AI Enablement Manager

Responsibilities

• Support AI Adoption and Enablement Across Teams
• Partner with agency and functional leaders to identify opportunities to integrate AI into workflows
• Support development and execution of AI training and enablement programs
• Help create role-specific playbooks and best practices
• Coordinate AI workshops, office hours, and internal enablement sessions
• Support development of an internal network of AI champions
• Manage Bottoms-Up AI Use Case Pipeline
• Collect and organize AI use cases from teams across agencies and functions
• Maintain a structured intake and tracking system for use cases
• Categorize opportunities based on impact, feasibility, and alignment with priorities
• Partner with the AI Generalist and technical teams to support early-stage validation
• Support Prioritization and Leadership Reviews
• Prepare use cases for review by leadership and decision-makers
• Summarize expected benefits, required effort, and dependencies
• Support prioritization discussions and documentation of decisions
• Ensure alignment with broader AI initiatives and priorities
• Assist with Workflow Integration and Pilot Execution
• Work with teams to integrate AI into existing workflows
• Support pilot execution and capture feedback
• Document successful use cases and contribute to scaling efforts
• Help standardize repeatable approaches across teams
• Capture and Organize Client AI Signals
• Gather AI-related requests, needs, and trends from client-facing teams
• Organize and synthesize inputs across agencies
• Share insights with AI leadership to inform priorities and capability development
• Track Productivity Impact and Support Reporting
• Help track time savings and efficiency improvements from AI use cases
• Support development of reporting on productivity and adoption
• Maintain visibility into use case pipeline progress and outcomes
• Coordinate Across AI, IT, and Business Teams
• Work closely with the AI transformation team and Senior Director
• Partner with IT and architecture teams to align on feasibility and scaling
• Help ensure use cases follow the defined AI lifecycle
• Minimum Education & Experience:
• Bachelors Degree Required
• 4-6+ years of experience in consulting, operations, project management, or a related field.
• Experience working in cross-functional or matrixed environments and strong organizational skills.
• Ability to explain AI-supported thinking and outputs clearly to non-technical stakeholders
• Strong communication and stakeholder management
• Structured problem-solving and organization
• Ability to translate business needs into actionable tasks
• Curiosity and interest in AI and emerging technologies
• Ability to operate in a fast-paced, evolving environment
• Preferred:
• Experience in a marketing agency, professional services, or similar environment.
• Hands-on working knowledge of generative AI tools used in business settings (such as Copilot, ChatGPT, or similar) to support writing, analysis, synthesis, or decision making.
• Reasonable estimate of the current range
• $100,600 - $151,000 USD
• Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice .
• Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics prot

Benefits

Additional Information

We are seeking a Manager, AI Enablement to support the adoption of AI across a portfolio of three marketing agencies. This role focuses on identifying, organizing, and helping implement practical AI use cases across both client-facing (billable) and back-office teams. You will help translate enterprise AI strategy into real workflow improvements, productivity gains, and measurable business impact. This individual will work closely with business leaders, the AI transformation team, and IT partners to embed AI into day-to-day workflows and operational processes.

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