Director, Centre for Institutional Data and Enterprise Analytics

Company: Seneca
Location: Ontario
Posted on: May 6, 2025

Job Description:

Reporting to the Associate Vice President of Planning, you will be at the helm of Seneca's data revolution. As the Director, Centre for Institutional Data and Enterprise Analytics, you will spearhead the development and implementation of our data strategy, advancing data analytics practices aligned with Seneca's strategic goals.
In this role, you will transform business data into actionable insights, identify key issues, analyze trends, and project outcomes to support informed decision-making. Your goal: to turn data into knowledge and knowledge into impactful action, fostering a culture of innovation and collaboration.
Your expertise will drive the creation of advanced data models, architectures, and best practices, positioning Seneca Polytechnic at the forefront of data advancements. Join us and lead the future of data analytics.
This role involves developing, implementing, and overseeing comprehensive institutional planning strategies that align with Seneca's Strategic Plan, ensuring equity, diversity, and inclusion in decision-making and initiatives.
Here's What's On Your Horizon
Strategic Planning

• Lead and implement institutional data analytics and governance strategies, collaborating with stakeholders to align with institutional goals.
  
• Monitor and evaluate Seneca's performance, recommending improvements.
  
• Develop and maintain a data governance plan aligned with Seneca's objectives, assessing risks and prioritizing recovery activities.
  
• Implement a scalable data architecture, including data pipelines and warehouses.
  
• Create and maintain data models describing critical business aspects, ensuring regulatory compliance.
  
• Oversee data integrations between systems, ensuring reliable data flow.
  
• Lead the development and enforcement of data governance policies to ensure data quality, security, and compliance.
  
• Collaborate with teams to ensure data quality at the source.
  
  Analysis and Planning
  
  
• Lead data analytics projects from conception to evaluation, including risk and financial analysis.
  
• Support and advise on sequencing and executing data projects.
  
• Identify cross-institutional synergies and opportunities for coordination.
  
• Guide the development of data pipelines and a data warehouse for reporting and AI/ML modeling.
  
• Define KPIs and develop visualization reports for decision-making.
  
• Enhance user-friendliness in data presentation and dissemination.
  
• Integrate data from multiple sources, ensuring integrity and addressing errors.
  
• Apply statistical and machine learning techniques to analyze data and develop predictive models.
  
  Financial Planning
  
  
• Manage financial planning, forecasting, and budgeting processes to support strategic goals.
  
• Maintain consolidated financial reports for leadership review.
  
• Oversee resource allocation to meet institutional objectives, working with departments.
  
  Stakeholder Collaboration
  
  
• Work with leadership on market analysis, strategy, and policy development.
  
• Foster relationships with internal and external stakeholders for strategic input.
  
• Represent the institution on committees and external organizations, sharing findings with relevant areas.
  
  Leadership and Team Management
  
  
• Set planning objectives, delegate tasks, and provide leadership input.
  
• Guide research, project design, data analysis, and presentation activities.
  
  Qualifications
  

• 
  
• 8+ years of experience in analytics or data-related roles across industries.
  
• Leadership or project management experience in data-driven fields.
  
• Expertise in statistical techniques, data mining, and predictive modeling.
  
• Proficiency with SQL, Python, Hadoop, NoSQL, Tableau, Power BI.
  
• Knowledge of PeopleSoft data model.
  
• Experience with machine learning, forecasting, NLP.
  
• Ability to interpret data in a postsecondary context, work with ambiguity, and develop creative solutions.
  
• Enthusiasm for solving complex analytical problems and developing skills.
  
• Graduate degree in Statistics, Applied Math, Computer Science, or related field.
  
  Note: A skills assessment test will be part of the recruitment process. Seneca considers applicants with equivalent education and experience to promote diversity and inclusion.
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