Senior Consultant | AI Strategy; Remote
Remote / Online - Candidates ideally in
Irvine, Orange County, California, 92713, USA
Listed on 2026-05-01
Irvine, Orange County, California, 92713, USA
Listing for:
Trace3
Remote/Work from Home
position Listed on 2026-05-01
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Analyst, Data Science Manager, Data Scientist
Job Description & How to Apply Below
JOB SUMMARY
The Sr. Consultant of AI Strategy will be a critical strategic leader driving innovative AI transformation for clients. Working alongside our AI Solutioning and Governance teams, this role will serve as a pivotal bridge between innovative AI technologies and strategic business outcomes. Bringing deep expertise in AI strategy, the Senior Consultant will provide our clients with guidance and leading frameworks to build successful programs for our consulting teams, transforming how their organizations conceptualize, implement, and derive value from artificial intelligence.
SUMMARYOF ESSENTIAL JOB FUNCTIONS
- Develop comprehensive AI strategy frameworks that align with our largest client’s long-term business objectives.
- Conduct market research to identify emerging AI trends and potential strategic opportunities to develop and drive impactful Go-to-Market strategies.
- Create strategic road maps for AI adoption and digital transformation across different industry verticals.
- Evolve and execute AI use case workshops and process mapping methodology.
- Develop thought leadership content and strategic positioning for the company's AI capabilities.
- Coordinate approach with Innovation, Governance, Data and Analytics, and AI Solutioning to ensure offerings align with Trace3 business objectives and growth strategies.
- Collaborate with cross-functional teams to align AI strategy with overall product and services strategy.
- Support sales/account teams by providing expertise in AI strategy and use case development during sales pursuits and client engagement.
- Engage with C-level executives to articulate AI strategy, potential business impacts, and transformative opportunities.
- Facilitate strategic AI workshops and executive briefings to align technological capabilities with business vision.
- Develop cross-functional AI strategy alignment mechanisms between technology, business units, and leadership.
- Build and maintain strategic relationships with key AI technology partners and thought leaders.
- Collaborate closely with clients to understand their challenges, gather, and analyze data, and define actionable road maps.
- Lead AI use case discovery workshops to identify, qualify, and prioritize AI-ready use cases for solution development.
- Develop comprehensive AI strategy assessments for enterprises across various industries.
- Guide clients through technology/data selection, rationalization, and build vs buy decisions.
- Lead resources directly and through cross-functional teams; exhibit strong leadership to drive high-performing teams.
- Manage the scope, requirements, resources, and budget for all assigned projects.
- Continuously monitor and create transparency through the communication of project status, issues, and risks to internal teams and our client.
- Stay updated on the latest AI trends, technologies, and best practices to inform strategy development and implementation.
- Develop forward-looking AI strategy publications and research.
- Represent Trace3 at AI conferences and industry forums.
- Bachelor’s degree required, advanced degree/certifications preferred.
- 5+ years’ experience leading technical consulting engagements with a focus on data science, data transformation, AI/data architectures, advanced analytics, or similar platform implementation.
- 5+ years’ experience developing successful data science, advanced analytics, or AI deployment and integration strategies.
- Understanding of generative AI-related concepts, including retrieval augmented generation (RAG), MCP, quantization, Agentic AI, and prompt engineering.
- Familiarity with common AI and Machine Learning technologies, methods, tools (e.g., Git Hub, PyTorch, Tensor Flow, etc.), cloud platforms (e.g., AWS, Azure, GCP), programming languages (Python, R, etc.), and data architecture patterns.
- Comfortable with leading a room of diverse stakeholders towards identifying and prioritizing AI opportunities.
- Relevant AI/ML certifications preferred but not required (e.g., Azure Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
- Up-to…
Position Requirements
10+ Years
work experience
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