Managing Director, Enterprise Data Platform

🔥 13 hours ago

🏛️ District of Columbia, Florida, +6 more states – Remote

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

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 11%

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Ankura

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🎖️ Defense

🏗️ Construction

🏥 Healthcare

💰 Private Equity Round on 2021-11

Defense • Construction • Healthcare

Ankura is a leading global expert services and advisory firm, specializing in providing strategic advisory solutions across a multitude of industries. The company empowers clients by leveraging artificial intelligence to enhance decision-making, automate processes, and secure competitive advantages. Ankura is adept at handling crisis situations by offering strategic solutions that protect, create, and recover value for clients. The firm's multidisciplinary team collaborates to implement custom solutions that manage risk, compliance, and transformation challenges efficiently.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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