Harrison and Star

Client Solutions Lead, AI Transformation

Harrison and Star$130K — $145K *
Media
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-12+ years of experience in project management, operations, ad tech, or enterprise AI solutions.
  • Expert stakeholder management skills, influencing senior executives.
  • Strong cognitive agility with practical AI technologies experience.
  • Mastery of project management frameworks and collaboration tools.
  • Deep understanding of media planning, buying, and creative workflows.
  • Ability to navigate complex organizations and make timely decisions.
  • Experience in a major agency holding company or large digital agency.

Responsibilities

  • Serve as the primary voice of clients within the AI Transformation team.
  • Aggregate client feedback to enhance product roadmaps.
  • Lead rollouts of AI-driven experiences and optimize workflows.
  • Enforce compliance protocols for data sharing.
  • Drive feature prioritization based on agency feedback.
  • Conduct post-mortems and update client playbooks with best practices.
  • Proactively evolve workflows to keep clients at the forefront of marketing innovation.
  • Translate technical features into practical solutions for teams.
  • Develop compelling use cases that showcase ROI for clients.
  • Communicate effectively with executives and manage risks.
  • Author high-impact case studies demonstrating industry leadership.

Benefits

  • Opportunity to lead AI-centric business transformation.
  • Collaborative work environment with executive exposure.
  • Engagement with cutting-edge AI technologies.
  • Emphasis on continuous learning and innovation.
  • Structured pathways for career advancement within the agency.
Full Job Description
Agency:
Omni

Job Function:
Consulting

Job Subfunction:
Business and Change Consulting

Job Description:

The Opportunity

As the Senior Project Manager: AI Transformation, you will lead the charge in delivering AI-centric business process transformation across our client and agency teams. You will act as the vital bridge between emerging agentic technologies and day-to-day agency workflows-partnering with teams to seamlessly integrate AI tools, set operational expectations, manage User Acceptance Testing (UAT), and accelerate adoption. Reporting into the central AI Transformation team, you will hold direct accountability for adoption rates, process efficiencies, and outcomes-based integration results.

Key Responsibilities

  • Serve as the primary voice of the user (client teams) within the AI Transformation team, aligning central product capabilities directly to agency team use cases and client deliverables.


  • Aggregate and synthesize client feedback to derive actionable user insights that directly influence future product and feature roadmap development.


  • Lead end-to-end rollouts of new AI-driven experiences and UAT phases, working cross-functionally to identify workflow bottlenecks and optimize existing processes.


  • Enforce rigid governance and compliance protocols regarding key data sharing and agent configurations across all client-facing stakeholders.


  • Drive prioritization for upgrades, migrations, and feature releases by translating agency feedback into engineering requirements with Product and Engineering partners.


  • Institutionalize key learnings by conducting structured post-mortems and updating client playbooks with robust best practices.


  • Proactively evolve agency workflows as generative and agentic technologies advance, keeping client teams at the forefront of marketing innovation.


  • Support teams transitioning to new technology by distilling complex, technical platform features into simple, practical, and highly digestible solutions.


  • Translate abstract technical capabilities into compelling, business-focused use cases that demonstrate clear, outcomes-based ROI.


  • Communicate crisply and strategically with executive leaders, clients, and corporate sponsors, managing risks and escalations with absolute poise.


  • Partner closely with client accounts to author high-impact case studies that showcase Omnicom as the industry pioneer in AI-driven agency performance.


Qualification and Leadership Qualities

  • 8-12+ years of experience in program delivery, project management, or operations within media technology, agency environments, ad tech, or enterprise AI solution deployment.


  • Expert-level stakeholder management with a proven track record of influencing senior executives and C-suite leadership.


  • High cognitive agility and technical curiosity with deep practical experience utilizing leading LLMs, AI agents, and productivity copilots.


  • Absolute mastery of project management frameworks and modern collaboration tools (e.g., Airtable, Smartsheet, Jira); strong financial acumen including business case formulation and cost-value tracking.


  • Deep comprehension of media planning, buying, and creative workflows, including data integrations, ad operations, and cross-channel platforms.


  • A proven ability to navigate large, matrixed organizations, managing ambiguity and making sound, high-stakes trade-off decisions.


  • Prior experience within a major agency holding company or large-scale digital agency network (highly preferred).


$130,000 - $145,000 USD

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.

About Harrison and Star

Harrison and Star is a healthcare advertising agency that provides marketing and advertising services to pharmaceutical and biotechnology companies. The company offers a range of services including brand strategy, creative development, digital marketing, and market research. Harrison and Star was founded in 1986 and is headquartered in New York, New York.
Learn more about Harrison and Star
Size
500 employees
Industry
Founded
1986
NASDAQ

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