Director, AI Enablement
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Key skills for this role
About the Role
Mackenzie Investments is seeking a Director of AI Enablement to lead the practical adoption and delivery of high-impact AI initiatives across the front office. The role partners with business, technology, data, and governance teams to identify opportunities, shape AI solutions, and manage cross-functional delivery.
Key Skills for This Role
Responsibilities
- 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
- 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
- Incorporate AI governance, safety, privacy, security, compliance, model risk, and ethical considerations into projects
- 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
Requirements
- Bachelor's degree in business, computer science, engineering, data science, information systems, or related field
- Minimum 10 years of professional experience in technology, digital transformation, AI enablement, project delivery, product management, consulting, or 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
Full Job Posting
Role Overview
- The Director, AI Enablement leads the practical adoption and delivery of high impact AI initiatives across Mackenzie front office.
- Partners closely with business, technology, data, governance, risk, and sales stakeholders.
- Brings a combination of project leadership, technical fluency, business partnership, and practical AI knowledge.
Area Of Responsibility/Key Accountabilities
- AI strategy, opportunity identification, and enablement: Partner with business leaders to identify, assess, and prioritize AI use cases.
- 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 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.
- 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
- 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 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.
- Preferred: Master's degree, MBA, or equivalent advanced education.
- Preferred: Experience in financial services, asset management, wealth management, sales enablement, marketing technology, or other regulated environments.
- Preferred: Experience with machine learning, data science, analytics, large language models, retrieval augmented generation, vector search, agent frameworks, AI platforms.
- Preferred: Formal project management, agile, product management, change management, or technology delivery certification.
- Preferred: Experience driving adoption of new technologies across multiple departments.
Compensation
- Expected annual base salary range: CAD 140,000 CAD 190,000.
- 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, Employee Share Purchase Plan with employer matching.
- Employee benefits & insurance: competitive health and dental coverage, flexible plan for you and your family, short term & long term disability plans.
- Retirement savings programs: voluntary Group RRSP enrolment with employer matching.
- 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 core values: Be a Team, Be Accountable, Be Better, engaging with community through Business Resource Groups.
Work Environment
- Hybrid work environment: three days a week in the office.
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