in one or more of the following areas: Brand Strategy / Marketing Communications, Digital Marketing / Performance Marketing, Marketing Analytics / Attribution / Media Mix Modeling, Product Marketing or Go-to-Market Strategy, Market Research / Consumer Insights, Public Relations / Crisis Communication.
  • Prior experience in the U.S. Marketing or Advertising sector , ideally with leading companies such as: Omnicom Group The Interpublic Group (IPG) Accenture Interactive Publicis Sapient (US-based division of Publicis Groupe) VML (Part of WPP, with a massive US presence) Dentsu (US operations) Havas (US operations) Acxiom Wieden+Kennedy BBDO (Part of Omnicom Group)
  • Proven ability to translate complex marketing concepts (e.g., attribution modeling, consumer psychology, pricing strategy) into structured frameworks and measurable steps.
  • Strong analytical and strategic thinking skills; comfortable working with both creative and data-driven marketing tasks.
  • Excellent communication skills In English to articulate marketing concepts to technical and non-technical audiences.
  • High attention to detail, strong organizational skills, and a deep understanding of marketing best practices.

Nice To Haves

  • Familiarity with AI, machine learning, or marketing automation technologies is a plus.

Responsibilities

  • Workflow Definition: Define core marketing workflows such as campaign planning, segmentation, attribution modeling, media mix optimization, product positioning, and brand management.
  • Evaluation Creation: Develop realistic test cases and evaluation metrics to measure how effectively AI systems perform tasks like creative ideation, market analysis, customer segmentation, and message optimization.
  • Capability Assessment: Assess the model’s performance across marketing functions including consumer insights, content marketing, brand strategy, marketing analytics, and PR/crisis communication management.
  • Data Curation & Annotation: Identify, refine, and label high-quality marketing data (e.g., ad copy, campaign results, brand assets) for training and improving AI models.
  • Feedback & Iteration: Review AI outputs, provide structured feedback, and recommend improvements to enhance the model’s marketing reasoning, accuracy, and real-world applicability.
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