Director of Engineering

Posted 1 hour ago

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About the role

  • Director of Engineering overseeing Analytics & Data Management programs for marquee clients in Sports & Gaming. Ensuring delivery excellence, stakeholder management, team leadership, and account growth.

Responsibilities

  • Own end-to-end delivery of analytics and data management engagements, ensuring scope, timelines, quality, and cost targets are met.
  • Establish and enforce delivery best practices, governance models, and execution frameworks across programs.
  • Manage complex, multi-workstream programs and projects involving data engineering, data platforms, and analytics solutions.
  • Proactively identify risks, dependencies, and bottlenecks; drive structured problem-solving and mitigation plans.
  • Act as a trusted advisor to senior client stakeholders, ensuring transparency, alignment, and value realization.
  • Lead executive-level reviews, steering committee meetings, and roadmap discussions.
  • Balance client expectations with internal capabilities to ensure sustainable delivery.
  • Build, manage, and scale large, globally distributed teams across geographies.
  • Foster a culture of collaboration, ownership, continuous improvement, and high team satisfaction.
  • Mentor delivery managers, tech leads, and high-potential talent; support career growth and succession planning.
  • Provide delivery leadership for solutions involving data management & data engineering, cloud-based analytics platforms, and data warehousing and modern data stacks.
  • Demonstrate strong familiarity with AWS Cloud, including AWS Redshift, SQL and Python (hands-on not mandatory, but must be delivery-fluent).
  • Collaborate with architects and engineering leads to ensure scalable, secure, and performant solutions.
  • Drive organic growth within existing accounts by identifying white-space opportunities and unmet client needs.
  • Partner with sales and leadership to support account growth targets, proposals, and solution shaping.
  • Lead opportunity mining, effort estimation, and delivery approach definition for new initiatives.
  • Contribute to long-term account strategy and roadmap planning.

Requirements

  • 10-12 years of experience in delivery, program, or project management within analytics, data management, or data engineering domains.
  • Proven experience managing large, global, cross-functional teams.
  • Strong understanding of data management and data engineering ecosystems.
  • Strong experience with AWS or other cloud data ecosystems (Azure, Databricks, Snowflake, GCP).
  • Hands-on familiarity with SQL & Python
  • Experience with Agile delivery and project management tools (JIRA, Azure DevOps, etc.).
  • Excellent analytical and problem-solving skills with a structured, data-driven mindset.
  • Experience with data clean room solutions, consent platforms, DataOps exposure (data observability, DQ frameworks, lineage, incident management, and SLO/SLA governance), software/application development delivery (frontend, backend, API management, and design/UX collaboration), SDLC practices (CI/CD)
  • Outstanding communication and stakeholder management skills, including executive presence.
  • Demonstrated success in account mining, organic BD, and supporting revenue growth.

Benefits

  • Health insurance
  • 401(k) retirement plans
  • Paid time off
  • Flexible working arrangements
  • Professional development opportunities

Job type

Full Time

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Amazon RedshiftAWSAzureCloudGoogle Cloud PlatformPythonSDLCSQL

Location requirements

RemoteCanada

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