Director of Engineering

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take ownership of the complete delivery process for analytics and data management projects, ensuring that scope, timelines, quality standards, and budgetary goals are achieved.

• Develop and implement best practices for delivery, governance frameworks, and execution strategies across various programs.

• Oversee complex programs and projects that span multiple workstreams, focusing on data engineering, data platforms, and analytics solutions.

• Actively identify risks, dependencies, and potential bottlenecks; lead structured problem-solving and risk mitigation efforts.

• Serve as a trusted advisor to senior client stakeholders, guaranteeing transparency, alignment, and the realization of value.

• Facilitate executive-level reviews, steering committee meetings, and discussions regarding roadmaps.

• Balance client expectations with internal capabilities to ensure sustainable project delivery.

• Build, oversee, and expand large, globally distributed teams across different regions.

• Promote a culture of collaboration, accountability, continuous improvement, and high team morale.

• Mentor delivery managers, technical leads, and high-potential talent; assist in career development and succession planning.

• Provide leadership in delivery for solutions that encompass data management, data engineering, cloud-based analytics platforms, and modern data warehousing stacks.

• Exhibit strong familiarity with AWS Cloud services, including AWS Redshift, SQL, and Python (hands-on experience is not mandatory, but delivery fluency is essential).

• Collaborate with architects and engineering leads to ensure that solutions are scalable, secure, and perform efficiently.

• Encourage organic growth within existing accounts by identifying new opportunities and unmet client needs.

• Work in partnership with sales and leadership to achieve account growth objectives, develop proposals, and shape solutions.

• Lead opportunity exploration, effort estimation, and define delivery approaches for new initiatives.

• Contribute to the long-term strategy and roadmap planning for accounts.

⛳️ Requirements

• 10-12 years of experience in delivery, program, or project management within the fields of analytics, data management, or data engineering.

• Proven track record of managing large, global, cross-functional teams.

• Deep understanding of data management and data engineering ecosystems.

• Significant experience with AWS or other cloud data environments such as Azure, Databricks, Snowflake, or GCP.

• Practical knowledge of SQL and Python.

• Experience with Agile delivery methodologies and project management tools (e.g., JIRA, Azure DevOps).

• Exceptional analytical and problem-solving abilities with a structured, data-driven approach.

• Familiarity with data clean room solutions, consent management platforms, DataOps (including data observability, data quality frameworks, lineage, incident management, and SLO/SLA governance), as well as software/application development delivery (frontend, backend, API management, and design/UX collaboration), and SDLC practices (CI/CD).

• Excellent communication and stakeholder management capabilities, including a strong executive presence.

• Proven success in account mining, organic business development, and contributing to revenue growth.

🏝️ Benefits

• Health insurance

• 401(k) retirement plans

• Paid time off

• Flexible working arrangements

• Professional development opportunities