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EXL

Director of Engineering

EXL

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

Posted 7/6/2026full-timeRemote • 🇨🇦 CanadaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing complex analytics and data management projects, ensuring delivery excellence through strong leadership, stakeholder engagement, and a deep understanding of data engineering ecosystems. Proficient in leveraging cloud platforms like AWS and tools for Agile project management to drive growth and optimize team performance.

Highest-signal resume keywords
Delivery LeadershipData Management & Data EngineeringAWS Cloud ProficiencyAgile Project ManagementStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData ManagementSQLPythonData WarehousingDataOpsCI/CDAgile DeliverySoftware Development Life CycleData Clean Room Solutions
Soft Skills
Analytical SkillsProblem-SolvingCommunicationCollaborationMentoring
Tools & Technologies
AWS RedshiftJIRAAzure DevOpsDatabricksSnowflakeGCP
Industry Keywords
Analytics SolutionsGovernance ModelsDelivery Best PracticesExecutive PresenceAccount Mining

Tech Stack

Tools & technologies
Amazon RedshiftAWSAzureCloudGoogle Cloud PlatformPythonSDLCSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

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