Managing Director, Enterprise Data Platform
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. Ankura scores B on the Alion truth index.
Ankura is a team of excellence founded on innovation and growth.
The Digital Transformation practice is part of the Global Solutions Advisory business group which is one of five strategic consulting business groups at Ankura
Practice Overview
Ankura Consulting Group is recognized as one of the five fastest-growing consulting companies, with 2,500 employees across 32 offices in 4 continents. The Company provides services to its client on expert witness, bankruptcy and corporate restructuring, litigation support, forensic accounting, geopolitical risk assessment, and general management consulting services. Ankura Consulting Group's headquarters is based in Washington, USA.
Ankura's Digital Transformation practice helps clients modernize their organizations by leveraging data, analytics, automation, and artificial intelligence to drive measurable business outcomes. Within this practice, our Competitive Intelligence capability helps clients turn market, pricing, and customer data into decisions that grow revenue, protect margin, and strengthen enterprise value.
Role Overview
We are seeking a highly experienced and innovative Cloud Data Platform Solutions Architect to join our growing team. In this critical role, you will be responsible for designing, developing, and implementing cutting-edge data Platform solutions on leading cloud platforms (AWS, Azure, GCP). You will play a key role in driving the adoption of cloud-based data warehousing within the organization, leading complex data migration projects, and mentoring a team of talented data engineers.
Responsibilities
- Lead the design, development, and implementation of complex data Platform solutions on cloud platforms (AWS, Azure, GCP), including data modeling, ETL/ELT processes, and data governance frameworks.
- Drive the migration of on-premise data Platforms to cloud environments, ensuring seamless transition and optimal performance.
- Develop and implement data warehousing best practices, including data quality, security, and scalability.
- Lead and mentor a team of data engineers, providing guidance, training, and support.
- Develop and maintain accelerators and reusable components to improve efficiency and reduce time-to-market for data warehousing projects.
- Stay abreast of the latest advancements in cloud computing, data warehousing technologies, and industry best practices.
- Collaborate with business stakeholders to understand their data needs and translate them into effective data solutions.
- Provide technical leadership and guidance to cross-functional teams.
- Contribute to the development and improvement of data warehousing standards and methodologies.
- Present complex technical concepts to both technical and non-technical audiences.
Requirements
- 18+ years of experience in data warehousing and business intelligence.
- Bachelor’s in engineering, computer science preferred.
- Certification in cloud platform or relevant data platforms
- Proven experience in designing, developing, and implementing data Platform solutions on cloud platforms (AWS, Azure, GCP).
- Strong understanding of data warehousing concepts, including data modeling, ETL/ELT processes, and data governance.
- Experience with data migration projects, including planning, execution, and validation.
- Excellent leadership, mentoring, and communication skills.
- Consulting experience in a front-ending, client-facing role: understanding and clarifying client requirements, setting and managing expectations, proactively anticipating needs and risks, and communicating clearly and effectively with stakeholders at all levels.
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of a team.
- Strong understanding of data security and privacy best practices.
- Experience with scripting languages (Python, SQL) and data visualization tools (Tableau, Power BI).
- Certifications in one or more cloud platforms (AWS, Azure, GCP) preferred.
- Experience with big data technologies (Hadoop, Spark).
- Experience with data lake architectures.
- Experience with data governance and data quality tools.
- Experience with Agile methodologies.
- Experience with responding to RFPs and creating end to end solution as a pre-sales architect.
Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email [email protected] or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.