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Circle K Logo Circle K · IT - Software Development

Senior Manager, Data Science & Analytics

Ireland, Dublin · Job Posted March 20, 2026
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Job Description

Senior Manager, Data Science & Analytics in the Customer, Digital & Marketing space to lead the development and implementation of cutting-edge customer data, analytics, and AI strategies that enhance personalization, optimize loyalty program, and drive business growth. Lead a high-performing team of data analysts, data scientists, and machine learning engineers, combining strategic vision with a hands-on approach to deliver innovative and impactful customer insights.

Job Responsibility

  • Collaborate with business stakeholders and digital product teams to define business requirements, KPIs, and acceptance criteria for customer loyalty and marketing analytics initiatives
  • Act as a data-driven thought partner to Loyalty and Marketing teams, providing analytical support and challenging priorities based on insights
  • Develop and own Customer Analytics Strategic Roadmap aligned with company goals, serving as the key decision maker for all Loyalty & Customer Data initiatives
  • Lead the design, development, and deployment of advanced analytics and AI/ML models to optimize customer segmentation, personalization, loyalty programs, and promotions
  • Oversee the end-to-end analytics and data science workflow including data preprocessing, feature engineering, model training, validation, deployment, and evaluation (e.g., A/B testing)
  • Partner with Marketing, Digital, Operations, and Technology to ensure robust data pipelines, scalable model deployment, and data-driven decision making
  • Enhance agility by proactively identifying and remediating data issues
  • Present actionable insights and recommendations to senior leadership to influence business strategies and continuously enhance the value generation from loyalty programs
  • Recruit, mentor, and lead a high-performing team, fostering a culture of continuous learning, innovation, and diversity
  • Provide guidance on career development, resource allocation, and recruitment for analytics talent

Requirements

  • Master's degree required (Ph.D. preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related analytical discipline
  • 8+ years of experience in data and analytics, including 3+ years in leadership roles driving large-scale projects, ideally within retail or customer/digital/loyalty domains
  • Extensive experience with data & analytics approaches such as exploratory data analysis, descriptive analytics, hypothesis testing, and A/B testing, as well as Agile development methodologies
  • Proficiency in programming languages such as Python, SQL, and R, along with hands-on experience on cloud-based platforms (e.g., Azure, Snowflake, Databricks)
  • Solid working knowledge of data engineering workflows including ETL processes, real-time and batch processing, model deployment, and version control best practices
  • Proven track record of delivering measurable results from customer loyalty programs in large retail environments
  • Ability to translate data, analytics, and AI/ML insights into actionable business strategies and outcomes, supported by a strong commercial mindset
  • Demonstrated ability in talent acquisition, team development, coaching, and mentoring
  • Excellent communication skills with the ability to clearly articulate technical information to all levels of the organization and collaborate effectively with cross-functional teams
  • Strong stakeholder management skills, with experience engaging diverse teams and senior leaders across geographies and managing multiple projects with clear prioritization and timeline communication
  • Collaborative and proactive, with the initiative to drive projects to successful completion
  • Adaptable to new and evolving technologies and business needs
  • Curious and committed to continuous learning in both business and technology domain

Nice to have

  • An advanced business degree is a plus
  • Experience working with digital product teams is highly preferred
  • Knowledge of personalization strategies execution through Customer Data Platform (CDP) is a competitive advantage

What we offer

  • Complete benefits packages (health insurance, pension contribution etc.)
  • Possibility of enrolling in stock purchase plan
  • Employee discount on fuel
  • Learning opportunities to develop new skills and to evolve professionally in a fast-growing company
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