Director of Engineering

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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

💰 $2M Venture Round on 2015-01

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

📋 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