Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.Â
Join our team as the expert you are now and create your future.
Experience and Role Description
As a Manager, you will:
Lead client engagements focused on defining AI strategy, transformation roadmaps, and implementation plans.
Shape and drive go-to-market (GTM) initiatives for AI solutions in collaboration with industry and digital capability leads.
Oversee multi-disciplinary teams delivering AI projectsâensuring alignment across process redesign, architecture, AI engineering, and change management.
Advise senior executives on investment prioritization, operating models, and AI governance frameworks.
Define and manage AI solution portfolios, including agentic systems, RAG pipelines, and model lifecycle management.
Design and orchestrate multi-agent frameworks to automate knowledge work, enhance productivity, and improve decision-making.
Serve as the âfront doorâ for AI innovation, capturing market feedback, surfacing new ideas, and refining product/solution concepts.
Promote responsible AI, embedding ethics, transparency, and security into every project.
Mentor and develop consultants, building AI advisory expertise across the team.
Contribute to firm growth through thought leadership, business development, and client relationship management.
Qualifications
Required:
Bachelorâs degree required; advanced degree in Business, Computer Science, Engineering, or Data Science preferred.
7â10 years of experience in consulting, technology, or enterprise transformation roles, with a focus on AI or digital strategy.
3+ years of experience leading AI/ML solution delivery, including Generative and Agentic AI systems.
Proven ability to bridge business and technologyâtranslating strategic objectives into scalable AI roadmaps.
Strong understanding of AI platform ecosystems (Azure, AWS, GCP) and deployment architectures.
Demonstrated leadership managing cross-functional delivery teams and executive stakeholders.
Excellent communication, facilitation, and storytelling skills; ability to influence at the C-suite level.
Preferred:
Prior experience building or commercializing AI solutions or products within consulting or enterprise environments.
Expertise in RAG architectures, orchestration frameworks, and agent design principles.
Familiarity with AIOps / MLOps, data platform modernization, and cloud infrastructure.
Certifications in cloud AI platforms (Azure AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer).
Experience mentoring junior consultants and building AI delivery capability within teams.
Your Impact
As a Manager, youâll shape the future of how clients harness AIâguiding strategy, designing scalable architectures, and driving adoption. Youâll lead with both empathy and expertise, helping organizations innovate responsibly and realize measurable impact from AI.
The estimated base salary for this job is $155,000 - $175,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huronâs annual incentive compensation program, which reflects Huronâs pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $186.000 - $210.000 USD. The job is also eligible to participate in Huronâs benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
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