AVP, Infrastructure & Engineering, Technology Data Management

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$175,000 - $215,000 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

The AVP, Technology Data Management is responsible for establishing and leading the enterprise capability for managing, governing, and operationalizing technology reference data across infrastructure, cyber, cloud, AI, and enterprise technology domains. The role will build and operate a Databricks-based data fabric that transforms fragmented technology data from multiple systems of record into a trusted, authoritative, and consumable enterprise asset.

This leader will define and implement data governance, taxonomies, common data models, metadata standards, and data products that enable enterprise-wide reporting, analytics, risk management, FinOps, operational management, and executive decision-making. The role serves as the central authority for technology reference data, ensuring data is accurate, governed, discoverable, and accessible through modern consumption channels including APIs, Power BI, and enterprise reporting platforms.

Key Accountabilities

Enterprise Technology Data Strategy

• Define and lead the enterprise strategy, operating model, and roadmap for technology reference data.

• Establish a scalable technology data fabric leveraging Databricks as the enterprise platform for technology data integration and consumption.