Manager, Data Driven Transformation

Mackenzie Financial Corporation•Toronto, ON

1d•CA$69,500 - CA$90,000•Hybrid

About The Position

The Manager, Data Driven Transformation, will be a key contributor on the Transformation Services team within Wealth Management Operations and Enterprise Contact Centres. This role applies advanced knowledge of data analytics, automation, and Artificial Intelligence (AI) within the business and is responsible for identifying opportunities, developing data-driven strategies, and working with a team of specialized professionals to execute transformation initiatives that enhance operational efficiency and client value. This position requires a strategic thinker with a hands-on approach, who is passionate about leveraging emerging technologies to solve complex business problems within the wealth management sector. The ideal candidate will champion a culture of continuous improvement and data-centric decision-making.

Requirements

University degree in Business, Computer Science, Data Science, or a related field.
5-7 years of experience in the Financial Services industry, with a strong preference for a background in wealth management.
Proven experience applying advanced knowledge in data analytics, business intelligence, or data-driven process improvement.
Demonstrated success leading and delivering automation and transformation initiatives.
Proficiency with data visualization and reporting tools such as Looker and/or Power BI.
Hands-on experience with automation platforms like Power Automate.
Understanding data systems and experience working with databases (knowledge of SAP HANA is a strong asset).
Deep knowledge of the MS Office Suite.
Advanced knowledge of data strategies, data governance, and data analysis methodologies.
Excellent problem-solving and analytical skills, with the ability to identify and resolve difficult and complex issues
Strong interpersonal, verbal, and written communication skills with the ability to influence and build alignment with stakeholders
A self-starter who is comfortable with ambiguity, delivers high-quality work, and can adapt to new challenges.
A continuous learner with a passion for emerging technologies and methodologies.
Knowledge of change management principles and the ability to apply them effectively.

Nice To Haves

Experience with front and back-office servicing is an asset.

Responsibilities

Develop and advance a data and analytics strategy for WMO to identify, assess and prioritize opportunities for process optimization and automation.
Analyze complex datasets to extract actionable insights, identify trends, and measure the impact of transformation initiatives.
Oversee the design and creation of insightful reports and dashboards using tools like Looker and Power BI to provide visibility into operational performance.
Work with data engineering and IT partners to define data requirements and ensure the availability of high-quality data.
Identify, assess, and implement automation opportunities using tools such as Power Automate and other scripting/configuration technologies.
Champion continuous improvement methodologies to systematically enhance business processes, reduce manual effort, and increase efficiency.
Design and document end-to-end automated solutions that are scalable, maintainable, and well-structured.
Stay abreast of emerging technologies, particularly in the realm of AI and machine learning, and assess their potential application within the wealth management operations space.
Lead pilot projects and proof-of-concepts to evaluate the feasibility and benefit of new AI-powered solutions.
Apply advanced knowledge of AI and related technologies to support automation and data analysis.
Work with and mentor a team of business specialists and analysts, fostering their skills in data analysis, automation, and project execution.
Communicate complex technical concepts and data-driven insights to a non-technical audience, including senior leadership.

Benefits

competitive base salary
performance-weighted bonus
education/career support
option to join Employee Share Purchase Plan with employer matching component
competitive health and dental coverage
flexible plan for you and your family
short-term & long-term disability plans
voluntary Defined Contribution Pension Plan
paid volunteer days
competitive time off
10 wellness days off
WorkPerks discount program
hybrid & flex work arrangements
engaging with community through Business Resource Groups (BRG communities are volunteer employee-led groups formed around a common interest, identity, or background)