WelcometoSSM · 17 hours ago
Data Architect Director
Ontario, CA
Full-time
Onsite
Director/Executive
CA$126K/yr - CA$188K/yr
8+ years expOntario Lottery and Gaming (OLG) is seeking a passionate Data Architect Director to define, evolve, and govern the enterprise data and AI architecture. This role involves designing scalable data ecosystems, ensuring high-quality data assets, and applying AI responsibly to enhance decision-making and operational efficiency.
Civic & Social Organization
Responsibilities
Develop enterprise-wide data architecture and processes, leading the design and evolution of data strategies aligned with business and enterprise needs
Build and maintain data architecture roadmaps that reflect organizational goals, emerging technologies, and best practices while avoiding vendor lock-in. Influences stakeholders to support data strategies that improve analytics, governance, and operational efficiency
Prepare business cases for data initiatives, including cost/benefit analysis, data quality improvements, compliance risk mitigation, and AI/ML readiness to guide prioritization and funding
Establish and enforce enterprise data strategies, policies, standards, and practices to ensure data quality, security, privacy, and regulatory compliance, aligning with frameworks such as DAMA‑DMBOK, DCAM, and FAIR
Lead the planning and implementation of innovative data solutions like lakehouse architectures, real‑time pipelines, metadata management, and AI/ML‑enabling frameworks, while partnering with analytics, architecture, and governance teams to ensure data is discoverable, trusted, and accessible
Lead major data transformation efforts by identifying and prioritizing capability improvements, applying frameworks like TOGAF and DAMA‑DMBOK, shaping enterprise data strategies, defining supporting policies and standards, selecting enabling tools, assessing data‑related risks, and designing solutions that balance compliance, quality, security, and business agility. Also develops custom data models and architectures for complex or unique business scenarios that support analytics, AI/ML, and digital transformation
Coach and support team members by assigning work based on skills and goals, monitoring quality, offering practical guidance, helping them navigate ambiguity, and connecting them with the right resources. Provides ongoing learning and development support to build capability across the team
Qualification
Required
Post-secondary degree in information technology, computer science, data science, or a related field, or an equivalent combination of education, training, and experience
Minimum eight (8) years' experience in data engineering or related roles within technology or data-focused functions
Minimum eight (8) years' experience in data architecture, enterprise data management, or a closely related discipline, with a strong track record of designing and implementing enterprise-scale data solutions
Strong grounding in data strategy and governance, including data modeling, metadata management, master and reference data, data quality, and full data lifecycle practices
Experienced with enterprise data architecture across warehouses, lakes, lakehouses, data mesh, data fabric, and cloud‑native platforms such as Azure, AWS, and Google Cloud
Skilled in solution design for modern data ecosystems, including APIs, ETL/ELT integration, streaming, pipelines, DevOps for data, cloud and hybrid environments, and security/privacy
Proficient with tools like ER/Studio, Erwin, dbt, Sparx EA, and ArchiMate, and familiar with methodologies such as TOGAF, DAMA‑DMBOK, DCAM, and FAIR
Strong business and strategic capability, including understanding of business models, data monetization, cost‑benefit analysis, budgeting, risk management, and aligning data strategies and roadmaps to organizational goals
Experienced in requirements analysis, logical and physical modeling, enterprise platforms, and solution architecture
Comfortable with product and project delivery practices like Agile, Scrum, and SDLC
Experienced in developing documentation, providing strategic recommendations, evaluating vendor solutions, and running PoCs to assess fit‑for‑purpose data technologies
Experience designing and implementing data architectures, including data platforms, integration strategies, and governance frameworks in complex environments
Collaborates closely with business stakeholders, product owners, and cross‑functional teams to define roadmaps, architecture patterns, and scalable data solutions
Preferred
Background in lottery and gaming organizations or similar sectors is an asset, with an understanding of the related business capabilities and the technology solutions that support them
Benefits
Group Benefits Plan: Eligible employees and dependents have access to comprehensive, employer-paid group benefits coverage (permanent employees only).
Public Service Pension Plan: Participation in a highly desirable defined benefit pension plan.
Variable Pay Program: Participation in a performance-based incentive plan that recognizes organizational and individual achievements (permanent employees only).
Paid Time-Off: Competitive paid time-off provisions to support work-life balance and well-being.
Growth Focus: Become your best self with access to new opportunities and personalized support programs.
Comprehensive Learning: 24/7 access to robust online learning programs.
Equity, diversity, and inclusion: Core to OLG’s culture, empowering employees to bring their authentic selves and make a meaningful impact across Ontario.
Company
WelcometoSSM
Sault Ste. Marie defines work, life balance & affordability in a welcoming, urban setting with quick access to outdoor adventure.
1001-5000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase