AI & Data Solutions Architect
About the Firm
Metis Strategy is a management and strategy consulting firm focused on the intersection of business and technology. We are trusted advisors to Fortune 500 and Global 1000 companies, helping them meet their most critical business objectives through tailored engagements and deep professional relationships. Our work spans industries, addressing business and digital strategy as well as organizational change.
An entrepreneurial, fast-growing firm headquartered in the Washington, D.C. area, we have offices in the San Francisco Bay Area and Dallas, Texas, serving clients throughout the United States and internationally. With over 20 years of history, we have established a track record of making lasting impacts on organizational performance and helping executives improve business outcomes.
At Metis Strategy, you will experience high growth through new challenges with each client engagement, enjoy a high degree of autonomy to shape your work, and be empowered to work directly with thought-leaders, C-level clients, and other decision-makers.
Responsibilities
- Collaborate with teammates and client stakeholders to unlock growth, operational efficiency, and measurable impact through advanced analytics, responsible AI, data governance, and technology transformation initiatives.
- Apply proprietary frameworks and strategic methodologies to help clients assess their maturity, identify high-value use cases, prioritize investments, and enable enterprise-wide adoption of data and AI solutions.
- Assess client data and AI maturity using Metis Strategy’s diagnostic frameworks across people, process, technology, data, and culture.
- Support the identification, evaluation, and prioritization of AI and analytics use cases using standardized business case templates to analyze impact, feasibility, and return on investment.
- Gather and synthesize stakeholder perspectives through interviews, workshops, and surveys, translating insights into actionable recommendations and strategic opportunity maps.
- Contribute to the development of AI operating models, governance structures, and change management plans for responsible and scalable AI adoption.
- Gather business requirements, data needs, and technical constraints to help translate them into practical data/AI solutions.
- Assist in designing and implementing data/AI architectures, including conceptual and logical data models.
- Apply established standards, best practices, and governance policies to ensure data quality, security, and compliance.
- Support the evaluation and integration of data/AI tools and platforms under guidance from senior architects.
- Contribute to the design of data flows, integration patterns, and pipelines across systems and cloud environments.
- Collaborate with data engineers and technical teams to implement solutions aligned with architectural guidelines.
- Develop prototypes and proof of concepts (PoCs) to validate solution approaches before full-scale implementation.
- Write and maintain Infrastructure as Code (IaC) scripts (e.g., Terraform, AWS CloudFormation) to support cloud environment configuration.
- Review code and architecture to identify technical debt, resolve bottlenecks, and improve system performance.
- Assist in modernization efforts, including migrating legacy systems to cloud-based data platforms.
- Help document data architectures, models, and processes to support knowledge sharing and consistency.
- Work closely with stakeholders to support data management, governance, and lifecycle activities.
Requirements
- 4 to 6 years of relevant experience in data engineering, analytics, software development, or related roles.
- Bachelor’s degree in computer science, engineering, information systems, or a related field.
- Foundational understanding of data architecture concepts, data modeling, and data integration.
- Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) and modern data ecosystems is a plus.
- Exposure to data governance, data quality, and security principles is desirable.
- Basic experience with data tools (e.g., SQL, Python, Tableau, Excel, or similar).
- Strong problem-solving skills and willingness to learn in a fast-paced, client-facing environment.
- Effective communication skills, with the ability to clearly present ideas and collaborate with team members.
- High level of motivation, curiosity, and a proactive, “roll up your sleeves” mindset.
- Ability to balance technical learning with business context and client needs.
- Demonstrated professionalism, integrity, and strong interpersonal skills.
Qualifications
- Leadership: A healthy balance of intellectual curiosity, confidence, humility, creativity, and empathy, with the ability to coach junior team members and senior clients.
- Relevant Experience: Technology and business acumen with concrete examples of helping companies solve complex business problems using people, process, and technology solutions.
- Problem Solving: Innovative problem-solving skills and entrepreneurial spirit, with the ability to turn ideas into action in pursuit of personal, team, and firm growth targets.
- Communication Skills: Ability to communicate complex ideas concisely, tailored for different audiences (executive to operational) and media (presentations, white papers, emails, etc.).
- C-Level Interactions: Ability to produce polished and compelling analyses and recommendations for C-level initiatives.
- Relationship Orientation: Willingness to learn from and collaborate with others to build strong relationships with clients and team members.
- Motivation: Entrepreneurial grit with an outcome-oriented approach to business and an energetic “roll up your sleeves” mentality.
- Curiosity: High intellectual curiosity and intrinsic interest in emerging technologies and their applications in business contexts.
- Work Status: Eligibility to work in the U.S. without sponsorship is preferred.
Benefits
- Comprehensive medical, dental, and vision insurance.
- Parental leave and family benefits.
- Retirement contributions.
- Stipend for continued learning.
- Paid time off.
This position is also eligible for bonus compensation. Compensation and benefits are competitive and commensurate with each candidate’s qualifications and relevant work experience.