Sr. Manager, Data Science

1 week ago

Toronto, Ontario, Canada Cineplex Full time

Work location:

Home Office 1303 Yonge St

City:

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

We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment oporunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at or via email at

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

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