ITC Infotech is looking for Technical Delivery Manager to join our time in Vancouver, Canada for a Hybrid Work Set up.

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 leads delivery across a modern data stack including Postgres, Snowflake, Databricks, Kafka, and Airflow, driving predictable execution, engineering excellence, and continuous optimization. You will lead a ~20-person delivery team (cross-geo), with onsite/NA team members reporting directly and strong coordination across matrix/offshore teams. The role is highly stakeholder-facing, partnering with customer Directors, Tech Managers, Program/Project Managers, Product Management, BSAs, Engineers, and Architects.

The ideal candidate brings services-delivery leadership, technical fluency in data engineering, and practical experience leveraging AI/automation to improve delivery speed, quality, and operational efficiency.

Key Responsibilities

Program Delivery & Governance

- Own delivery across multiple tracks: scope, roadmap, milestones, dependencies, budget, RAID, and change control.
- Establish and run governance cadence: weekly status, executive readouts, risk reviews, sprint/PI planning alignment, and steering updates.
- Drive delivery predictability and operational rigor through transparent plans, measurable outcomes, and disciplined execution.
- Act as the primary delivery interface for customer stakeholders (Directors, Tech Managers, PgMs/PjMs, Product team, BSAs, Architects).
- Translate business priorities into actionable plans with clear acceptance criteria,



sequencing, and release milestones.
- Communicate proactively on progress, tradeoffs, risks, mitigations, and decisions required.

Technical Delivery Leadership (Data Engineering)

- Lead delivery across ingestion, streaming, transformation, orchestration, and data product enablement using:
- Kafka for event/stream processing patterns
- Airflow for orchestration, scheduling, and dependency management
- Databricks/Spark for processing and pipelines
- Snowflake for warehousing/analytics and governed data sharing
- Postgres for operational data sources / integrations
- Partner with architects/tech leads to drive engineering standards: data modeling, performance tuning, reliability, and reusable frameworks.
- Ensure production readiness: monitoring/alerting, runbooks, incident response, root-cause analysis, and preventative actions.
- Lead and motivate a ~20-person team; directly manage NA/onsite reports and influence matrix/offshore teams to deliver outcomes.
- Build a high-accountability culture focused on ownership, collaboration, and continuous improvement.
- Coach leads and scrum master’s 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, faster documentation/runbooks, incident triage support).
- Implement Lean/Kaizen practices to reduce cycle time, defect leakage, operational toil, and cost.
- Establish metrics and dashboards to identify bottlenecks and continuously improve throughput and quality.

Required Qualifications

- 15+ years in technology delivery with 7+ years leading data engineering programs/projects in a services/consulting environment.
- Proven success delivering multi-track programs with complex dependencies and senior stakeholder engagement.
- Strong technical fluency in:
- SQL (advanced) and Python
- Kafka (streaming/event-driven delivery patterns; producer/consumer concepts; reliability considerations)
- Airflow (DAG design concepts, scheduling, SLAs, dependency and failure handling)
- Databricks/Spark fundamentals and pipeline delivery
- Snowflake fundamentals including performance/cost considerations
- Postgres fundamentals (query design/performance basics)
- Working knowledge of data engineering practices: ETL/ELT, orchestration, data modeling, data quality, observability, and governance.
- Strong Agile delivery experience (Scrum/Kanban) and tools (Jira/Confluence or equivalent).
- Excellent communication skills with the ability to align diverse stakeholder groups and drive decisions.

Preferred / Nice-to-Have

- Retail domain experience (ecomm, merchandising, inventory, supply chain, pricing/promotions, customer/loyalty).
- Experience applying AI/automation to engineering

📌 Technical Delivery Manager (Vancouver)
🏢 ITC Infotech
📍 Vancouver