Data & AI Consultant

Full Description

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.

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 casesDeliver 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.

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.

Key Skills: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 , PromptingFamiliarity with cloud ecosystems (Azure, AWS, GCP) for AI deployment.

Professional SkillsExcellent 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. 4+ years of work experience.