Associate – Strategy & Data Consulting

Associate – Strategy & Data Consulting

Metis Strategy is a management and strategy consulting firm focused on the intersection of business and technology. We are looking for highly motivated individuals to join our San Francisco Bay Area team. We serve Fortune 500 and Global 1000 companies, helping them meet their most critical business objectives through tailored engagements and deep professional relationships across industries on topics related to business & digital strategy and organizational change.

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.

Working closely with clients, you will assist in prototyping and piloting AI and machine learning solutions, establishing success criteria, measuring business outcomes, and refining solutions based on feedback. You will prepare high-quality deliverables, including strategy documents, roadmaps, business cases, and executive presentations, tailored for senior digital and technology leaders. Additionally, you will conduct market research, maturity benchmarking, and competitive analysis to inform your recommendations and accelerate client adoption of best practices.

You will help build internal and client capabilities by supporting role‑based fluency programs, repeatable processes, and reusable playbooks that drive sustainable impact. You will support the design, assessment, and implementation of enterprise data platforms and modern data architectures, such as data lakes, warehouses, and cloud‑native solutions. Moreover, you will contribute to the development and review of data governance frameworks, policies, and operating models, ensuring the quality, consistency, and secure management of data assets.

You will assist with identifying security risks and documenting compliance requirements related to data and AI, including regulatory standards such as GDPR, CCPA, HIPAA, and SOC
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Finally, you will partner with technology teams and client stakeholders to evaluate data platform technologies, architecture patterns, and platform scalability, enabling trusted, value‑driven, and compliant data and AI solutions.

• Bachelor’s or Master’s degree in a quantitative, technical, or business field (e.g., Computer Science, Engineering, Data Analytics, Business, Information Systems).
• 4+ years of experience in data analytics, machine learning, AI strategy, and/or enterprise technology transformation.
• Advanced proficiency with data platforms (cloud and on‑premise), data architecture principles, and modern data engineering stacks.
• Ability to support risk discovery and gap analysis for data security and compliance, contributing to the creation of recommendations and remediation plans.
• Awareness of data governance best practices, data management…