The Director, Data & Analytics leads the development and execution of RCL’s data and analytics strategy, enabling actionable insights to enhance customer engagement and overall business performance. The Director will champion a data-driven culture by ensuring accurate and consistent digital and ecommerce measurement, developing meaningful performance frameworks, and leveraging advanced analytics, experimentation, and emerging technologies to identify opportunities for growth and optimization.
Key Responsibilities:
- Lead the enterprise Data & Analytics strategy and roadmap, establishing a clear vision, priorities, and multi-year roadmap for data, analytics, and AI capabilities aligned to RCL’s broader business strategy and growth objectives
- Develop the organization’s data and AI maturity, fostering data literacy, enabling self-service analytics where appropriate, and building a culture in which teams across the enterprise use data and AI confidently and responsibly to inform decisions
- Enable trusted, actionable business insights by establishing consistent metrics, reporting frameworks, dashboards, and analytical methodologies that enable leaders to understand performance and make informed decisions
- Build excellent partnerships with leaders across the Digital, eComm, Retail, Merchandising, Marketing and Finance teams, to identify opportunities where data and analytics can improve customer experience, profitability, and operational performance
- Strengthen digital and ecommerce analytics accuracy, ensuring robust measurement, tagging, tracking, attribution, and data quality across digital channels and ecommerce platforms to provide a reliable view of customer behaviour, channel performance, conversion, and the overall digital customer journey
- Improve marketing and channel measurement, developing sophisticated approaches to attribution, incrementality, customer acquisition, retention, media effectiveness, and ROI to optimize investment across channels
- Develop predictive and advanced analytics capabilities, including forecasting, segmentation, propensity modelling, experimentation, and AI/ML use cases that generate measurable business value
- Translate complex analytical findings into clear business recommendations, effectively communicating insights and implications to executive and non-technical audiences
- Establish enterprise-wide data governance and standards across RCL, including data definitions, quality standards, ownership, stewardship, accessibility, privacy, and governance practices that ensure data is trusted, consistent, secure, and fit for purpose across brands and functions.
- Partner with Technology on data architecture and platforms, helping define the enterprise data ecosystem, architecture, platforms, infrastructure, and tooling required to enable scalable analytics, AI, reporting, and business intelligence capabilities
- Build a high-performing analytics function, developing talent, ways of working, governance, and capabilities that enable the organization to become increasingly data-driven.
- Champion a culture of experimentation and continuous improvement, using analytics, testing, and evidence-based learning to identify what works, scale successful initiatives, and improve business outcomes
- Stay ahead of emerging technologies and methodology in data science and AI to bring the best innovation to RCL
- 10+ years of demonstrated experience in advanced analytics, data science and/or data engineering, preferably in retail, with at least 3 years in a leadership role
- Bachelors degree in Data Science, Computer Science, Statistics, Engineering or Mathematics. MBA or equivalent experience preferred
- Proven ability and experience leading teams to analyze customer data for actionable business insight
- Strong SQL skills for querying relational databases
- Deep expertise in Google Analytics and web analytics implementation
- Experience using and implementing visualization tools like Tableau, MicroStrategy or Power BI
- Experience with common machine learning libraries in R, Python, Spark is an asset
- Strong critical thinking, analytical and problem-solving skills, and excellent attention to detail
- Strong balance between the science of analytics, and the storytelling required to appropriately interpret business insights: skilled at turning complex analysis into simple conclusions and recommendations
- Technical data science & analytics leadership: ability and desire to coach the team to build technical skills
What Sets Us Apart:
- Ultimate Flexibility*: Enjoy a hybrid work environment that ensures the perfect balance between work and personal life.
- Well-Being First: Access a comprehensive benefits program designed to take care of you.
- Flexible Time Off*: Paid leave, sick days, and vacation time to recharge and spend quality time with loved ones.
- Exclusive Discounts*: Enjoy 50% off regular-priced items from PENN. Penningtons, Reitmans, and RW&CO.
- Referral Rewards*: Refer your professional network and earn a bonus for helping us grow our talented team
- Growth opportunities*: Annual bonuses, career advancement, and tuition reimbursement to help you reach your professional goals.
*Certain conditions apply
Total rewards are aligned with your employment status, offering different perks depending on whether you're full-time, part-time, or under contract.
Reitmans (Canada) Limited is an equal opportunity employer committed to a diverse, inclusive, and accessible workplace where everyone belongs. If you are contacted for an employment opportunity, please advise us of any accommodation required throughout the recruitment process. All information provided will be kept confidential and used solely to support an accessible candidate's experience.
The use of Artificial Intelligence may be used for candidate screening purposes.
We thank all applicants. Only selected candidates will be contacted.