Managing Director, Enterprise Data Platform

🕒 Setembro 8

🏛️ District of Columbia, Florida, +6 estados a mais – Remoto

🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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👻 Score fantasma 11%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Ankura

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🎖️ Defesa

🏗️ Construção

🏥 Saúde

💰 Private Equity Round em 2021-11

Defense • Construction • Healthcare

Ankura é uma empresa líder global em serviços especializados e consultoria, especializada em fornecer soluções de consultoria estratégica em uma infinidade de indústrias. A empresa capacita os clientes aproveitando a inteligência artificial para aprimorar a tomada de decisões, automatizar processos e garantir vantagens competitivas. Ankura é especializada em gerenciar situações de crise, oferecendo soluções estratégicas que protegem, criam e recuperam valor para os clientes. A equipe multidisciplinar da empresa colabora para implementar soluções personalizadas que gerenciem eficientemente os desafios de risco, conformidade e transformação.

Descrição

• Help lead the strategy, development, and growth of Ankura’s Enterprise Data Platform capabilities • Establish technical vision, reference architectures, delivery methodologies, and engineering standards for cloud-based data platforms • Provide executive-level oversight of enterprise data platform design and development across multiple clients and engagements • Guide architectural decisions involving cloud infrastructure, data integration, data modeling, governance, security, analytics, automation, and AI enablement • Develop reusable accelerators, methodologies, and intellectual property to improve delivery quality, speed, and scalability • Build and maintain trusted relationships with C-suite executives, business leaders, and senior technology stakeholders • Advise clients on enterprise data strategy, platform architecture, technology selection, operating models, investment priorities, and transformation roadmaps • Manage and grow a book of business spanning multiple clients and engagements • Originate opportunities and expand existing client relationships • Lead business-development activities, including opportunity qualification, solution development, proposal preparation, pricing, presentations, and contract negotiations • Represent Ankura’s Digital Transformation practice through executive relationships, industry forums, strategic partnerships, and thought leadership • Provide executive sponsorship and delivery oversight across a portfolio of complex data-platform programs • Ensure engagements are appropriately scoped, staffed, governed, and aligned with client objectives and contractual commitments • Oversee large-scale data integration and platform implementations using Databricks, Snowflake, Microsoft Fabric, and comparable platforms • Guide data orchestration and integration strategies using Azure Data Factory, Airflow, Informatica, and other enterprise tools • Monitor engagement economics, delivery quality, resource utilization, risks, timelines, and client satisfaction • Ensure platforms meet expectations for scalability, reliability, security, governance, performance, maintainability, and cost efficiency • Resolve significant technical, delivery, commercial, or client relationship issues proactively • Build, lead, and develop multidisciplinary teams of data architects, data engineers, data scientists, technical leads, and delivery professionals • Recruit and retain high-performing professionals across onshore, nearshore, and offshore delivery teams • Establish roles, career paths, competency expectations, and development plans for technical team members • Mentor senior leaders and create opportunities for increased client, commercial, and delivery responsibility • Promote collaboration across data engineering, data science, analytics, automation, AI, business transformation, and change management • Develop scalable staffing and delivery models supporting practice growth, quality, and financial performance

🎯 Requisitos

• Typically 12–15+ years of experience in data engineering, enterprise data architecture, analytics, or related technology consulting, including substantial senior leadership responsibility • Proven experience leading the design and delivery of enterprise-grade cloud data platforms and large-scale data transformation programs • Demonstrated success managing and growing a significant book of consulting business across multiple clients • Established record of developing executive client relationships, originating opportunities, and converting those opportunities into successful engagements • Deep knowledge of enterprise data architecture, integration, data modeling, governance, metadata management, data quality, security, and cloud-platform principles • Strong experience with data and analytics platforms such as Databricks, Snowflake, Microsoft Fabric, or comparable technologies • Strong understanding of ETL, ELT, and orchestration technologies such as Azure Data Factory, Airflow, Informatica, or similar platforms • Ability to connect data-platform investments to business strategy, operational improvement, financial performance, and measurable value realization • Demonstrated experience overseeing multiple concurrent engagements, delivery teams, and client relationships • Proven ability to recruit, organize, mentor, and develop high-performing technical and consulting teams • Strong commercial judgment, including experience with engagement economics, pricing, contracting, resource planning, and risk management • Executive-level communication, presentation, facilitation, and relationship-management skills • Strong business acumen, entrepreneurial orientation, and results-focused leadership style • Bachelor’s degree in computer science, engineering, information systems, data science, or a related field is required • Experience leading geographically distributed, multi-team, or multi-vendor delivery models is strongly preferred • Experience with advanced analytics, machine learning, generative AI, real-time data processing, or AI-enabled enterprise solutions is preferred • Relevant cloud, data-platform, or architecture certifications are beneficial • Advanced degree is preferred • Must be willing to travel up to 20-25%, including potential international travel

🏖️ Benefícios

• Willingness to travel up to 20-25%, including potential international travel • Affirmative Action and Equal Opportunity Employer • Reasonable accommodation support for disabled job seekers