Head of Data/AI Architecture

Head of Data/AI Architecture & Engineering 2025
Join to apply for the Head of Data/AI Architecture & Engineering 2025 role at Metis Strategy
Join to apply for the Head of Data/AI Architecture & Engineering 2025 role at Metis Strategy
AI is changing all of industry. Metis Strategy is a management and strategy consulting firm focused on the intersection of business and technology. We are trusted advisors to Fortune Global 500 companies, helping them meet their most critical business objectives. Our clients partner with us at critical points in their business journeysfrom ideation and research to executive counsel to strategic roadmaps and implementation. We work across industries on topics related to business strategy, digital transformation, information technology strategy, operations, international growth strategy, and navigating organizational change. We help identify and evaluate products and services which improve the customer experience through digital technology, and continually advise our clients on how to harness technology to run an organization more efficiently and effectively.
Our headquarters are in the Washington, D.You will find something new to challenge you with each client, each project, and each industry you are exposed to. Data/AI Architecture And Engineering Job Description
As a Data/AI Architect and Engineering leader, you will play a pivotal role in defining, designing, and governing the data/AI architecture that enables efficient, secure, and scalable datadriven decisionmaking for our clients. You will leverage your expertise in data/AI strategy, modeling, and architecture to modernize and optimize the clients data/AI landscape, ensuring alignment with business objectives, industry standards, and regulatory requirements.
We are looking for someone to help grow a team of handson data/AI builders who also have a knack for advising and enabling the biggest and most interesting companies in the world.
Partner with clients to understand business goals, data needs, and technical requirements, translating them into robust data/AI architecture solutions.
Design and maintain enterprise data/AI architecture frameworks, including conceptual, logical, and physical data models.
Develop and enforce standards, best practices, and governance policies to ensure data quality, security, and compliance.
Lead the selection and integration of data/AI platforms, tools, and technologies, with a focus on scalability, interoperability, and futureproofing.
Oversee the design of data flows, integration patterns, and data lineage across diverse systems and cloud environments.
Guide and review the work of data/AI engineers and other technical teams to ensure alignment with architectural standards and business requirements.
Support platform modernization initiatives, including the migration of legacy systems to modern, cloudbased data architectures and advanced analytics platforms.
Collaborate with stakeholders to define and implement data retention, protection, and lifecycle management strategies.
Create and maintain comprehensive documentation for data architecture, models, standards, and governance processes.
Five to ten years of relevant work experience, with demonstrated success in data architecture, data modeling, or related roles within technology or professional services environments.
An advanced degree, preferably in computer science, engineering, information systems, or a related field.
Deep expertise in data/AI architecture principles, data modeling (conceptual, logical, and physical), and data integration patterns.
Proven experience developing and implementing data governance frameworks, data protection, and retention policies.
Familiarity with modernizing legacy data systems and migrating to cloudbased data platforms (e.g., Azure, AWS, GCP) is highly desirable.
Proficiency in data modeling tools (e.g., ER/Studio, ERwin, or similar), and experience with data analysis and visualization tools such as MSVisio, Tableau, MSPowerPoint, and MSExcel.
Proficiency in AI development lifecycle, covering both configuration and integration of thirdparty tools (such as commercial LLMs), as well as building, deploying, and hosting custom AI models and agentic workflows.
Innovative problemsolving skills and entrepreneurial spirit, with the ability to turn ideas into action in pursuit of personal, team, and firm growth targets.
Fulltime
Engineering and Information Technology
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