Sr. Manager, Data Science

Work location :

Home Office 1303 Yonge St

City : Toronto

Toronto

What you will do :

Sr. Manager, Data Science

Hybrid work environment 3 days per week from the Cineplex corporate headquarters at 1303 Yonge Street, Toronto (Yonge and St. Clair).

The Sr. Manager, Data Science will join the Data Insights & Monetization leadership team to enable the organization with industry-leading data science capabilities to optimize the customer experience.

The successful candidate will play a leadership role in evolving the data science models and capabilities for Cineplex, managing a high-performing team that can execute end-to-end project delivery and adoption, and leading the enablement of best practices and latest innovation across the wider organization.

The Sr. Manager is responsible for developing and delivering the short- and long-term capabilities roadmap, building a highly engaged team, and partnering with cross-functional stakeholders as the data science subject matter expert to drive incremental business value.

Key Responsibilities :

Strategy & Thought Leadership

• Develop and evolve the Data Science vision, strategy, and roadmap in collaboration with stakeholders
• Act as the Data Science and Machine Learning subject matter expert with a deep understanding of models / algorithms, data architecture, business processes / operating models, as well as technology integrations to deliver value for the organization
• Establish a Data Science Community of Practice within Cineplex to facilitate the sharing of standard models and capabilities, best practices, and emerging industry-leading innovation

People Leadership & Team Development

• Lead and develop a team of Data Scientists and Machine Learning Engineers to ensure continuous learning and effective resource management
• Coach, mentor, and upskill team members to support their personal and professional career goals
• Set clear and measurable goals and objectives that are aligned with the organization’s strategic priorities, as a team and individual team members

Delivery & Collaboration

• Responsible for the timely delivery of Data Science projects and roadmap, including operationalizing models into production for business use
• Collaborate with cross-functional stakeholders to understand their needs and communicate findings / solutions to influence business decision-making
• Communicate overall program milestones, accomplishments, learnings, and opportunities to foster a data-driven culture

Education and Certification :

Bachelor / Master’s in Engineering, Computer Science, Statistics, Mathematics, or related technical specialty

Experience :

• 7+ years’ experience in data science with demonstrated experience of delivering impactful solutions into operational processes
• 3+ years’ experience of managing a team of data scientists
• Experience in data cloud technologies (i.e. Azure, Databricks, Snowflake)

Knowledge, Skills and Abilities :

• Deep understanding of data science / machine learning techniques and building / managing predictive and optimization models
• Excellent communication and interpersonal skills to convey complex concepts in simple terms to non-technical stakeholders and executive leadership
• Strong planning, coordination, prioritization, and project / program management skills with exceptional attention to detail
• Comfortable with managing parallel streams of work with the ability to perform effectively in an environment with many competing demands
• Effective leadership skills to foster a strong team culture and team development
• Proven ability to work creatively and analytically in a cross-functional, problem-solving environment

Inclusion & Diversity

Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce.

We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture.

By valuing a diverse workforce, we enforce hiring practices that are fair and equitable.

Accessibility

While we appreciate all interest, only those candidates selected for an interview will be contacted.