Job Description & How to Apply Below
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Description
Alcumus is the global leader in comprehensive risk management solutions, specializing in high-risk worker qualification and safety compliance. Our technology platform and expert services enable organizations to streamline their compliance processes and reduce business risks, while ensuring the safety and competency of their workforce.
We are seeking a dynamic and visionary leader to join our team as Sr. Director of Data Strategy and ML/AI. This role is responsible for shaping and driving our enterprise-wide data strategy—leveraging data as a strategic asset to deliver actionable insights, enable innovation through ML/AI, and support scalable, secure, and trustworthy data practices.
Department: Technology & Product
Location: Remote, Canada
DescriptionAlcumus is the global leader in comprehensive risk management solutions, specializing in high-risk worker qualification and safety compliance. Our technology platform and expert services enable organizations to streamline their compliance processes and reduce business risks, while ensuring the safety and competency of their workforce.
We are seeking a dynamic and visionary leader to join our team as Sr. Director of Data Strategy and ML/AI. This role is responsible for shaping and driving our enterprise-wide data strategy—leveraging data as a strategic asset to deliver actionable insights, enable innovation through ML/AI, and support scalable, secure, and trustworthy data practices.
This high-impact leadership role requires cross-functional collaboration across Product, Engineering, Operations, Finance, and Compliance. You will be the steward of our data ecosystem, championing a culture of data excellence, insight-led decision making, measurable business outcomes, and embedded ML/AI capabilities.
What that means day-to-day:
Architecture & Platform Leadership:
- Architect a unified and scalable enterprise data platform supporting structured and unstructured data.
- Build a modern Data Lakehouse/Warehouse as a single source of truth.
- Implement reporting and dashboarding solutions that empower internal teams and customers.
- Ensure platform reliability, observability, and security.
- Promote reusable, curated datasets and self-service analytics across teams.
- Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery.
- Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS).
ML/AI Strategy & Execution:
- Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes.
- Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation.
- Collaborate with Product and Engineering to embed ML/AI into core application features and workflows.
- Establish success metrics and a governance model for AI deployments.
Data Strategy & Governance:
- Define and execute a modern, enterprise-wide data strategy aligned with business objectives.
- Foster a culture of trusted data stewardship, literacy, and transparency.
- Establish data governance practices including change control, provenance tracking, and auditability.
- Build and evolve a robust data integration, reporting, and analytics platform using a Data Lakehouse, Warehouse, or Data Mart architecture.
Cross-Functional Collaboration:
- Align data initiatives with Product, Engineering, and Operations roadmaps.
- Act as a unifying force across departments to eliminate silos and improve insight delivery.
- Lead enterprise reporting initiatives, benchmarking, and data-driven transformation.
- Ensure measurable outcomes from all data and analytics programs.
What you’ll need to be successful:
Required Qualifications :
- Bachelor’s in Computer Science, Data Science, Engineering, or related field;
Master's/PhD preferred.
- 10+ years in data strategy, analytics, or ML/AI leadership roles.
- Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc.
- Deep expertise in data architecture, pipeline orchestration, and real-time analytics.
- Ability to influence executive…
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