Engineering Manager, Data in Canada Creek, Nova Scotia at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Manager, Data in Canada.

This is an exciting opportunity for an experienced data and engineering leader to shape the future of advanced analytics, machine learning, and advertising technology within a fast-growing global environment. In this role, you will lead distributed teams focused on building scalable data platforms, experimentation frameworks, and real-time analytics systems that power personalization, attribution, and user insights. You will collaborate closely with product, growth, and marketing teams to transform complex data into impactful business strategies. The position combines hands-on technical leadership with people management, offering the chance to mentor talented engineers and data scientists while driving innovation across data infrastructure and ML operations. Ideal for someone passionate about data-driven products, this role provides strong visibility, strategic influence, and the opportunity to work on cutting-edge technologies in a highly collaborative culture.

• Lead, mentor, and grow a globally distributed team of data scientists, ML engineers, and data platform specialists.
• Define and execute the roadmap for data science, machine learning, and advertising technology initiatives.
• Design and oversee scalable ML pipelines, experimentation frameworks, and real-time data processing systems.
• Drive initiatives related to user segmentation, attribution modeling, campaign optimization, personalization, and predictive analytics.
• Collaborate cross-functionally with Product, Marketing, and Growth teams to improve business performance through data-driven strategies.
• Ensure data infrastructure and analytics systems remain scalable, secure, and compliant with privacy regulations such as GDPR and CCPA.
• Promote engineering excellence through best practices in observability, reproducibility, model lifecycle management, and performance evaluation.
• Translate analytical insights into actionable recommendations that support product innovation and go-to-market success.
• Support career development, technical mentorship, and leadership growth across the engineering organization.

• 5+ years of experience in software engineering, data engineering, or applied data science, including at least 3 years managing technical teams.
• Strong expertise in machine learning, statistical modeling, experimentation, and forecasting techniques.
• Hands-on experience with modern data and ML platforms such as Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, or feature stores.
• Proven ability to architect, deploy, and maintain end-to-end machine learning systems in production environments.
• Solid understanding of ad tech ecosystems, attribution models, audience segmentation, and campaign performance measurement.
• Experience working with privacy-focused measurement systems, identity frameworks, and consent management technologies.
• Strong communication and stakeholder management skills with the ability to collaborate across technical and business teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field; PhD is considered a plus.
• Demonstrated leadership, strategic thinking, and problem-solving capabilities in fast-paced environments.

• Competitive salary ranging from CAD $120,000 to $160,000 based on experience and location.
• Comprehensive health coverage including medical, dental, and vision plans.
• Paid time off and flexible work arrangements to support work-life balance.
• Personalized career development roadmap with access to training and educational opportunities.
• Collaborative and inclusive culture that values creativity, innovation, and continuous learning.
• Opportunity to work with cutting-edge technologies in data science, machine learning, and ad tech.
• Supportive environment focused on employee well-being and long-term professional growth.