Director, AI Enablement

Mackenzie Financial Corporation

$140K — $190K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in business, computer science, engineering, data science, information systems, or a related field
  • 10+ years of professional experience in technology, digital transformation, or AI enablement
  • Understanding of software development, data workflows, and APIs with hands-on experience in Python or low-code platforms
  • Strong project management skills including risk management and stakeholder communications
  • Excellent communication and influencing skills, especially with senior leaders and diverse teams.

Responsibilities

  • Lead AI initiatives from conception to execution across various business functions.
  • Identify and prioritize AI use cases with business leaders to drive operational efficiencies.
  • Translate complex business challenges into actionable AI strategies and roadmaps.
  • Educate stakeholders on AI capabilities and implementation risks and considerations.
  • Incorporate governance and ethical considerations into AI projects for responsible adoption.
  • Manage cross-functional delivery, ensuring alignment with technology, risk, and compliance teams.
  • Build relationships and communicate effectively with both technical and non-technical stakeholders.

Benefits

  • Competitive base salary and performance-based bonus
  • Comprehensive health and dental coverage
  • Voluntary retirement savings programs with employer matching
  • Flexible work arrangements including hybrid options and paid volunteer days
  • Supportive culture promoting diversity and inclusion through employee resource groups.
Full Job Description
Job Description

Referral Level: Level 2

Role:

The Director, AI Enablement leads the practical adoption and delivery of high-impact AI initiatives across Mackenzie front office. The role partners closely with business, technology, data, governance, risk, and sales stakeholders to identify opportunities, shape AI-enabled solutions, manage cross-functional delivery, and help move ideas from concept to prototype and, where appropriate, production.

The successful candidate brings a combination of project leadership, technical fluency, business partnership, and practical AI knowledge. They should be comfortable working with developers, data teams, and architects, and should be able to build lightweight prototypes or proofs of concept when needed. The role is also responsible for supporting responsible AI adoption by considering governance, safety, privacy, security, compliance, scalability, and change management.

Area of Responsibility/Key Accountabilities:

AI strategy, opportunity identification, and enablement
- Partner with business leaders to identify, assess, and prioritize AI use cases across the organization.
- Translate business challenges into clear AI concepts, requirements, roadmaps, and delivery plans.
- Educate stakeholders on practical AI capabilities, limitations, risks, and implementation considerations

Cross-functional project leadership and delivery
- Lead complex AI and technology-enabled initiatives from discovery through execution.
- Manage scope, timelines, dependencies, risks, issues, and communications across business, technology, data, legal, compliance, risk, and operations teams.
- Maintain momentum on priority initiatives and escalate blockers appropriately.

Responsible AI, governance, and risk management
- Incorporate AI governance, safety, privacy, security, compliance, model risk, and ethical considerations into projects.
- Partner with governance and risk teams to define practical controls, documentation, testing, human oversight, and monitoring.
- Stay informed on evolving AI regulations, safety practices, and industry standards.

Stakeholder engagement, adoption, and change enablement
- Build trusted relationships with product, marketing, institutional sales, retail sales, technology, and other business areas.
- Communicate complex technology concepts clearly to technical and non-technical audiences, including senior leaders.

Qualifications

Minimum Requirement
  • Bachelor's degree in business, computer science, engineering, data science, information systems, or a related field
  • Minimum 10 years of professional experience in technology, digital transformation, AI enablement, project delivery, product management, consulting, or a related field. Demonstrated experience leading cross-functional technology projects.
  • Working understanding of software development concepts, enterprise technology delivery, data workflows, APIs, and solution design. Some hands-on technical experience with Python, scripting, automation, data analysis, prototyping tools, or low-code/no-code platforms.
  • Strong project management capability, including scope definition, planning, prioritization, risk and issue management, dependency tracking, stakeholder communications, and delivery governance
  • Strong communication, facilitation, stakeholder management, and influencing skills. Ability to work with senior leaders, business partners, technology teams, and front-line stakeholders. Nimble, curious, practical, and comfortable operating in ambiguity.


Preferred:
  • Master's degree, MBA, or equivalent advanced education.
  • Experience in financial services, asset management, wealth management, sales enablement, marketing technology, or other regulated environments
  • Experience with machine learning, data science, analytics, large language models, retrieval-augmented generation, vector search, agent frameworks, AI platforms.
  • Formal project management, agile, product management, change management, or technology delivery certification or equivalent experience.
  • Experience driving adoption of new technologies across multiple departments and helping teams change ways of working.


The expected annual base salary range for this role is $140,000 - $190,000, which is determined based on skills, knowledge and experience and geographic location. In addition to base salary, this role is eligible for annual short-term incentive, health and well-being benefits, retirement and savings plan, paid time off and career development.

Benefits:
  • COMPETITIVE COMPENSATION & RECOGNITION: competitive base salary, performance-weighted bonus, education/career support, option to join Employee Share Purchase Plan with employer matching component.
  • EMPLOYEE BENEFITS & INSURANCE: competitive health and dental coverage, flexible plan for you and your family and short-term & long-term disability plans.
  • RETIREMENT SAVINGS PROGRAMS: voluntary Group RRSP enrolment with employer matching component.
  • WORK LIFE BALANCE: paid volunteer days, competitive time off including 10 wellness days off, WorkPerks discount program, hybrid & flex work arrangements.
  • INCLUSIVE CULTURE AND DIVERSITY: living our core values: Be a Team, Be Accountable, Be Better, engaging with community through Business Resource Groups (BRG communities are volunteer employee-led groups formed around a common interest, identity, or background).


How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their qualifications and experience to https://www.mackenzieinvestments.com/en/careers.

Artificial Intelligence in Recruitment: As part of our Talent Acquisition process, we may use artificial intelligence and automated tools to support activities such as candidate sourcing, application review, and interview scheduling. These tools support the recruitment process; all hiring decisions are made by people.

We thank all applicants for their interest in Mackenzie Investments; however, only those candidates selected for an interview will be contacted.

Please apply by July 31 2026.

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