Sector Evals-Marketing,Retail and Insurance

Hello Everyone,

We at Datamundi are looking for Sector Evals-Finance Experts in Marketing,Retail and Insurance.

Please find the below job description.

Job Description – Retail 
Role Overview:
We are seeking an experienced Retail Subject Matter Expert (SME) with creative thinking and problemsolving skills to join our AI training and model development team. The ideal candidate will bring deep 
expertise in the retail sector—including operations, merchandising, supply chain, store management, and 
customer experience—and will help train, evaluate, and fine-tune AI models to ensure accuracy, domain 
relevance, and contextual understanding.
You will work cross functional teams of data scientists, AI engineers, and product teams to build 
intelligent retail solutions such as virtual assistants, demand forecasting tools, and customer insight 
engines.
Key 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.
Required Qualifications:
• 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.

Job Description- Insurance 
We are seeking an experienced Insurance Subject Matter Expert (SME) to join our multidisciplinary team supporting 
the development, evaluation, and improvement of AI models used across insurance processes. The ideal candidate 
will bridge domain expertise and data-driven insights to ensure our AI systems are accurate, compliant, and aligned 
with industry standards and business objectives.
Key Responsibilities
• 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.
• Worked in atleast one top 10 insurance companies of the world having experience in AL/ML designed 
insurance application related to Underwriting of the insurance business.
• Good experience in ruberics, prompt engineering and AL/LM model or collabarative worked with the 
engineering team for building up claims, policy administration product development.
Qualifications
• 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

Job Description – Marketing 
Role Overview:
We are looking for a Marketing Subject Matter Expert (SME) with strong domain knowledge and analytical 
acumen to help train, evaluate, and fine-tune AI models for marketing. This individual will serve as the 
bridge between marketing strategy and AI systems, ensuring that models accurately understand 
marketing concepts, workflows, and business goals.
The ideal candidate brings hands-on experience across the marketing funnel—from campaign strategy 
and content creation to analytics and optimization—and a passion for leveraging AI to enhance marketing 
intelligence and automation.
You will collaborate with data scientists, engineers, and product teams to help build next-generation AI 
models capable of powering marketing assistants, campaign optimizers, and predictive analytics tools.
Key Responsibilities:
• Domain Training & Annotation
o Provide domain expertise during model training, ensuring AI systems understand 
marketing terminology, logic, and workflows.
o Label, curate, and validate datasets containing marketing materials (ad copy, campaign 
briefs, KPIs, customer segments, etc.).
o Design realistic scenarios and data prompts representing different marketing contexts 
(e.g., brand launches, A/B testing, multichannel campaigns).
• Workflow Simulation & Process Mapping
o Translate end-to-end marketing workflows (e.g., campaign planning → execution → 
measurement → optimization) into structured training data for AI learning.
o Identify decision points, metrics, and dependencies in marketing operations that AI 
systems must recognize.
o Collaborate with ML engineers to represent these workflows in AI-friendly formats 
(taxonomies, knowledge graphs, or structured datasets).
• Model Evaluation & Feedback
o Review AI-generated outputs for marketing relevance, creativity, tone, and compliance.
o Provide structured feedback and improvement strategies to improve model 
understanding and response quality.
o Develop and refine evaluation criteria (e.g., campaign effectiveness, audience relevance, 
brand consistency).
• Strategic Collaboration & Innovation
o Partner with product teams to define AI-driven marketing use cases (campaign 
recommendations, content personalization, audience segmentation, performance 
prediction).
o Bring a creative problem-solving mindset to identify opportunities where AI can improve 
marketing efficiency and decision-making.
o Stay current with evolving marketing technologies, data platforms, and generative AI 
tools to inform model enhancement.
Required Qualifications:
• 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:
o Campaign strategy and execution (digital, social, performance, and/or brand marketing)
o Marketing automation tools (HubSpot, Salesforce Marketing Cloud, Marketo, etc.)
o Analytics and measurement workflows (Google Analytics, Looker, Power BI, etc.)
o Customer segmentation, journey mapping, and content strategy
o Media planning, A/B testing, and ROI optimization
o Seo research using AI/ML methodology to get the best output 

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.
Ideal Workflow Experience:
The candidate should have practical experience managing or contributing to several of the following 
workflows:
1. Campaign Lifecycle Management:
o Brief creation, creative development, approval, launch, tracking, and post-campaign 
analysis.
2. Performance Marketing:
o Keyword research, bidding strategy, conversion tracking, and A/B testing.
3. CRM & Marketing Automation:
o Lead scoring, email drip campaigns, segmentation, personalization, and customer 
retention programs.
4. Content Strategy & Social Media:
o Editorial calendar planning, content generation, influencer marketing, and engagement 
analytics.
5. Data-Driven Marketing
o Using data to optimize campaigns, build dashboards, and interpret KPIs.
6. Brand & Communication:
o Managing tone, consistency, and storytelling across channels

       This would be 20 hours per week and the duration would be 3 months which might extend to one year.

      Regards,

      Valencia Lewis

      Thank you!!