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About the Role

The Director Data Architecture will shape Optimum’s data vision by defining enterprise data architecture, driving modernization and migration strategy, and enabling AI/GenAI/Agentic AI capabilities. This role is critical in transforming data platforms into scalable, AI-powered, business-ready assets.

Responsibilities

• Define and own the enterprise data architecture vision and multi-year roadmap.
• Establish target-state architecture (cloud lakehouse, data mesh, semantic layer).
• Align architecture with business priorities, analytics, and AI initiatives.
• Drive adoption of standardized, reusable architecture patterns.
• Lead end-to-end architecture across data ingestion, transformation, storage, and consumption.
• Enable integration across internal systems and external data sources.
• Define architecture for Generative AI, LLMs, and Agentic AI frameworks and build AI-ready data platforms.
• Partner with business teams to identify and scale AI use cases from PoC to production.
• Define and execute enterprise migration strategy: Legacy → cloud (GCP lakehouse, batch and streaming architecture).
• Lead platform consolidation and tool rationalization initiatives.
• Define data contracts, standards, and reusable datasets.
• Support enterprise analytics, customer platforms, and AI-driven decisioning.
• Establish standards for data quality, metadata, lineage, MDM, security, privacy, and regulatory compliance.
• Drive execution of large-scale transformation programs and collaborate with business, product, and technology stakeholders.

Requirements

• Bachelor's degree in a quantitative field (Statistics, Economics, Data Science, Engineering) or related field of study.
• 12–15+ years in data architecture, data engineering, or related roles.
• Proven experience leading enterprise data modernization and migration programs.
• Strong expertise in cloud data platforms (GCP preferred) and Lakehouse, streaming, and distributed architectures.
• Experience delivering AI/ML or Generative AI solutions at scale.
• Strong leadership and stakeholder management skills.
• Experience with Agentic AI / autonomous workflow systems is preferred.
• Background in telecom / large-scale customer data environments is preferred.

Skills

• Data Architecture
• Data Engineering
• Cloud Data Platforms
• GCP
• Lakehouse
• Streaming Architectures
• Distributed Architectures
• AI/ML
• Generative AI
• Agentic AI
• Leadership
• Stakeholder Management
• Telecom Data Environments

Location

• Canada

Work Type

• Full-time

Experience Level

• 12-15+ years

Education Level

• Bachelor's degree

Salary/Compensations

• CAD 181,427.00 - CAD 298,060.00 / year

About the Company

• Optimum is a leader in the fast-paced world of connectivity, empowering lives, fueling businesses, and driving innovation.
• Connectivity is a necessity, and Optimum provides reliable, high-speed connectivity solutions.
• The company's successes are powered by its product, commitment to people and culture, and community connections.
• Optimum's Guiding Principles are: Do What’s Right, Drive One Optimum, and Make It Happen.
• Employees are empowered to do the right thing, recognize and reward behaviors, and enact real change.
• The company fosters a culture where learning never stops.

Equal Opportunity

• We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law.
• The Company collects personal information about its applicants for employment for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law.
• Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process.