Tech Delivery Lead-AI&Data

Role overview

Delivery leadership

• Manage scope, budget, schedule, quality, and risk across large engagements and multiple workstreams.
• Run delivery governance, RAID logs, dependency tracking, cutover and parallel-run planning, and status reporting.
• Proactively manage risks and recommend structured options to client and internal stakeholders.
• Promote AI-accelerated migration methods and assets to improve delivery timelines and quality.

Clients and teams

• Build relationships with client architects, engineering leads, and delivery counterparts; support senior client discussions on status, risk, and value.
• Translate business priorities into technical execution and explain scope and sequencing decisions.
• Lead and mentor data engineering, architecture, and quality-engineering teams; coordinate staffing and coach emerging leads.

Required qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 8–12 years in data solutions delivery, including 3–5 years leading teams or workstreams on large-scale migration or modernization programs.
• Experience delivering cloud data solutions, including data lakes, pipelines, and real-time processing.
• Knowledge of data architecture, ETL/ELT, warehousing, modeling, Python, SQL, and modern data tooling.
• Experience managing RAID logs, dependencies, cutover planning, cross-functional teams, stakeholder relationships, and mentoring.
• Understanding of data governance and experience applying data quality, security, and compliance standards.
• Excellent verbal and written communication, including explaining technical concepts to non-technical audiences.

Preferred qualifications

• Consulting or systems-integration experience, including proposals, statements of work, or staffing estimates.
• Hands-on experience with Databricks, Snowflake, or similar lakehouse platforms; Airflow, Fivetran, Informatica IDMC/IICS, or related tools.
• Exposure to GenAI-assisted migration, data conversion, mapping, or reconciliation.
• Experience with big data platforms, MySQL/NoSQL, or CQRS/Event Sourcing patterns.
• Relevant AWS/Azure/GCP, PMP, or Scrum/SAFe certifications and experience in a listed priority industry are advantageous.

Compensation

• Annual salary range for British Columbia, Ontario, and New Brunswick is CAD 131,700 to CAD 278,100.
• Compensation varies by office location, role, skills, and experience; the published range is a guideline and offers may exceed it.

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