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Head of Data​/AI Architecture & Engineering

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Metis Strategy LLC
Remote/Work from Home position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer, IT Consultant, AI Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Head of Data/AI Architecture & Engineering 2025

AI is changing all of industry. Interested in authoring the future? This opportunity is for you

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. We are a relationship-oriented firm, tailoring our work to our clients’ unique needs. Our clients partner with us at critical points in their business journeys-- from 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.C. area and we are an entrepreneurial, growing firm that also has a presence in the San Francisco Bay Area, Atlanta, GA and Dallas, TX. The firm’s presence from coast to coast allows us to serve clients throughout the United States and abroad. We trust our team to deliver their outcomes to clients, so we are a virtual-first firm.

Employees can work anywhere in the U.S., and are aligned to a time zone for client and internal work. This role will predominantly be aligned to Pacific Time.

With technology at the forefront of innovation, there is no better time to join our firm. You will find something new to challenge you with each client, each project, and each industry you are exposed to. You will have high degrees of autonomy and become empowered to work directly with C-level clients that will accelerate your career in a way that larger firms cannot offer.

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 data-driven decision-making for our clients. You will leverage your expertise in data/AI strategy, modeling, and architecture to modernize and optimize the client’s data/AI landscape, ensuring alignment with business objectives, industry standards, and regulatory requirements.

We are looking for someone to help grow a team of hands-on data/AI builders who also have a knack for advising and enabling the biggest and most interesting companies in the world.

RESPONSIBILITIES OF A DATA ARCHITECT
  • 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 future-proofing.
  • 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, cloud-based 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.
QUALIFICATIONS AND EXPECTATIONS
  • 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…
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