Director, IT Data Analytics

Job Summary

CECO Environmental is a global leader in providing sustainable solutions for industrial air, water, and energy transition. Since 1966, we’ve been addressing the world’s most pressing environmental challenges. Our mission is to protect people, the environment, and industrial equipment, making a tangible impact across industries like renewable energy, semiconductor manufacturing, power generation, and water treatment. As a purpose-driven company, we foster a culture of innovation, collaboration, and integrity, ensuring that every project we undertake creates lasting positive change. At CECO, Finish you’ll be part of a growing, dynamic team committed to a cleaner, safer, and more sustainable future.

 

As part of the CECO corporate team, you will play a key role in supporting the continued growth and success of our global family of brands. Whether working in finance, HR, IT, accounting, marketing, or another corporate function, your expertise will help drive efficiency and innovation across our organization. By joining CECO, you’ll be part of a company committed to protecting the environment and enhancing industrial operations, all while fostering a collaborative and purpose-driven work environment.

 

The Director, Data Analytics and Integration provides strategic leadership for shaping the company’s enterprise-wide data and AI vision, building a scalable data ecosystem, and driving measurable business value through innovation. This leader will be accountable for setting the direction for the organization’s enterprise data governance, architecture, and analytics programs. The Director will serve as the subject matter expert and advisor for data analytics and data integration, working with executive leadership, business stakeholders, product development teams, enabling information as a trusted, governed, and strategic enterprise asset.

 

Your Responsibilities Will Be:

• Enterprise Data & AI

 

• Defines and executes the company’s enterprise data and analytics strategy in alignment with corporate goals.• Champion ethical AI use, governance, and workforce enablement.• Promotes data and AI as strategic assets of innovation, efficiency, and competitive advantage.

 

• Leadership & Governance

• Leads enterprise-wide data governance programs, stewardship councils, and executive steering committees.• Oversees knowledge worker enablement programs to increase data and AI literacy across the company.• Ensures compliance with data privacy, security, and AI regulations.

 

• Data Architecture & Microsoft Platform Leadership

• Provides strategic oversight of enterprise data architecture and integration within a Microsoft-centric environment (Azure, Dynamics 365, Power Platform, Power BI, SQL Server).• Directs the design, deployment, and scaling of modern analytics platforms, data integration pipelines, and BI solutions.• Ensuring enterprise data is structured, secure, and optimized for analytical and operational use.

 

• Global Team Leadership

• Manages and mentors both onshore and offshore resources, ensuring global alignment on data and analytics initiatives.• Builds a high-performing, collaborative, and scalable data organization across geographies.• Balances internal expertise with partner/vendor resources to optimize delivery and innovation.

 

• Business Partnership & Enablement

• Engages with senior leaders across business units to identify opportunities where data and AI can enable growth, efficiency, and transformation.• Partners with IT and product development teams designing scalable solutions for future data science and predictive analytics capabilities.• Drives adoption of standardized data practices and promotes alignment and re-use of enterprise data assets.

 

• Operational Excellence

• Directs data classification, audits, and compliance measures to protect sensitive and critical information.• Ensures cost efficiency in managing enterprise data while maximizing return on investment.• Implements proactive risk management, monitoring, and continuous improvement processes for data and AI initiatives. • Lead day-to-day analytics and business intelligence function and/or team(s) in support of our business strategies and functional area outcomes.

 

• Responsible for data source identification, requiring knowledge of functional business domain and scenarios, categories of data and where it is held, business data requirements, database technologies, and data quality.

• Develop business cases for projects and initiatives, translate business requirements into strategies, and align the team to the business strategy while executing deliverables.

• Identify and recommend the most suitable visualization tools based on context and define application design based on customer req