Technical Delivery Team Manager (Vancouver)

Role Summary: We are seeking a results‑driven Technical Delivery Manager (TDM) to own end‑to‑end delivery for a multi‑track Data Engineering program in the Retail domain. This role is intended for a senior data engineering leader who combines deep technical fluency with proven delivery leadership—driving predictable execution, engineering discipline, and continuous improvement.

Key Responsibilities

Program Delivery & Governance

• Own delivery across multiple tracks: scope, roadmap, milestones, dependencies, budget alignment, RAID, and change control.
• Establish and run governance cadence: weekly status, executive readouts, risk reviews, planning alignment, and steering updates.
• Drive delivery predictability and operational rigor through clear plans, measurable outcomes, and disciplined execution.

Stakeholder & Customer Management

• Act as the primary delivery interface for customer stakeholders (Directors, Tech Managers, PgMs/PjMs, Product team, BSAs, Engineers, Architects).
• Translate business priorities into actionable plans with clear acceptance criteria, sequencing, and release milestones.
• Communicate proactively on progress, trade‑offs, risks, mitigations, and decisions required; manage escalations and align on next steps.

Technical Delivery Leadership (Data Engineering)

• Lead delivery across ingestion, streaming, transformation, orchestration, and data product enablement using Airflow, Kafka, Databricks/Spark, Snowflake, and Postgres.
• Influence solution quality through technical governance: design reviews, coding standards, data modeling standards, performance practices, and reusable patterns.
• Ensure production readiness: monitoring/alerting, runbooks, incident response, root‑cause analysis, and preventative actions across tracks.

Team Leadership & Performance

• Lead and motivate a ~20‑person team; directly manage NA/onsite reports and influence matrix/offshore teams to deliver outcomes.
• Build a culture of ownership, accountability, collaboration, and continuous improvement.
• Coach leads and scrum masters on execution discipline, stakeholder communication, and delivery predictability.

Optimization & AI‑Enabled Delivery

• Drive efficiency via automation and AI‑assisted workflows (e.g., AI‑assisted code review, test/data validation generation, documentation/runbooks acceleration, incident triage support).
• Implement Lean/Kaizen practices to reduce cycle time, defect leakage, operational toil, and cost.
• Establish delivery and operational metrics to identify bottlenecks and continuously improve throughput, quality, and reliability.

Required Qualifications

• 10+ years in technology, with 5+ years in data engineering leadership and/or technical delivery leadership for complex programs.
• Proven success delivering multi‑track programs with complex dependencies and senior stakeholder engagement.
• Deep experience in data engineering delivery including ETL/ELT, orchestration, data modeling, data quality, observability/monitoring, and production support.
• Technical fluency sufficient to lead engineering outcomes and challenge decisions (not required to be the primary architect for all areas), including advanced SQL and Python fundamentals.
• Snowflake and/or Databricks/Spark delivery experience (one can be primary; the other must be strong working knowledge).
• Airflow concepts (DAG patterns, scheduling, SLAs, failure handling, operationalization).
• Kafka concepts (producer/consumer patterns, reliability considerations, event‑driven delivery).
• Postgres fundamentals (query design/performance basics; source/integration patterns).
• Strong Agile delivery experience (Scrum/Kanban) and tools (Jira/Confluence or equivalent).
• Excellent communication skills—able to align technical and non‑technical audiences and drive decisions.

Preferred / Nice‑to‑Have

• Retail domain experience (e‑commerce, merchandising, inventory, supply chain, pricing/promotions, customer loyalty).
• Experience applying AI/automation to improve engineering delivery and operations (Copilot‑style tools, workflow automation, guard rails).
• Data governance/compliance experience (PII handling, access controls, audit readiness).
• Familiarity with BI tools (PowerBI/Tableau) and semantic layer concepts.

Certifications

• PMP, CSM/PSM, SAFe, Databricks/Snowflake certifications.

Education

Bachelor’s of Engineering or related fields.