Director, Data Management

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

👔 Directeur

👻 Score fantôme 25%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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10 000+ employés

🏥 Santé

🛡️ Assurance

📦 Logistique

💰 €2 000 000 Venture Round en 2015-01

Healthcare • Insurance • Logistics

Choisir un partenaire digital ne concerne pas seulement les capacités — c’est également une question de collaboration et de caractère.

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.

🎯 Exigences

• 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.