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Senior Manager of Data Governance & Strategy - Jobs in Toronto, Ontario

Blend360
Job LocationToronto, Ontario
EducationNot Mentioned
SalaryNot Mentioned
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeFull time

Job Description

Job DescriptionAbout the Role:We are seeking an experienced and visionary Dataamp; AI Strategy Manager / Product Leader to drive data-driven transformation initiatives. This role is ideal for a hybrid leader with deep expertise in data strategy, cloud architecture, analytics product development, and AI/ML use case execution. You will work at the intersection of business strategy, technical innovation, and client delivery, owning the lifecycle of enterprise-scale data programs from conception to MVP development.Key Responsibilities:Strategic Leadershipamp; Client Engagement

  • Define and deliver enterprise data strategies, governance models, and analytics roadmaps tailored to client needs.
  • Own end-to-end engagement from proposal creation, stakeholder management, to final delivery and ongoing development phases.
  • Conduct design thinking workshops and lead use case development and prioritization to align data solutions with business goals.
Data Platformamp; Architecture Development
  • Lead architecture planning for centralized data platforms, focusing on enabling advanced analytics, real-time insights, and scalable infrastructure.
  • Evaluate and recommend cloud providers (AWS, Azure, GCP) and define integration patterns with third-party data vendors.
  • Direct technical teams in building minimum viable products (MVPs) that operationalize data strategies.
Data Governance
  • Develop and implement robust Governance Strategies for Data and AI ecosystems, evaluating client requirements pertaining to data and AI governance; create comprehensive documentation to articulate the strategic vision; and harmonize stakeholder engagement.
  • Embed data governance principles within AI and data analytics endeavors, acting as the linchpin of knowledge.
AI/MLamp; Advanced Analytics
  • Guide the development of supervised and unsupervised ML models to inform high-impact use cases (e.g., loan default prediction, collections strategy).
  • Translate complex data insights into actionable strategies and visual storytelling for executives and stakeholders.
  • Oversee the development of PowerBI dashboards and automation tools to streamline reporting and diagnostics.
Cross-Functional Team Management
  • Lead multi-disciplinary teams of data engineers, analysts, and product owners using agile methodologies.
  • Facilitate business and technical alignment through well-documented user stories, data models, and iterative delivery.
  • Ensure successful integration and transformation of data pipelines supporting billions in financial transactions.

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