CDP and AI Implementation Specialist

Job Summary:

We are seeking an experienced professional to lead the implementation and optimization of a Customer Data Platform (CDP) integrated with predictive and generative AI capabilities. This role will involve collaborating with cross-functional teams to create data-driven strategies for enhancing customer engagement, sales, and marketing outcomes.

Key Responsibilities:

1. CDP Implementation:
• Lead the end-to-end deployment of the Customer Data Platform across all relevant business functions.
• Oversee data integration from multiple sources (CRM, website, social media, paid ads).
2. AI Integration:
• Design and implement predictive and generative AI models for customer segmentation, lead scoring, churn prediction, and next-best-action analysis working with an implementation partner
• Ensure AI-powered personalization in marketing campaigns and customer journeys.
3. Data Strategy & Management:
• Collaborate with IT, Marketing, and Sales teams to define data architecture and governance.
• Ensure the CDP complies with data privacy regulations (e.g., GDPR).
4. Stakeholder Engagement:
• Work with marketing teams to align CDP capabilities with campaign goals.
• Train internal teams to use AI-enabled insights for decision-making.
5. Performance Monitoring:
• Set KPIs and evaluate the impact of AI models and CDP on business metrics like lead conversion, retention, and customer satisfaction.
• Provide regular performance reports and optimization recommendations.

Qualifications:

• Bachelors/Masters degree in Computer Science, Marketing, or a related field.
• 5+ years of experience in CDP implementation and AI/ML applications.
• Expertise in tools like Salesforce, Adobe Experience Cloud, or similar CDPs.
• Strong understanding of predictive analytics and generative AI.
• Proficiency in AI frameworks

Preferred Skills:

• Experience in real estate or other customer-centric industries.
• Familiarity with marketing automation platforms (e.g., Marketo, WebEngage).
• Knowledge of cloud platforms (e.g., AWS, GCP).

Year 1: Implement CDP and AI-led customer analytics capabilities, delivering lead scoring, personalization, data governance, and team enablement, resulting in digital contribution growth from 10% to 12.5%, improved campaign conversions, and 13.3 Cr brokerage savings.

Year 2: Scale CDP and AI adoption across business functions, enabling advanced segmentation, predictive analytics, and AI-driven decision-making, driving digital contribution from 12.5% to 15%, 35 Cr brokerage savings, and reduced customer churn.

Year 3: Lead enterprise-wide AI and data transformation through hyper-personalization, MarTech innovation, and strategic AI initiatives, increasing digital contribution from 15% to 19% and delivering 75 Cr brokerage savings