Director of Engineering

Job not on LinkedIn

🕒 July 6

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

🖥 Software Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• 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