Global Data & AI Strategy Architect

Compunnel Inc.; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading technology firm in Toronto is looking for a Senior Technology Strategist to lead Global Data Information Architecture and support AI strategies. The ideal candidate will possess a strong background in data governance and quality, with hands-on experience in Azure and Databricks. Responsibilities include assessing current systems, identifying gaps, and making recommendations. The position requires a strong technology strategy mindset and the ability to collaborate with stakeholders to drive improvements in enterprise data management.

Qualifications

• Strong background in data governance and data quality.
• Hands-on experience with Azure and Databricks Unity Catalog.
• Ability to understand business needs and partner with stakeholders.

Responsibilities

• Lead Global Data Information Architecture and support data and AI strategy.
• Assess existing systems, identify gaps, and propose scalable solutions.
• Work closely with business partners to understand enterprise data needs.

Skills

Data governance

Data quality

Technology strategy mindset

Stakeholder management

Hands-on experience with Azure

Experience with Informatica CDGC

Databricks Unity Catalog

Microsoft OpenAI environment

Tools

Informatica CDGC

Azure

Databricks

Amazon AI platforms

Job description

• This role will lead Global Data Information Architecture (IA) and support the broader data and AI strategy.
• The team is looking for a senior technology strategist who can work closely with business partners, understand enterprise data needs, and identify opportunities for improvement.
• The focus is on data architecture and AI enablement, not marketing technology at this time.
• The ideal candidate can assess existing systems, identify gaps, and propose scalable solutions and future-state opportunities.
• Open to both Enterprise Architects and senior Solution Architects, provided they bring strong strategic and data leadership.

Must-Haves

• Strong background in data governance and data quality, including Informatica CDGC or similar platforms.
• Hands-on experience with:
  • Databricks Unity Catalog
  • Azure
• Microsoft OpenAI environment (GPT models, Copilot Studio, and open models via Hugging Face) or Experience with Amazon AI platforms (considered comparable to Microsoft OpenAI) – this is secondary
• Ability to:
  • Understand business needs and partner with stakeholders.
  • Identify system gaps and recommend enterprise-wide improvements.
• Strong technology strategy mindset (not just implementation-focused). They will be identifying gaps and providing systems solutions
• They need to have hands on experience, they need to understand how the diagram works in order to design solutions, need to be data practitioners

Nice-to-Haves

• Exposure to marketing technology (lower priority) they use AEM and a separate team handles the martech side but knowledge is preferred