Director, Data Management

🕒 July 20

đŸ‡ș🇾 United States – Remote

⏰ Full Time

🔮 Lead

👔 Director

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Logo of EXL

EXL

10,000+ employees

đŸ„ Healthcare

đŸ›Ąïž 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. ‱ 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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