Head of AI, North America

Head of AI, North America

The Head of AI, North America will lead the creation, adoption, and scaling of AI-driven capabilities across our creative, UX/UI, product, and digital marketing disciplines. This leader will define our AI vision, drive experimentation and productization of GenAI tools, elevate client work through automation and intelligence, and shape how AI transforms agency operations and creative output.

You will partner with executive leadership, clients, technology teams, and creative leaders to embed AI into product design, content creation, marketing performance, employee experience, resource planning, and new business. This is both a strategic and hands-on role—ideal for someone who can balance innovation, rigor, and empathy in a fast-paced creative environment.

Key Responsibilities

1. Strategic AI Leadership for Creative, Product & Marketing

• Define the North America AI strategy aligned with agency growth plans, creative excellence, and client outcomes.
• Build an AI roadmap for UX/UI, product experiences, digital marketing, and GenAI-powered content creation.
• Identify high-value use cases across design workflows, creative ideation, prototyping, marketing analytics, and personalization.
• Evangelize intentional AI adoption across leadership, clients, and cross-functional team with clear KPIs.
• Ensure all AI initiatives comply with privacy, IP protection, ethical standards, and emerging regulations with input from our parent company, Infosys.

1. AI-Enhanced Creative & Product Experience Innovation

• Integrate AI into UX/UI and product design and marketing workflows, from concepting to prototyping to testing.
• Partner with experience design, creative, strategy and production teams to accelerate workflows, ideation, artifact generation, user research synthesis, and usability insights.
• Develop GenAI-based tools and frameworks to expand creative exploration and design variability.
• Champion responsible AI usage in creative and content pipelines.
• Identify ways in which AI can responsibly contribute to scaling insights and research

1. AI for Digital Marketing & Performance

• Build data-driven AI models for audience targeting, attribution, optimization, forecasting, and media performance.
• Unify data across platforms like GA4, Meta, Google Ads, LinkedIn, HubSpot, Salesforce, BigQuery, and Looker to power predictive insights.
• Automate reporting, narrative insight generation, and performance diagnostics across client accounts.
• Translate complex model outputs into simple, actionable recommendations for marketing and account teams.

1. Workflow, Operations & Resource Optimization

• Design AI-enabled systems and optimize to improve resourcing, capacity planning, utilization, margin protection, and delivery forecasting.
• Shift the agency from reactive management to predictive, data-led operations.
• Apply AI to optimize delivery timelines, staffing models, and project risk identification.
• Partner with PMO, finance, and operations to embed AI across daily workflows.
• Understand the AI solutions and capabilities of Infosys (our parent company) and how we could leverage them in our own workflows and solutions

1. AI Platform, Infrastructure & Governance

• Lead the design and implementation of AI tooling, including model orchestration, prompt frameworks, vector search, and internal AI agents.
• Ensure secure, responsible use of client data and proprietary assets in AI workflows.
• Establish and evolve governance for model usage, data handling, and content quality aligned with Infosys requirements.
• Work with technology teams to ensure AI systems are stable, scalable, and compliant.

1. Client Leadership & New Business

• Act as a senior AI advisor for clients in product, marketing, and creative domains.