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Data & AI Consultant

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Key Responsibilities

Consulting & Strategy

  • Partner with clients to understand their business goals, particularly in marketing, customer experience, and digital transformation.
  • Translate marketing challenges into data and AI solutions (e.g., segmentation, recommendation engines, predictive analytics, customer lifetime value models).
  • Develop roadmaps for implementing AI-driven marketing solutions that improve personalization, targeting, and campaign performance.

Data & AI Solutioning

  • Design, build, and implement AI/ML models for marketing applications (e.g., churn prediction, lead scoring, NLP for sentiment analysis, dynamic pricing).
  • Work with structured and unstructured data to generate insights that inform brand, product, and digital strategies.
  • Assess and integrate marketing technology platforms (CRM, CDP, marketing automation tools) with data pipelines and AI solutions.
  • Explore and apply Agentic AI frameworks to enable autonomous decision-making, workflow orchestration, and adaptive personalization in marketing use cases

Marketing Analytics & Insights

  • Deliver advanced marketing analytics, including campaign effectiveness, attribution modeling, and customer journey analysis.
  • Build dashboards and visualizations that communicate data-driven stories to marketing and leadership teams.
  • Provide actionable insights that drive customer acquisition, retention, and engagement.

Client Engagement & Enablement

  • Act as a trusted advisor to marketing and business stakeholders.
  • Lead workshops and training sessions on AI in marketing (generative AI, personalization, predictive modeling).
  • Stay ahead of AI, data, and marketing technology trends to guide clients on emerging opportunities.

  • 4+ years of work experience.
  • Good knowledge of AI/ML techniques (classification, clustering, NLP, recommendation engines, generative AI).
  • Proficiency in data analytics tools and programming (Python, R, SQL, Power BI/Tableau).
  • Experience with marketing technology platforms (HubSpot, Salesforce Marketing Cloud, Adobe Experience Cloud, Google Analytics).
  • Experience in building Agentic AI systems, conversational AI / AI bots , Prompting
  • Familiarity with cloud ecosystems (Azure, AWS, GCP) for AI deployment.

Professional Skills

  • Excellent communication and presentation skills; able to simplify complex data concepts for non-technical stakeholders.
  • Strong client-facing consulting experience.
  • Ability to work cross-functionally and manage multiple projects simultaneously.

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