Accenture
Data & AI Consultant – Emiratization & UAE Talent Development | Song
- Permanent
- Dubai, United Arab Emirates
- Experience 2 - 5 yrs
- Urgent
Job expiry date: 26/04/2026
Job overview
Date posted
12/03/2026
Location
Dubai, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
2 - 5 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
26/04/2026
Job description
The Data & AI Consultant at Accenture Song in Dubai specializes in applying advanced analytics, AI, and machine learning to solve marketing and business challenges. This role combines technical data science expertise with strategic marketing consulting, enabling clients to drive customer engagement, improve personalization, and optimize ROI through AI-powered solutions. The consultant works with cross-functional teams, translating business goals into actionable AI strategies and implementing models that provide measurable business value.
Required skills
AI/ML model design and implementation
Marketing analytics and campaign optimization
Predictive analytics and customer segmentation
Natural Language Processing (NLP) for sentiment analysis
Dynamic pricing and recommendation engines
Data integration with CRM, CDP, and marketing automation tools
Dashboard creation and visualization
Marketing performance measurement and attribution modeling
Agentic AI frameworks for autonomous decision-making
Client consulting and stakeholder engagement
Workshop facilitation and AI training
Strategic roadmap development for AI adoption
Trend analysis in AI, marketing technology, and data
Key responsibilities
- Partner with clients to understand business goals in marketing, customer experience, and digital transformation.
- Translate marketing and business challenges into AI and data-driven solutions including segmentation, recommendation engines, predictive analytics, and customer lifetime value models.
- Develop implementation roadmaps for AI-driven marketing initiatives to improve personalization, targeting, and campaign performance.
- Design, build, and deploy AI/ML models for marketing use cases such as churn prediction, lead scoring, NLP sentiment analysis, and dynamic pricing.
- Work with structured and unstructured data to extract insights informing 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 and workflow orchestration in marketing.
- Deliver advanced marketing analytics including campaign effectiveness, attribution modeling, and customer journey analysis.
- Develop dashboards and visualizations to communicate actionable insights to marketing and leadership teams.
- Serve as a trusted advisor to clients, leading workshops and training sessions on AI in marketing and sharing best practices.
- Stay updated with emerging AI, analytics, and marketing technology trends and recommend strategic opportunities for adoption.
Experience & skills
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Marketing Analytics, or a related field.
- 2–5 years of experience in AI, data analytics, or marketing analytics consulting roles.
- Proficiency in AI/ML frameworks and tools (Python, R, TensorFlow, PyTorch, or equivalent).
- Experience with marketing technology platforms, CRM, CDP, and marketing automation integration.
- Strong knowledge of marketing analytics, predictive modeling, and customer segmentation.
- Ability to translate complex technical insights into business-relevant recommendations.
- Excellent client engagement, communication, and workshop facilitation skills.
- Analytical mindset with experience in advanced dashboarding and visualization (Power BI, Tableau, or similar).
- Familiarity with Agentic AI, autonomous workflows, and adaptive personalization in business contexts.
- Fluency in English; Arabic language proficiency is a plus.
- Ability to work collaboratively across cross-functional teams in fast-paced, client-facing environments.