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The consultant identifies and prioritizes enterprise AI opportunities, translates business challenges into AI use cases, designs and prototypes AI-powered workflows, and supports scaled implementation. Responsibilities include coordinating cross-functional delivery, establishing governance and operating models, measuring adoption and business impact, optimizing prompts and workflows, and enabling organizational change through training and stakeholder engagement. The role requires strong consulting, generative AI, communication, and solution-oriented skills.

Lead client-focused AI transformation initiatives by identifying high-value generative AI and automation opportunities, designing and prototyping AI-enabled workflows and agent solutions, and supporting enterprise-scale adoption. Responsibilities include defining success metrics, coordinating business and technical teams, establishing governance and operating models, optimizing prompts and workflows, measuring impact, and enabling adoption through training, documentation, and change management.

Support clients in identifying, designing, prototyping, and scaling generative AI, automation, and agent-based workflow solutions. Translate business challenges into practical use cases, define success metrics, coordinate cross-functional delivery, evaluate AI tools, establish governance, measure impact, optimize workflows and prompts, and support training, change management, documentation, and responsible AI adoption.

Lead brand narrative, content, messaging, and social-first storytelling strategies for clients and new business pitches. Translate audience research, social listening, and performance insights into integrated briefs and creative direction across paid, organic, earned, and owned channels. Orchestrate strategy, creative, media, social, and community teams while providing feedback and maintaining strategic alignment. Recruit and manage creative strategists and freelance subject-matter experts, and guide creator content and community growth.

The Producer oversees project management for digital marketing and advertising campaigns, ensuring timely delivery and high client satisfaction while coordinating resources and teams effectively.

The Engagement Director will lead AI transformation initiatives, drive workforce enablement, and manage change for clients, ensuring business objectives align with AI strategies.

Lead organizational design and change management engagements: assess structures, design target operating models and job matrices, develop role definitions and governance, drive change readiness and stakeholder engagement, create training/readiness content, define metrics, manage program health and deliverables, support implementations, and contribute to business development and practice capabilities.

Serve as a forward-deployed business analyst and strategic advisor for financial services clients. Apply AI, analytics, automation, and consulting methods to analyze processes, define requirements, design solutions, support implementations, and drive business outcomes. Collaborate with business, product, data, and technology stakeholders; own workstreams, manage risks and dependencies, conduct testing support, and create executive-ready deliverables. Contribute to proposals, business development, and thought leadership on digital, data, and AI trends.

Conduct a competitor citation audit, analyze audience and publication credibility, identify citation opportunities, and develop a client-ready strategic proposal for a regulated pharma account. The role includes citation teardowns, digital PR and placement recommendations, feasibility and MLR considerations, stakeholder collaboration, narrative development, and revision cycles within a compressed four-week engagement.

Serve as a forward-deployed business analyst and strategic advisor for financial services clients. Apply consulting methods, AI, analytics, automation, and low-code tools to analyze processes, define requirements, design solutions, support implementations, and improve operations. Own workstreams, manage risks and dependencies, facilitate stakeholder alignment, support testing and readiness, and create executive-ready deliverables. Contribute to proposals, business development, and thought leadership on digital, data, and AI trends.