Associate Director, Data & AI Strategy & Innovation

OMERS / Oxford Properties Group

Toronto

Hybrid

CAD 138,000 - 188,000

Full time

14 days+
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Job summary

OMERS / Oxford Properties Group in Toronto, Canada, seeks an Associate Director to shape how Data, AI, and emerging technologies drive measurable business value across the organization. You will translate strategy into execution, accelerate innovation, and ensure investments deliver tangible outcomes with a strong focus on Data and AI solutions.

You will lead a team, advise internal customers on build vs buy for Data & AI, and champion AI adoption to improve alpha and operational efficiency.

Qualifications

  • Bachelor's degree in a relevant field; MBA/Technology preferred.
  • 8 to 10+ years of leadership experience in technology with a focus on data/analytics and AI.
  • Worked in HR, Finance or Real Estate/Public/Private Investments.
  • Advanced working knowledge of SQL and Python.
  • Proven track record of influencing senior stakeholders and driving technology outcomes.

Responsibilities

  • Act as a trusted advisor to internal business units, understanding their strategy and challenges.
  • Lead PoC initiatives to demonstrate value to customers.
  • Co-develop and execute customer-centric technology roadmaps for Data and AI solutions.
  • Advocate for adoption of D&T programs and ensure alignment with customer goals.
  • Build a scalable engagement model delivering value to stakeholders and internal customers.

Skills

Advanced SQL
Python
Leadership
Stakeholder management
Data analytics
AI platforms

Education

Bachelor's degree in a relevant field
MBA or Technology

Job description

OMERS / Oxford Properties Group in Toronto, Canada, seeks an Associate Director to shape how Data, AI, and emerging technologies drive measurable business value across the organization. You will translate strategy into execution, accelerate innovation, and ensure investments deliver tangible outcomes with a strong focus on Data and AI solutions.

You will lead a team, advise internal customers on build vs buy for Data & AI, and champion AI adoption to improve alpha and operational efficiency.

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