Data and AI Consultant - Emiratization & UAE Talent Development | Song

About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent and innovation led company with 733,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Accenture Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients succeed and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. About the Role We are seeking a dynamic Data & AI Consultant with strong expertise in applying advanced analytics, artificial intelligence, and machine learning to marketing and business challenges. This role blends technical consulting with marketing strategy, enabling clients to harness data-driven insights and AI-powered solutions to optimize customer engagement, personalize campaigns, and maximize ROI. The ideal candidate is equally comfortable building analytical models as they are advising senior marketing leaders on how to leverage data and AI for growth. 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. Preferred Background • Degree in Data Science, Computer Science, Marketing Analytics, or a related field. • Prior experie

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.

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.