Enterprise Operational Analytics & Governance Lead

Avison Young Canada•Toronto, ON

1d•Onsite

About The Position

We are seeking an experienced data leader to shape operational reporting consistency, enterprise data governance & master data across the operations of a global real estate business. You will help define the core data model and governance approach across CRM, Finance, HR, PSA systems, commissions, broker performance and marketing platforms, while shaping the roadmap for consistent analytics for visualisation and AI access to allow our business to Grow. You will assess the current landscape, build on what works, and drive practical standardisation, automation and improvement over time. This is a hands-on role focused on improving how operational data points & KPI’s are defined, governed, and used across a complex global environment. Success in this role will require strong stakeholder management, sound judgement, and the ability to balance global standards with local business needs. You will report to the VP, Global Enterprise Architecture.

Requirements

7–10+ years’ experience in enterprise data modelling, governance frameworks, and reporting standardisation
Experience working in complex, global organisations with multiple stakeholders and legacy processes
Proven ability to: Navigate organisational complexity and change
Proven ability to: Manage competing priorities across teams and regions
Proven ability to: Deliver incrementally while maintaining a clear strategic direction
Knowledge of: Real estate or other asset-based businesses
Knowledge of: Commission and revenue models
Knowledge of: Professional services and PSA systems
Knowledge of: Marketing and listing platforms
Knowledge of: Regulated and auditable reporting environments
Experience with platforms such as Salesforce, NetSuite, HR systems, and modern analytics tools including Power BI, Fabric, or Snowflake

Nice To Haves

Exposure to AI-enabled tools such as Microsoft Copilot is advantageous

Responsibilities

Review and simplify existing reporting approaches, including manual processes and Excel-based workarounds, to identify what should be standardised, retained, or replaced
Define enterprise KPIs, reporting standards, and data governance policies that support trusted, consistent reporting
Own the enterprise data model and core master data domains documentation
Establish clear data ownership, stewardship, and data quality practices across CRM, Finance, HR and beyond.
Improve source systems through structured change processes so data definitions, quality, and reporting logic are managed at source
Lead operational analytics delivery through partners and outsourced technology teams, ensuring alignment with enterprise priorities and standards
Work across regions and functions to resolve competing requirements and support practical global standardisation