Associate Director, Ai Process Engineering (14 Months Contract)

Toronto, ON, Canada

Job Description

Choose a workplace that empowers your impact.
Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be -- and deliver -- your best.
We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 600,000+ members, placing their best interests at the heart of everything we do.
Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.
Don't just work anywhere -- come build tomorrow together with us.
Know someone at OMERS or Oxford Properties? Great! If you're referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.
As an Associate Director, AI Process Engineering, you'll be at the forefront of enterprise innovation, shaping how AI transforms business processes by moving beyond single-point solutions to enable holistic, end-to-end process transformations. This role is both strategic and hands-on: you'll identify high-impact transformation opportunities, architect AI-ready workflows, embed AI seamlessly into business operations, and build the blueprint for AI-enabled process transformations. By integrating AI with broader process optimization, you'll accelerate business outcomes and unlock the full power of process and technology. You'll join the Process Engineering team, reporting to the Director of Process Engineering, Automation, and Business Intelligence. This is an individual contributor contract role.
Key Responsibilities
Identify high impact AI and/or process improvement opportunities through structured analysis, impact sizing, and alignment with business objectives.
Analyze End-to-End Workflows Identify inefficiencies, manual effort, non-value-add activities, and AI opportunities and automation opportunities to enable process transformations
Assess AI Readiness: Evaluate workflows for standardization, input structure, variability, and exception handling to determine suitability for AI and automation.
Design AI ready processes by standardizing workflows, structuring inputs, reducing variability, and embedding modular logic, ensuring seamless AI integration with appropriate human-in-the-loop controls and governance mechanisms
Embed Governance and Risk Controls: Embed compliance, fallback logic, and monitoring mechanisms into AI enabled workflows to ensure reliability and transparency
Prompt Engineering: Design, refine, and optimize AI prompts to drive accurate, relevant, and high quality outputs. Build prompt libraries, usage guidelines, and enablement frameworks to support consistency across AI enabled workflows
Facilitate process transformation workshops with business and technology stakeholders to drive alignment, uncover improvement opportunities, and co-design and improved future state
Train process engineers to identify and assess AI opportunities, assess workflow readiness, embed AI solutions into streamlined processes, and apply prompt engineering best practices
Develop playbooks, frameworks, and standards to support AI enabled process transformations, ensuring execution consistency, quality, scalability across the team.
Define technology and AI support models including tiered support services, escalation paths, SLAs, and operational support processes to enable prompt user assistance, performance monitoring, and ongoing maintenance
Independently lead and manage transformation projects from scoping to delivery, ensuring strategic alignment, stakeholder engagement, and timely execution
Partner with the business and technology teams including Customer Success & Innovation (CSI), AI Strategy, and AI Delivery to drive desired outcomes
To succeed in this role, you have:
You bring a unique blend of process discipline, AI experience, strategic foresight, and technical enablement. Success in this role requires:
6+ years in leading process transformations leveraging Lean Six Sigma methodologies to eliminate waste, reduce variation, and standardize processes
1-2 years of experience leveraging and embedding AI solutions within workflows with a strong understanding of AI capabilities, limitations, governance considerations, and process integration best practices
Enablement leadership to train process engineers, design AI process transformation playbooks, frameworks, and prompt libraries that reinforce quality and consistency
Strong facilitation skills to guide cross-functional teams through complex business challenges, drive consensus, and align outcomes with strategic business goals
Strong leadership skills to build trust, influence outcomes, and drive meaningful change
Lean Six Sigma Green/Black Belt certification is required
Capital Markets knowledge is considered an asset
Change Management experience required is considered an asset
We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 4 days per week.
As one of Canada's largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work -- and the members we proudly serve.
From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

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Job Detail

  • Job Id
    JD2860661
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, Canada
  • Education
    Not mentioned