Technical Delivery Manager in Vancouver

ITC Infotech is looking for a Technical Delivery Manager to join our team in Vancouver, Canada for a Hybrid Work Setup.

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 clear 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 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, 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 delivery and operations (Copilot-style tools, guardrails, evaluation, workflow automation).
• Data governance/compliance experience (PII handling, access controls, audit readiness).
• Familiarity with BI tools (Power BI/Tableau) and semantic layer concepts.
• Certifications: PMP, CSM/PSM, SAFe, Databricks/Snowflake certifications.

ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC Infotech is committed to providing veteran employment opportunities to our service men and women.