Managing Director, Enterprise Data Platform

This is a fully remote position, open to applicants in District of Columbia, +7 more states.

📋 Description

• Assist in steering the strategy, development, and expansion of Ankura’s Enterprise Data Platform capabilities.

• Define the technical vision, reference architectures, delivery methodologies, and engineering standards for cloud-based data platforms.

• Provide oversight at the executive level for the design and development of enterprise data platforms across various clients and projects.

• Guide architectural decisions related to cloud infrastructure, data integration, data modeling, governance, security, analytics, automation, and AI enablement.

• Create reusable accelerators, methodologies, and intellectual property to enhance delivery quality, speed, and scalability.

• Foster and sustain 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 expand a portfolio of business across multiple clients and engagements.

• Identify opportunities and enhance existing client relationships.

• Lead business-development efforts, 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 that engagements are properly scoped, staffed, governed, and aligned with client objectives and contractual commitments.

• Oversee large-scale data integration and platform implementations utilizing Databricks, Snowflake, Microsoft Fabric, and similar platforms.

• Direct data orchestration and integration strategies leveraging Azure Data Factory, Airflow, Informatica, and other enterprise tools.

• Monitor engagement economics, delivery quality, resource utilization, risks, timelines, and client satisfaction.

• Ensure platforms fulfill expectations for scalability, reliability, security, governance, performance, maintainability, and cost efficiency.

• Proactively resolve significant technical, delivery, commercial, or client relationship challenges.

• Build, lead, and develop multidisciplinary teams of data architects, data engineers, data scientists, technical leads, and delivery professionals.

• Recruit and retain top-performing professionals across onshore, nearshore, and offshore delivery teams.

• Define roles, career paths, competency expectations, and development plans for technical team members.

• Mentor senior leaders and create opportunities for enhanced client, commercial, and delivery responsibilities.

• Encourage collaboration among data engineering, data science, analytics, automation, AI, business transformation, and change management.

• Develop scalable staffing and delivery models that support practice growth, quality, and financial performance.

⛳️ Requirements

• Typically 12–15+ years of experience in data engineering, enterprise data architecture, analytics, or related technology consulting, with substantial senior leadership responsibility.

• Proven track record in leading the design and delivery of enterprise-grade cloud data platforms and large-scale data transformation initiatives.

• Demonstrated success in managing and expanding a significant consulting business across multiple clients.

• Established history of developing executive client relationships, originating opportunities, and transforming those opportunities into successful engagements.

• In-depth 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 similar technologies.

• Comprehensive understanding of ETL, ELT, and orchestration technologies like Azure Data Factory, Airflow, Informatica, or similar platforms.

• Ability to link data-platform investments to business strategy, operational enhancement, financial performance, and measurable value realization.

• Proven experience managing multiple concurrent engagements, delivery teams, and client relationships.

• Established ability to recruit, organize, mentor, and develop high-performing technical and consulting teams.

• Strong commercial acumen, including experience with engagement economics, pricing, contracting, resource planning, and risk management.

• Executive-level communication, presentation, facilitation, and relationship-management skills.

• Strong business sense, entrepreneurial mindset, and results-oriented leadership approach.

• 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 advantageous.

• An 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.