1.Develop and implement a comprehensive CVM strategy that focuses on customer acquisition, retention, growth, and advocacy.

2.Lead the CVM team in analyzing customer data to identify segments, preferences, and opportunities for value creation.

3.Develop and manage targeted customer programs and initiatives to drive engagement, satisfaction, and loyalty.

4.Partner with Marketing, Sales, and Product Development to ensure a customer-centric approach across all departments.

5.Track and monitor key performance indicators (KPIs) related to customer acquisition cost (CAC), CLTV, Net Promoter Score (NPS), and churn rate.

6.Oversee the BI team in gathering, analyzing, and interpreting customer data to generate actionable insights.

7.Identify trends and opportunities for improvement based on customer data analysis.

8.Develop and implement data-driven strategies to optimize customer touchpoints and personalize the customer journey.

9.Ensure data accuracy, consistency, and accessibility across the organization.

10.Translate data insights into clear and concise reports and presentations for senior management.

11.Provide strategic direction and leadership for the CVM and BI teams, fostering a collaborative and data-driven work environment.

12.Develop and mentor team members, ensuring they have the skills and resources to succeed.

13.Stay informed about industry trends and best practices in customer value management and data analytics.

1.Bachelor's degree in Business Administration, or a related field (MBA preferred).

2.Minimum 7+ years of experience in a leadership role within customer experience, marketing, or a related field.

3.Proven track record of success in developing and implementing customer value management strategies.

4.Strong understanding of customer lifecycle management principles.

5.Extensive experience in data analysis, business intelligence, and translating data into actionable insights.

6.Excellent communication, interpersonal, and leadership skills.

7.Ability to work effectively with cross-functional teams across the organization.

8.Experience in the telecommunications industry a plus.

9.Proficiency in data analysis tools (e.g., SQL, Tableau) and CRM software