DATAmundi · 2 months ago
Sector Evals-Marketing,Retail and Insurance
New York, NY
Contract
Hybrid
Mid, Senior Level
3+ years expDATAmundi is seeking experienced Sector Evals-Finance Experts in Marketing, Retail, and Insurance to join their AI training and model development team. The role involves providing domain expertise and collaborating with cross-functional teams to enhance AI models across various sectors, ensuring accuracy and relevance to industry standards.
Translation Service
Responsibilities
Serve as the retail domain expert during the training and fine-tuning of AI models, ensuring contextual accuracy and industry relevance
Develop knowledge bases, taxonomies, and ontologies that reflect retail industry standards and best practices
Annotate, label, and validate datasets with domain-specific knowledge (product categories, inventory terms, pricing, promotions, etc.)
Collaborate with AI/ML engineers to design training data strategies, evaluation metrics, and prompt engineering techniques tailored to retail applications
Provide expert feedback on model outputs, identifying errors, ambiguities, and opportunities to improve model reasoning and performance
Partner with product and analytics teams to align AI capabilities with business objectives such as improving sales, forecasting demand, or enhancing customer engagement
Stay current with emerging trends in retail technology and AI, bringing innovative ideas for practical implementation
Provide domain expertise during model training, ensuring AI systems understand marketing terminology, logic, and workflows
Label, curate, and validate datasets containing marketing materials (ad copy, campaign briefs, KPIs, customer segments, etc.)
Design realistic scenarios and data prompts representing different marketing contexts (e.g., brand launches, A/B testing, multichannel campaigns)
Translate end-to-end marketing workflows (e.g., campaign planning → execution → measurement → optimization) into structured training data for AI learning
Identify decision points, metrics, and dependencies in marketing operations that AI systems must recognize
Collaborate with ML engineers to represent these workflows in AI-friendly formats (taxonomies, knowledge graphs, or structured datasets)
Review AI-generated outputs for marketing relevance, creativity, tone, and compliance
Provide structured feedback and improvement strategies to improve model understanding and response quality
Develop and refine evaluation criteria (e.g., campaign effectiveness, audience relevance, brand consistency)
Partner with product teams to define AI-driven marketing use cases (campaign recommendations, content personalization, audience segmentation, performance prediction)
Bring a creative problem-solving mindset to identify opportunities where AI can improve marketing efficiency and decision-making
Stay current with evolving marketing technologies, data platforms, and generative AI tools to inform model enhancement
Collaborate with AI, data science, and product teams to evaluate AI models used in underwriting, claims processing, risk assessment, and pricing
Identify gaps, biases, and limitations in existing models and contribute domain insights for improvement
Validate AI outputs against real-world insurance practices, regulatory requirements, and customer experience standards
Define key metrics and success criteria to measure model performance and business relevance
Support data labeling and annotation by providing insurance-specific context and expertise
Assist in designing explainable AI frameworks to enhance model transparency and trustworthiness
Stay current with insurance regulations, compliance standards, and emerging AI applications in the sector
Qualification
Required
Bachelor's or Master's degree in Business, Retail Management, Supply Chain, Data Analytics, or related field
3-5 years of experience in the retail sector (e.g., merchandising, operations, category management, supply chain, or e-commerce)
Proven ability to translate business processes into structured data requirements
Strong analytical and communication skills, with the ability to articulate complex retail concepts for technical and non-technical teams
Familiarity with retail data systems such as ERP, POS, CRM, or inventory management software is a plus
5–10 years of experience in the retail sector (e.g., merchandising, operations, category management, supply chain, or e-commerce)
Proven ability to translate business processes into structured data requirements
Strong analytical and communication skills, with the ability to articulate complex retail concepts for technical and non-technical teams
Experience with AI/ML concepts (data annotation, prompt design, model evaluation) preferred—but deep retail expertise is essential
Familiarity with retail data systems such as ERP, POS, CRM, or inventory management software is a plus
Bachelor's or Master's degree in Marketing, Business, Communications, or related field
7–12 years of hands-on experience in marketing, with exposure to: Campaign strategy and execution (digital, social, performance, and/or brand marketing), Marketing automation tools (HubSpot, Salesforce Marketing Cloud, Marketo, etc.), Analytics and measurement workflows (Google Analytics, Looker, Power BI, etc.), Customer segmentation, journey mapping, and content strategy, Media planning, A/B testing, and ROI optimization
Proven ability to translate real-world marketing problems into structured data or process documentation
Excellent communication and documentation skills—able to articulate domain logic clearly to technical teams
Experience collaborating cross-functionally with data science, product, or engineering teams
Bachelor's or Master's degree in Insurance, Risk Management, Actuarial Science, Business, or a related field
7+ years of experience in the insurance industry (underwriting, claims, risk modeling, or product management)
Strong understanding of insurance operations, policy structures, and regulatory frameworks
Experience collaborating with cross functional team
Preferred
Experience with AI/ML concepts (data annotation, prompt design, model evaluation) preferred—but deep retail expertise is essential
Company
DATAmundi
DATAmundi is a premier provider of AI data services. We are strategically positioned to meet the evolving demands of today’s businesses.
201-500 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2020-02-21Acquired
2015-05-18IPO
Company data provided by crunchbase