Manager, Data Science - Jobs in Toronto

Job Description

Job DescriptionMISSIONThe Manager of Data Science leads Indigo’s data science and AI practice, supporting the business by building and maintaining Indigo’s AI and ML models and building and publishing segmentations and audiences for targeting, all of which power Indigo’s personalization strategy. KEY PERFORMANCE METRICS

• Customer engagement through high-quality predictive models.
• Revenue growth through improved assortment and pricing modelling
• Traffic, frequency and retention of our strategic customer segments
• Strength of relationships with key leaders across Merchandising, Marketing and Channel Leadership
• Team employee engagement
• Accuracy of analyses and results in a timely manner

KEY ACCOUNTABILITIESFunctional

• Act as an advocate for the customer by placing them at the forefront of all design and decision-making processes.
• Build and maintain Indigo’s Data Science practice.
• Build and champion business processes that leverage predictive modelling, segmentations, product recommendations, and targeted promotions and offers.
• Support the development of Indigo’s data language and ensure it is used throughout the business.
• Manage the priorities and backlog of the data science team, with accountability for deliverables #39; quality, budget, and timeliness.
• Prioritize coaching, development, and knowledge sharing across the data science team, and introduce learnings from global best practices.
• Act as a subject matter expert and ambassador in Indigo’s data structure, tools, processes, key metrics, and analytic methodologies
• Identify and integrate technology to create an innovative and efficient data science team
• Challenge the status quo and consistently identify areas for improvement, diagnose issues and working to resolve them

People

• Build strong teams by attracting and developing the best talent
• Bring out the best in others, empower and constructively stretch talent
• Give authentic feedback on performance and potential
• Ensure all team members understand where they stand and have clear performance objectives aligned with Indigo and team goals
• Collaborate with others to drive flexible and iterative solutions, quickly and easily
• Share technical knowledge with others and actively seek to learn from those more knowledgeable than yourself
• Help others see the impacts of their efforts and proactively engage other functions to get input
• Encourage others to freely share their point of view and be open to feedback
• Accountable for the overall engagement, productivity, turnover and bench strength of the team

Cultural

• Model Indigo’s beliefs and convey a positive image in everything you do
• Celebrate diversity of thought and have an open mindset
• Take an active role in fostering a culture of continual learning, taking risks without the fear of making mistakes
• Embrace, champion and influence change through your team and/or the organization

SCOPEReports to: Senior Director, Data Science OperationsKEY RELATIONSHIPSInternal:

• Digital Marketing
• Loyalty
• Merchandising
• Online
• IT
• Business Intelligenceamp; Digital Analytics teams

External:

• Third-party consultants
• Contract programmers (data management)
• CRM/Loyalty technical support

#LI-Hybrid