Portfolio Manager / Program Manager – Data, AI & Analytics

About the Role

Highbrow Technology Inc is looking for an accomplished Portfolio/Program Manager to steer strategic initiatives in Data, AI, and Analytics. This role focuses on driving large-scale enterprise transformations including data modernization, cloud platform adoption, and digital innovation projects related to AI and analytics.

Key Responsibilities

• Provide leadership for enterprise portfolios spanning Data, AI, and Analytics.
• Create and maintain strategic plans for embracing data modernization and integrating AI technologies.
• Oversee extensive Data Engineering, Advanced Analytics, Machine Learning, and Generative AI projects.
• Collaborate effectively with business executives, technical teams, and external partners.
• Manage fiscal budgets, governance processes, resource allocation, and mitigation of program risks.
• Implement frameworks for data governance, ethical AI practices, security, and regulatory compliance.
• Track adoption metrics and ensure realization of business value from implemented solutions.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related domains.
• A minimum of 12 years in technology leadership and program management roles.
• At least 8 years directing enterprise-wide initiatives in Data, Analytics, AI, or Cloud transformations.
• Proficiency with cloud and big data platforms such as Azure, AWS, Snowflake, Databricks, Microsoft Fabric, or similar technologies.
• Hands-on experience delivering AI/ML, Data Lake, Advanced Analytics, and Business Intelligence solutions.
• Effective communication and stakeholder management capabilities at the executive level.

Preferred Attributes

• Master’s degree is an advantage.
• Familiarity with Generative AI technologies, Copilot, MLOps, and Data Governance practices.
• Relevant certifications like Azure, AWS, Snowflake, Databricks, PMP, or PgMP.
• Experience within the Life Sciences sector is beneficial.

Additional Details

• Work Location: Remote (British Columbia, Canada)
• Employment Type: Contract
• Travel: Up to 20% travel may be required.