Director, Centre for Institutional Data and Enterprise Analytics

Seneca College; Toronto; On-site; CAD 80,000 - 130,000; Full time

Job summary

An established industry player is seeking a visionary leader to spearhead its data revolution. As the Director of the Centre for Institutional Data and Enterprise Analytics, you will drive the development and implementation of cutting-edge data strategies that align with institutional goals. This dynamic role involves transforming business data into actionable insights, fostering a culture of innovation, and leading analytics initiatives that propel informed decision-making. With a focus on collaboration and stakeholder engagement, you will play a pivotal role in shaping the future of data analytics within the organization. If you are passionate about leveraging data to create impactful actions, this opportunity is perfect for you.

Qualifications

• 8+ years of experience in data analytics across various industries.
• Strong expertise in statistical techniques and predictive modeling.
• Leadership experience in analytical or data-driven fields.

Responsibilities

• Lead and implement data analytics and governance strategies.
• Manage financial planning and resource allocation for strategic goals.
• Collaborate with stakeholders to align data initiatives with goals.

Skills

Data Analytics

Statistical Techniques

Predictive Modeling

Project Management

Problem Solving

Education

Graduate degree in Statistics

Graduate degree in Applied Mathematics

Graduate degree in Computer Science

Tools

SQL

Python

Tableau

Power BI

Hadoop

NoSQL databases

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 cutting-edge data strategy, propelling the advancement of data analytics practices that align seamlessly with Seneca's strategic goals and objectives.

In this dynamic role, you will transform business data into actionable insights, identifying key issues, analyzing trends and projecting outcomes to drive informed decision-making. Your mission: to turn data into knowledge and knowledge into impactful action, all while fostering a culture of innovation and collaboration.

Your expertise will be the driving force behind the creation of advanced data models, architectures and best practices, positioning Seneca Polytechnic at the forefront of data advancements. Join us and lead the charge in shaping the future of data analytics.

This role will have a hand in developing, implementing and overseeing comprehensive institutional planning strategies that align with Seneca's Strategic Plan, while ensuring equity, diversity and inclusion in all decision-making and implementation of new initiatives.

Here's What's On Your Horizon

Strategic Planning

• Lead and implement institutional data analytics and governance strategies, collaborating with stakeholders to ensure alignment with institutional goals.
• Monitor and evaluate the performance of Seneca to ensure goals and objectives are met, making recommendations for improvement.
• Develop and maintain a comprehensive data governance plan aligned with Seneca's objectives, identifying crucial operations, assessing risks, and prioritizing recovery activities.
• Collaborate on the implementation of a reliable, scalable and efficient data technology architecture, including operational integrations, data pipelines and data warehouse solutions.
• Create and maintain comprehensive data models that describe critical aspects of the business, ensuring alignment with regulatory requirements.
• Oversee the design of data integrations between operational source systems, ensuring reliable, timely, and consistent data flow.
• Lead development, implementation and tracking of data governance policies and procedures, ensuring data quality, accuracy, security and compliance with industry regulations.
• Collaborate with data governance, data engineering, and application development teams to ensure data quality at the source.

Analysis and Planning

• Lead data analytics initiatives from conception through process mapping, risk analysis, financial analysis, resource allocation, contract management, and performance evaluation.
• Support and make recommendations regarding the sequencing, planning, and execution of institution-wide data projects.
• Develop organizational and strategic awareness of cross-institutional priorities and strategies to identify synergies and opportunities for coordination.
• Guide the implementation of analytic data pipelines and a data warehouse to consolidate raw system data and transform it into business objects for reporting and AI/ML modeling.
• Define KPIs and create visualization reports to guide executive decision-making.
• Drive enhancements in user-friendliness in the creation, presentation and dissemination of information.
• Lead the collection and integration of data from multiple sources.
• Ensure the integrity and reliability of data by addressing inconsistencies and errors.
• Utilize statistical techniques and machine learning to analyze data and develop predictive models.

Financial Planning

• Manage financial planning, forecasting and budgeting processes to efficiently allocate resources for strategic goals while maintaining financial discipline.
• Maintain consolidated financial reports for leadership review after each budget or estimate planning cycle.
• Responsible for managing budgets and resources to ensure the institution has the necessary resources to achieve its goals and objectives, working closely with departments to identify and allocate resources accordingly.

Stakeholder Collaboration

• Collaborate with leadership to study markets, evaluate new business prospects, define goals and strategies, and establish departmental policies and processes.
• Foster strong relationships with internal and external stakeholders and gather input for strategic planning.
• Represent the institution on campus committees and with provincial and national planning organizations, sharing findings across academic and service areas.

Leadership and Team Management

• Establish institutional planning objectives and work plans, delegate assignments, and provide leadership and input for institutional goals and policies.
• Guide research, project and planning design, data analysis, and presentation, managing ongoing activities.

What You Bring to Seneca

• 8+ years of relevant experience in applying analytics or working with data across various industries.
• Leadership or management experience, including project management in analytical or data-driven fields.
• Strong expertise in statistical techniques, data mining and predictive modeling.
• Familiarity with tools such as SQL, Python, Hadoop, NoSQL databases, Tableau, and Power BI.
• Knowledge of PeopleSoft data model.
• Experience with optimization modeling, machine learning, forecasting, and natural language processing.
• Ability to interpret data in a business context, work with ambiguous data, develop creative solutions, and interpret results from a postsecondary perspective.
• Enthusiasm for solving complex problems with analytical tools and a desire to develop skills further.
• Graduate degree in Statistics, Applied Mathematics, Mathematical Physics, Computer Science or related field.

Note: A skills assessment test will be administered during the recruitment process.

As part of our commitment to dismantling barriers to success, Seneca may consider applicants with an equivalent combination of education and experience.