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Director, Data Management

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Logo of EXL

EXL

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. ‱ Drive organic growth within existing accounts by identifying white-space opportunities and unmet client needs.

🎯 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. ‱ Ability to balance strategic project management with technical understanding. ‱ Experience working with Fortune 500 or global enterprise clients. ‱ Passion for sports, fan engagement, or DTC business models. ‱ Excellent leadership, communication, and stakeholder management abilities. ‱ Strong problem-solving, analytical thinking, and decision-making skills.

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