- Lead the end-to-end delivery of Data and AI initiatives supporting Wealth Management priorities, including planning, prioritization, execution, release management, stakeholder alignment, budget oversight, and value realization.
- Translate Wealth business priorities and enterprise Data and AI strategies into practical technology roadmaps with clear milestones, dependencies, outcomes, and delivery timelines.
- Oversee the implementation of data platforms, data pipelines, reporting and analytics solutions, AI-enabled capabilities, automation initiatives, integrations, APIs, and operational data products.
- Ensure compliance with enterprise standards related to cybersecurity, privacy, data governance, AI governance, architecture, regulatory requirements, operational resilience, and risk management.
- Partner with architecture, cloud, infrastructure, security, and data engineering teams to deliver scalable, secure, reusable, and supportable technology solutions.
- Manage a portfolio of Data and AI initiatives, including intake management, estimation, funding, capacity planning, dependency management, reporting, issue resolution, and executive escalation.
- Foster delivery excellence through disciplined agile practices, backlog management, sprint execution, testing, deployment, release readiness, production support, and continuous improvement.
- Build strong partnerships with Wealth business leaders, product owners, advisors, operations teams, compliance, risk, vendors, and technology stakeholders to align delivery priorities with business outcomes.
- Lead, coach, mentor, and develop multidisciplinary technology teams, including product owners, developers, data engineers, analysts,



QA professionals, solution designers, and support resources.

Requirements

- Demonstrates exceptional leadership in delivering large-scale technology, data, and AI initiatives.
- Excels at translating strategic objectives into executable roadmaps and measurable outcomes.
- Is recognized for strong stakeholder management and the ability to influence senior leaders across business and technology functions.
- Possesses sound judgment and a risk-based approach to managing delivery, compliance, architecture, cybersecurity, and operational challenges.
- Brings more than 10 years of progressive experience in IT delivery, technology program management, data platforms, analytics, AI, digital transformation, or financial services technology.
- Has at least 5 years of experience leading multidisciplinary technology teams, managing budgets, vendors, and executive stakeholders.
- Has proven experience delivering complex initiatives involving cloud platforms, data engineering, analytics, reporting, automation, integrations, APIs, machine learning, or AI capabilities.
- Has solid knowledge of agile delivery methodologies, portfolio management, DevSecOps, production support, testing, and operational readiness.
- Possesses working knowledge of modern cloud data platforms, BI technologies,



data pipelines, machine learning, generative AI concepts, and responsible AI practices.
- Has experience collaborating with cybersecurity, privacy, compliance, legal, risk, architecture, and infrastructure teams.
- Knowledge of Wealth Management, advisor platforms, client data, and financial services regulatory environments is considered a strong asset.
- Experience with Google Cloud Platform (GCP) is considered an asset.
- An intermediate level of French will be considered an asset
- An advanced level of English is required.

Core Competencies

Demonstrates expertise in leading Data and AI initiatives within Wealth Management, focusing on strategic roadmap development, stakeholder alignment, and compliance with regulatory standards. Proven ability to manage multidisciplinary teams and deliver complex technology solutions using agile methodologies.

Highest-signal resume keywords

- Data Platform Implementation
- AI Capabilities Delivery
- Agile Delivery Methodologies
- Stakeholder Management
- Cloud Platform Experience

ATS Optimization Keywords

Hard Skills

- Data Engineering
- Analytics
- Machine Learning
- Automation
- Integrations
- APIs
- Portfolio Management
- Budget Management
- Risk Management
- Compliance

Soft Skills

- Leadership
- Stakeholder Influence
- Judgment
- Coaching
- Mentoring

Industry Keywords

- Wealth Management
- Financial Services
- Cybersecurity
- Data Governance
- Operational Resilience

Tools & Technologies

- Google Cloud Platform
- BI Technologies
- Data Pipelines
- DevSecOps
- Agile Practices

📌 Director, IT Delivery - Data and AI (Toronto)
🏢 Jobtailor
📍 Toronto