Data Analytics Group Manager

Executas HR and Business Solutions; Fatih; On-site; TRY 300,000 - 600,000; Full time

Job summary

Executas is seeking a Group Manager – Data Analytics and Customer Channel Experience to lead CRM, customer analytics and data governance initiatives. This role shapes customer strategy through data, AI and advanced analytics, guiding cross-functional teams and delivering measurable commercial impact.

The ideal candidate has proven leadership in CRM, data analytics and AI-driven solutions, with a track record of building scalable analytics platforms, dashboards and predictive models that drive

Qualifications

• Strong expertise in CRM strategy and customer lifecycle management.
• Solid knowledge of data analytics, data mining and predictive analytics.
• Ability to integrate artificial intelligence and machine learning applications into business processes.
• Proficiency in Power BI and similar business intelligence tools.
• Knowledge and experience in data modelling, data engineering and data governance.
• Strong command of SQL, relational databases and data warehouse structures.
• Competence in Python-based data analysis and the development of automation solutions.
• Ability to translate complex data into actionable insights and measurable commercial outcomes.
• Strategic thinking, commercial acumen and a data-driven approach to decision-making.
• Strong leadership, collaboration and stakeholder management capabilities.

Responsibilities

• Develop, implement and continuously improve the company’s CRM strategy.
• Manage the end-to-end customer lifecycle, including customer acquisition, activation, engagement, retention and win-back initiatives.
• Enhance the customer experience by developing segmentation, targeting and personalisation models.
• Create strategies to increase customer value, loyalty and Customer Lifetime Value (CLV).
• Interpret data from all customer touchpoints to identify customer-centric growth opportunities.
• Analyse large datasets to generate actionable insights into customer behaviour, purchasing habits and marketing performance.
• Manage analyses relating to customer trends, churn risks, basket behaviour and purchase potential.
• Support strategic decision-making through data mining and business intelligence applications.
• Define, monitor and evaluate critical KPIs related to CRM performance.
• Contribute to the development of a data-driven decision-making culture across the organisation.
• Integrate AI, ML and advanced analytics into CRM processes.
• Lead the development of predictive models to forecast customer behaviour.
• Develop and manage analytical models relating to campaign performance, churn risk, cross-selling and customer value forecasts.
• Improve the effectiveness of customer interactions through automation and AI-driven solutions.
• Collaborate with data science teams to identify and develop new use cases for algorithms and analytical models.
• Ensure the effective design and management of CRM data architecture, data models and data flows.
• Support data governance policies that promote quality, security and compliance.
• Lead the effective use of CRM infrastructure, databases and analytical platforms.
• Collaborate with data engineering teams to improve data integrity, accessibility and usability.
• Ensure the effective use of SQL-based analytics, relational databases and data warehouse structures.
• Develop executive dashboards and performance reports using Power BI and similar BI tools.
• Measure and regularly report the commercial outcomes of CRM activities.
• Manage analyses relating to customer segments, campaign performance and loyalty programmes.
• Identify and implement automation and standardisation opportunities within reporting processes.

Skills

CRM strategy

Customer lifecycle management

Data analytics

Predictive analytics

Leadership

Stakeholder management

Strategic thinking

Tools

Power BI

SQL

Python

Data warehousing

Job description

Group Manager – Data Analytics and Customer Channel Experience

We are looking for a leader who goes beyond reporting data—someone who can translate customer insights into measurable commercial value.

Executas is seeking a Group Manager – Data Analytics and Customer Channel Experience for one of its clients. This position will strengthen the company’s customer strategy through data, advanced analytics and artificial intelligence while leading CRM, customer analytics, data management, predictive modelling and personalisation initiatives.

The role offers a broad area of influence, ranging from end-to-end customer lifecycle management and strategic insight generation to AI-driven analytical models, data governance and team leadership.

Key Responsibilities

CRM Strategy and Customer Lifecycle Management

• Develop, implement and continuously improve the company’s CRM strategy.
• Manage the end-to-end customer lifecycle, including customer acquisition, activation, engagement, retention and win-back initiatives.
• Enhance the customer experience by developing segmentation, targeting and personalisation models.
• Create strategies to increase customer value, loyalty and Customer Lifetime Value (CLV).
• Interpret data from all customer touchpoints to identify customer-centric growth opportunities.

Data Analytics and Insight Management

• Analyse large datasets to generate actionable insights into customer behaviour, purchasing habits and marketing performance.
• Manage analyses relating to customer trends, churn risks, basket behaviour and purchase potential.
• Support strategic decision-making through data mining and business intelligence applications.
• Define, monitor and evaluate critical KPIs related to CRM performance.
• Contribute to the development of a data-driven decision-making culture across the organisation.

Artificial Intelligence and Predictive Analytics

• Integrate artificial intelligence, machine learning and advanced analytics applications into CRM processes.
• Lead the development of predictive models designed to forecast customer behaviour.
• Develop and manage analytical models relating to campaign performance, churn risk, cross-selling and customer value forecasts.
• Improve the effectiveness of customer interactions through automation and AI-driven solutions.
• Collaborate with data science teams to identify and develop new use cases for algorithms and analytical models.

Data Management and Technology Leadership

• Ensure the effective design and management of CRM data architecture, data models and data flows.
• Support the implementation of data governance policies that promote data quality, security and compliance.
• Lead the effective use of CRM infrastructure, databases and analytical platforms.
• Collaborate with data engineering teams to improve the integrity, accessibility and usability of customer data.
• Ensure the effective use of SQL-based analytics, relational databases and data warehouse structures.

Reporting and Business Intelligence

• Develop executive dashboards and performance reports using Power BI and similar business intelligence tools.
• Measure and regularly report the commercial outcomes of CRM activities.
• Manage analyses relating to customer segments, campaign performance and loyalty programmes.
• Identify and implement automation and standardisation opportunities within reporting processes.

Team and Stakeholder Management

• Provide strategic direction to CRM, customer analytics and data teams.
• Work closely with Marketing, Digital Channels, Data Science, Technology, Commercial and Operations teams.
• Support the professional development of team members and manage performance and talent development processes.
• Promote a customer-centric and data-driven working culture across the organisation.

Candidate Profile

• Strong expertise in CRM strategy and customer lifecycle management.
• Solid knowledge of data analytics, data mining and predictive analytics.
• Ability to integrate artificial intelligence and machine learning applications into business processes.
• Proficiency in Power BI and similar business intelligence tools.
• Knowledge and experience in data modelling, data engineering and data governance.
• Strong command of SQL, relational databases and data warehouse structures.
• Competence in Python-based data analysis and the development of automation solutions.
• Ability to translate complex data into actionable insights and measurable commercial outcomes.
• Strategic thinking, commercial acumen and a data-driven approach to decision-making.
• Strong leadership, collaboration and stakeholder management capabilities.

If you are motivated by the opportunity to shape customer strategy through data and technology, transform advanced analytics into tangible business outcomes and lead cross-functional teams around a shared customer vision, we look forward to receiving