Associate Consultant - Data and AI Practice

Metis Strategy•Walnut Creek, CA

101d•$115,000 - $180,000

About The Position

The Consulting Associate in Metis Strategy’s Data & AI Practice supports client engagements focused on developing and delivering data-driven and AI-enabled strategies for large enterprises. The role collaborates with teammates and client stakeholders to help unlock growth, operational efficiency, and measurable impact through advanced analytics, responsible AI, data governance, and technology transformation. Associates use proprietary frameworks and strategic methodologies to assess client maturity, identify high-value use cases, prioritize investments, and enable enterprise-wide adoption of data and AI solutions. The role supports maturity assessments across people, process, technology, data, and culture; use-case evaluation and prioritization; stakeholder research; and development of actionable recommendations and strategic opportunity maps. It contributes to AI operating models, governance structures, change management plans, and the prototyping and piloting of AI and machine-learning solutions. Associates establish success criteria, measure business outcomes, and refine solutions based on feedback. The position also develops strategy documents, roadmaps, business cases, and executive presentations; conducts market research, maturity benchmarking, and competitive analysis; and supports capability-building programs, repeatable processes, and reusable playbooks. Associates help design, assess, and implement enterprise data platforms and modern architectures, and contribute to data governance frameworks, policies, and operating models. They assist with identifying security risks and documenting compliance requirements, including GDPR, CCPA, HIPAA, and SOC2, and partner with technology teams and client stakeholders to evaluate data platform technologies, architecture patterns, and scalability. Successful candidates are motivated to help clients achieve and maintain strategic and operational excellence, continuously improve their skills, and embrace emerging intellectual challenges. The position is eligible for bonus compensation. Compensation and benefits are competitive and commensurate with qualifications and relevant work experience.

Requirements

Bachelor’s or Master’s degree in a quantitative, technical, or business field, such as Computer Science, Engineering, Data Analytics, Business, or Information Systems.
4 or more years of experience in data analytics, machine learning, AI strategy, and/or enterprise technology transformation.
Advanced proficiency with cloud and on-premise data platforms, data architecture principles, and modern data engineering stacks.
Ability to support risk discovery and gap analysis for data security and compliance and contribute to recommendations and remediation plans.
Awareness of data governance best practices, data management principles, and frameworks for data quality, lineage, and master data management.
Understanding of security, privacy, and compliance requirements for enterprise data and AI systems, including relevant laws and regulatory frameworks.
Strong problem-solving and analytical skills, including comfort with quantitative analysis, business case development, and data and AI concepts.
Excellent written and verbal communication skills, including the ability to distill complex topics into clear recommendations for senior audiences.
Collaborative and adaptable mindset, with the ability to thrive in fast-paced consulting projects and cross-functional teams.
Ability to communicate complex ideas concisely for different audiences, from executive to operational, and across formats such as presentations, white papers, and emails.
Ability to produce polished and compelling analyses and recommendations for C-level initiatives.
Entrepreneurial, outcome-oriented approach and willingness to take a hands-on role.
U.S. work eligibility without sponsorship is preferred.

Nice To Haves

Experience supporting client engagements through research, stakeholder interviews, and deliverable development.
Concrete examples of helping companies solve complex business problems using a combination of people, process, and technology solutions.
Ability to coach junior team members and senior clients.

Responsibilities

Support client assessments of data and AI maturity across people, process, technology, data, and culture using Metis Strategy’s diagnostic frameworks.
Identify, evaluate, and prioritize AI and analytics use cases using business case templates to analyze impact, feasibility, and return on investment.
Gather and synthesize stakeholder perspectives through interviews, workshops, and surveys, and translate them into recommendations and strategic opportunity maps.
Contribute to AI operating models, governance structures, and change management plans for responsible, scalable adoption across business functions.
Assist with prototyping and piloting AI and machine-learning solutions; establish success criteria, measure business outcomes, and refine solutions based on feedback.
Prepare strategy documents, roadmaps, business cases, and executive presentations for senior digital and technology leaders.
Conduct market research, maturity benchmarking, and competitive analysis to inform recommendations and adoption of best practices.
Support role-based fluency programs, repeatable processes, and reusable playbooks to build internal and client capabilities.
Support the design, assessment, and implementation of enterprise data platforms and modern data architectures, including data lakes, warehouses, and cloud-native solutions.
Contribute to the development and review of data governance frameworks, policies, and operating models to support data quality, consistency, and secure data management.
Assist with identifying security risks and documenting data and AI compliance requirements, including GDPR, CCPA, HIPAA, and SOC2.
Partner with technology teams and client stakeholders to evaluate data platform technologies, architecture patterns, and platform scalability.
Support client engagements through research, stakeholder interviews, and deliverable development.
Coach junior team members and collaborate with senior clients and other stakeholders.