Role Overview

As a senior-level individual contributor, you will establish and scale enterprise-grade data governance while leading advanced Workday analytics. You will bridge the gap between People Operations, Finance, and IT to ensure data integrity, regulatory compliance (SOX, GDPR), and innovation through Gen AI-driven reporting.

Key Responsibilities

1. Data Governance & Stewardship

• Framework Ownership: Define and maintain enterprise data standards, policies, and ownership models.

• Compliance & Privacy: Partner with Legal and Security to ensure alignment with GDPR and HIPAA.

• Documentation: Manage data dictionaries, metadata, and lineage to ensure transparent data accountability.

2. Advanced Workday Reporting & Analytics

• Report Architecture: Design complex Advanced, Matrix, Composite, and Trending reports using Workday Prism and Discovery Boards.

• System Optimization: Build scalable calculated fields and optimize report performance across HCM, Payroll, and Finance.

• Insights: Translate complex business requirements into actionable, high-performance dashboards for leadership.

3. Compliance, SOX & Audit

• Control Management: Maintain SOX controls, ITGCs, and automated data checks to ensure "audit-ready" reporting.

• Risk Mitigation: Support internal audits, monitor control deficiencies, and lead timely remediation of gaps.

• Access Reviews: Oversee user access and Segregation of Duties (SoD) reporting.

4. Data Quality & Integrity

• Automated Oversight: Develop automated exception reporting and quality checks to proactively detect anomalies.

• Root Cause Analysis: Lead investigations into data inconsistencies and implement permanent remediation strategies.

• Continuous Improvement: Drive the evolution of data governance maturity across all HR systems.

5. Strategic Collaboration

• Business Partnership: Consult with People and Finance leaders to provide data-driven recommendations.

• Literacy & Training: Upskill business users on reporting tools and data best practices to foster a data-centric culture.

Qualifications

Required:

• Experience: 8-10+ years in Data Governance, HRIS, or Analytics; 5-8+ years of hands-on Workday Reporting.

• Technical Depth: Expert knowledge of Workday data structures, security models, and complex calculated fields.

• Compliance: Proven track record managing data quality initiatives and audit/compliance requirements.

Preferred:

• Knowledge of global data privacy regulations.

• Workday HCM or Reporting Certifications.

• Experience implementing Gen AI or automation frameworks within People Operations.

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#LI-Onsite

In this role, you will be acting as a key architect for AI-driven modernization and serve as the lead for Toronto’s Talent, Development, and Experience (TDE) ecosystem within the global L&D team. You will bridge the gap between local employee experience and global AI enablement, moving our internal processes from manual design to scalable, AI-assisted models. 

This role is critical in moving the organization from manual, program-based learning models to intelligent, scalable, AI-assisted systems of development.

Key Responsibilities

Own the strategy, delivery, and evolution of Toronto's learning and talent experience.

• Lead end-to-end execution of programs for the Toronto site (onboarding, manager development, employee experience).
• Serve as the local extension of the global onboarding strategy, ensuring programs scale effectively while meeting site-specific needs.
• Embed learning into day-to-day workflows to drive sustained behavior change, not one-time participation. 
• Own manager capability programs locally.
• Partner with Workplace and senior leaders to activate the office as a culture and development hub.
• Track engagement, adoption, and business impact at the site level.

Drive AI modernization across design and delivery.

• Help define and operationalize an AI enablement strategy.
• Identify high-friction workflows and redesign them using AI-assisted solutions (e.g., copilots, automation, content generation, knowledge retrieval)
• Source, test, and model AI solutions (LLMs, content automation, workflow enablement).
• Move the organization from AI awareness to measurable adoption.
• Apply AI tools to accelerate learning design, personalization, and program iteration.
• Advise senior leaders on AI-enabled learning innovation.

Act as a Strategic Consulting Partner

• Reframe requests into solution pathways (e.g., workflow redesign, manager enablement, AI augmentation, or targeted learning)
• Facilitate working sessions to help teams identify friction points and redesign how work gets done
• Advise teams and leaders on AI-enabled talent strategies, manager effectiveness, and future-of-work capabilities
• Balance local needs with global priorities, ensuring alignment while advocating for site-specific solutions

This role is ideal for someone who thrives operating across the full spectrum of talent development — one day facilitating a manager workshop, the next designing scalable AI-powered learning solutions that shape the future of how we work.

Relationships

• Partner closely with senior leaders, People Business Partners, and cross-functional stakeholders to ensure learning initiatives directly support business outcomes
• Act as a strategic advisor on AI enablement and manager effectiveness
• Build strong, trust-based partnerships across global teams
• Thrive in a fast-moving, evolving environment with shifting priorities
• Serve as a reliable, proactive communicator, ensuring transparency on timelines, risks, and impact

Education and Experience Requirements

• 5+ years of experience in leadership development, learning strategy, or program management
• Demonstrated experience leading complex, enterprise-wide learning initiatives
• Experience integrating AI tools and technology into learning design and/or workflow enablement strongly preferred
• Strong background in instructional design with a focus on measurable behavior change
• Experience designing and scaling manager development programs (feedback, coaching, performance enablement)
• Organized with exceptional attention to detail
• Strong consulting, communication, and facilitation skills
• Data-driven mindset with the ability to define and measure impact
• Ability to anticipate challenges and proactively drive solutions
• Adaptable and comfortable operating in ambiguity

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#LI-hybrid

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