Customer Analytics Lead @ Capgemini

Drive Customer Analytics deals, locating and cultivating opportunities for improvement and business growth within customer analytics domains.
Provide strategic leadership to guide the company''s direction, aligning business goals with market opportunities and ensuring long-term growth and success.
Define and oversee data/AI analytics solution approaches technical designs, providing guidance on development, testing, and deployment in areas such as customer insight generation, digital customer journey optimization, and marketing and campaign effectiveness.
Strengthen the company''s brand presence and thought leadership in the customer analytics space, positioning the company as a trusted leader in innovative solutions.
Lead the development of assets and frameworks for selling and delivering Customer Insight solutions, streamlining service offerings and enhancing go-to-market strategies.
Build client trust through close collaboration, driving projects and managing risks

Bachelors/Masters Degree in Computer Engineering, Computer Science, or a related field.
15+ years of experience working in a consulting/advisory environment where they focused on Customer Transformation using AI Analytics.
Experience with integrating customer data from multiple sources, such as CRM systems, marketing automation platforms, and third-party databases, to create a comprehensive customer view.
Strong understanding of the value of data, with experience in processing behavioral and transactional data from various sources, applying predictive analytics, machine learning, and AI to improve customer insights, personalization, and retention strategies.
Bring in GenAI driven transformation within customer analytics space.
Ability to identify opportunities for process and technology improvement, defining data-driven use cases and creating associated business cases
Experience facilitating dynamic workshops with clients to identify pain-points, desires, current state, solution paths, solution designs, etc
in leading and delivering large-scale data solutions, managing enterprise-level projects, and overseeing technical and advisory teams.
Deep Expertise in one of the sectors like Life Sciences, CPR, Auto or Manufacturing

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