Metis Strategy LLC

About the Company

Operating at the intersection of technology, business, and innovation, Metis Strategy propels decision-makers forward with pragmatic solutions, actionable insights, and access to other experts shaping the future. From executive counsel to strategy-setting and execution, leading companies partner with us at critical points in their business journeys. Working closely with digital and technology leaders, we not only equip them to advance their organizations, but their individual ambitions as well. We work across industries as our clients’ trusted advisors in the areas of business strategy, digital transformation, information technology strategy and operations, international growth strategy, and organizational change. We help determine new products or services that our clients should develop, design how to improve the customer experience through digital technology, and advise on how technology organizations can run more efficiently and effectively. In addition to strategic consulting, Metis Strategy maintains a broad, deep, and active ecosystem of leaders, executives, partners, and experts across industries to facilitate the exchange of ideas, thought leadership, and best practices. Through this network, we provide access to a diverse array of professional and personal enrichment opportunities designed to propel leaders and their companies forward. Headquartered in the Washington, DC area with offices in Dallas, Atlanta, and the San Francisco Bay Area, the firm’s presence from coast to coast allows us to serve clients throughout the United States and abroad. With technology at the forefront of innovation, there is no better time to join Metis Strategy. Interested in working with us? Check out the topics we discuss with tech and business thought leaders: Podcast Series: https://www.metisstrategy.com/technovation-podcast/ Forbes Column: http://www.forbes.com/sites/peterhigh

Listed Jobs

Company Name

Metis Strategy LLC

Job Title

Head of Data/AI Architecture & Engineering 2025

Job Description

**Job Title** Head of Data/AI Architecture & Engineering **Role Summary** Lead the design, development, and governance of data and AI architectures for enterprise clients. Own the end‑to‑end data strategy, from modeling to platform selection, ensuring secure, scalable, and compliant solutions that enable data‑driven decision making at scale. Mentor and grow a high‑performance team of data and AI practitioners within a consulting context. **Expectations** - Deliver architecture recommendations that align with client business objectives and regulatory requirements. - Build and maintain a modern, cloud‑centric data landscape while integrating legacy systems. - Foster a culture of excellence, knowledge sharing, and continuous improvement. - Maintain high client satisfaction through strategic engagement and clear communication. **Key Responsibilities** - Partner with C‑level stakeholders to translate business goals into robust data/AI architectures. - Design and document conceptual, logical, and physical data models and integration patterns. - Develop and enforce data governance, quality, security, and compliance policies. - Lead platform selection and integration of tools (Azure, AWS, GCP, Snowflake, Databricks, etc.) ensuring scalability and interoperability. - Oversee data flows, lineage, and retention strategies across cloud and on‑premises environments. - Mentor and review work of data engineers, architects, and analysts, enforcing architectural standards. - Champion platform modernization, migrating legacy systems to cloud-based data and analytics solutions. - Create comprehensive architecture documentation and maintain an up‑to‑date knowledge base. **Required Skills** - 5–10 years of experience in data architecture, data modeling, or related roles in technology or professional services. - Expertise in conceptual, logical, and physical data modeling; strong understanding of data integration patterns. - Proven ability to design and implement data governance, protection, and retention frameworks. - Deep knowledge of cloud data platforms (Azure, AWS, GCP), modern data warehouses, and analytics services. - Familiarity with data modeling tools (e.g., ER/Studio, ERwin, or equivalent). - Strong client‑engagement skills: requirement elicitation, solution communication, stakeholder management. - Excellent analytical, problem‑solving, and strategic thinking abilities. - Proficient in documenting architecture, data models, and governance processes. **Required Education & Certifications** - Advanced degree in Computer Science, Engineering, Information Systems, or related field (Master’s preferred). - Relevant certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty, Microsoft Certified: Azure Data Engineer Associate, or analogous credentials) are desirable.

San francisco, United states

On site

Mid level

14-01-2026