Senior Manager, Data Science & Analytics

Job Description

Senior Manager Data Science & Analytics

Global Data & Analytics Alimentation Couche-Tard

Location: Dublin Ireland or Riga Latvia

JOIN OUR TEAM! At Circle Kour mission is simple: to make our customers lives a little easier every day. You may have already stopped for coffee refueling your car or eating something on the go. Then you know what Circle K is. Since the opening of a first store in Laval Québec our parent company Alimentation Couche-Tard has never ceased to grow. We have grown into a successful global company with over 17300 stores in 29 countries serving almost 8.5 million customers every total more than 146000 people work in our stores and offices. We make journeys easier by offering fast and friendly service. We care about our people and our communities and we look for ways to uplift people first. Wherever your journeys going we can help you get there.Are you ready to grow your career Lets grow together!

THE ROLE

Were seeking an innovative and dynamic 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 this role you will leverage your deep expertise in data analytics engineering and visualization to design develop and deploy advanced models for priority loyalty and digital experience use cases transforming customer behavior insights into actionable business strategies in a fast-paced retail environment. You will 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.

Our loyalty program EXTRA is one of our most valuable assets boasting millions of members across Europe. Highly data-driven and innovative the program leverages advanced segmentation behavioral analysis and predictive modeling to create personalized offers that enhance customer engagement and long-term value. As the program continues to grow rapidly it plays a critical role in building lasting relationships and driving our business forward.

As a key leader on the Global Data & Analytics team you will collaborate cross-functionally with Marketing Digital Operations and Technology teams to ensure our analytical solutions are fit to serve and that our data-driven initiatives deliver personalized customer experiences. Experience working with digital product teams is highly preferred as it will be instrumental in transforming customer insights into digital innovations and measurable business outcomes. A background working with large-scale customer loyalty programs and knowledge with personalization strategy execution through Customer Data Platform (CDP) will be essential to our success.

WHAT YOULL DO

• 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.

WHAT YOULL NEED

• Masters degree required (Ph.D. preferred) in Data Science Computer Science Statistics Applied Mathematics Engineering or a related analytical discipline. An advanced business degree is a plus.

• 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. Knowledge of personalization strategies execution through Customer Data Platform (CDP) is a competitive advantage.

• 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 including Data Engineering Machine Learning Engineering Architecture and Platform partners.

• 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.