M

Principal AI & Data Solutions Architect

Metis Strategy Walnut Creek, California, United States · $115K–$180K/yr

Business Consulting and Services · 51-200 employees

Jul 30
software-architect Senior (5-10 yrs) Full-time United States
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

About the role

The associate will support client engagements by developing data-driven and AI-enabled strategies, including assessing maturity and identifying high-value use cases. They will also contribute to the design and implementation of data architectures, governance structures, and technical prototypes to ensure scalable AI adoption.

What they look for

Data architecture AI strategy Data governance Cloud platforms SQL Python Infrastructure as code Terraform AWS CloudFormation Data modeling Strategic consulting Business case development Change management Technical leadership Data engineering Analytics

Requirements

Candidates must have 4 to 8 years of relevant experience in data engineering, analytics, or software development. A bachelor’s degree in computer science, engineering, or a related field is required.

Benefits

Comprehensive medical insurance Dental insurance Vision insurance Parental leave Family benefits Retirement contributions Stipend for continued learning Paid time off Bonus compensation

Full description

Responsibilities of an Associate

The Consulting Associate in Metis Strategy’s Data & AI Practice plays a key role in supporting client engagements focused on developing and delivering data-driven and AI-enabled strategies for large enterprises. You will 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. As an Associate, you will 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.

In this role, you will collaborate with teams to assess client data and AI maturity, leveraging Metis Strategy’s diagnostic frameworks across people, process, technology, data, and culture. You will support the identification, evaluation, and prioritization of AI and analytics use cases by utilizing standardized business case templates to analyze their impact, feasibility, and return on investment. You will gather and synthesize stakeholder perspectives through interviews, workshops, and surveys, translating these insights into actionable recommendations and strategic opportunity maps for clients. You will contribute to the development of AI operating models, governance structures, and change management plans that enable the responsible and scalable adoption of AI across business functions. 

  • Support client engagements by gathering business requirements, data needs, and technical constraints, helping translate them into practical data/AI solutions.
  • Assist in the design and implementation of data/AI architectures, including contributing to 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.

Qualifications and Expectations

  • 4 to 8 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.

What We Look For

  • 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 having helped companies solve complex business problems using a combination of 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 appropriately 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, and knowledge of, emerging technologies and their applications in business contexts
  • Work Status: Eligibility to work in the U.S. without sponsorship is preferred

What Metis Strategy Has to Offer

Successful candidates will be motivated by the desire to make a difference by helping our clients achieve and maintain strategic and operational excellence while continuously improving their own skill set and embracing emerging intellectual challenges.

This position is also eligible for bonus compensation. Additional benefits include but are not limited to:

  • comprehensive medical insurance, dental insurance, and vision insurance;
  • parental leave, and family benefits; 
  • retirement contributions;
  • stipend for continued learning;
  • paid time off, and more. 

Compensation and benefits are competitive and will be commensurate with each candidate’s qualifications and relevant work experience. 

If you are driven by the desire to help some of the world’s most renowned companies solve complex business problems and excited by the intersection of business strategy and technological innovation, you will enjoy being a part of our team.

Similar roles