Head of AI

Role Overview

• 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.
• 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.
• 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.
• 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.
• 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.
• Act as a senior AI advisor for clients in product, marketing, and creative domains.
• Support pitches, upsell programs, and strategic engagements by showcasing AI-driven differentiation.
• Communicate AI concepts and value clearly to non-technical stakeholders.
• Build strong relationships with client CMO/CPO/CDOs, design leaders, and digital teams.
• Craft thought leadership and POVs for publication on our owned and external channels this can include long and short-term content.
• Mentor cross-functional teams including data analysts, strategists, designers, and creative technologists.
• Raise AI literacy across the agency through training, frameworks, and everyday use cases.
• Foster a culture of experimentation, learning, and responsible innovation, that align and adhere to approved agency created AI policies and Infosys policies.
• Enable teams to use AI confidently without over-reliance on specialists.
• Stay ahead of emerging trends in GenAI, design tooling, LLMs, marketing AI, creative automation, and product intelligence.
• Continuously refine internal AI frameworks for speed, scalability, and repeatability.
• Ensure AI capabilities evolve in line with client expectations and agency growth.

Requirements

• Bonus if you have experience in creative production for marketing.
• Demonstrated experience applying AI to creative workflows, UX/UI design, digital marketing optimization, or content generation.
• Strong understanding of LLMs, model orchestration, prompt engineering, vector databases, and AI agent ecosystems.
• Hands-on experience with data unification, analytics environments, and ML frameworks (Python, cloud AI services, analytics platforms).
• Background in production is a plus.
• Experience leading cross-functional delivery teams with both technical and creative talent.
• Polished and persuasive communication, presentation, and storytelling skills with a proven ability to simplify complexity for executives, clients and internal teams.
• Deep commitment to ethical, transparent, and responsible AI use.

Tech Stack

• BigQuery
• Cloud
• Python

Benefits

• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development