SVP, Data Science & AI Product Enablement
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About Monks
Monks is a global digital marketing and data company within the S4 Capital Group, helping the world's most ambitious brands grow through the integration of data, content, media, and technology. We combine the strategic depth of a top-tier analytical consultancy with the speed of a digitally native operating organization, serving diverse clients across the rapidly growing S4 Capital network, every sector, market, and channel.
About Data Science and AI Product Enablement
Data Science and AI Product Enablement brings together Monks' advanced analytics and AI product capabilities in North America. The function pairs market-leading data science — predictive modeling, marketing mix modeling, attribution, incrementality testing, and optimization — with the engineering, product, and solution consulting needed to turn that intelligence into AI-powered products, automation, and agentic workflows.
It is a core engine of Monks' full-service product roadmap and its AI transformation agenda for brands.
The Role
The SVP, Data Science and AI Product Enablement will lead the strategy, growth, and delivery of Monks' data science and AI product practice across North America.
This leader will own the vision for how advanced analytics and AI become scalable products and client solutions — from discovery and solution design through build, deployment, and adoption — and will be accountable for the commercial performance, talent, and market reputation of the practice.
As a senior executive, the SVP will partner with Media, Creative, Strategy, Growth, and Technology Services leadership to embed data science and AI across the full-service offering, shape the integrated product roadmap, and position Monks as the agency partner of choice for AI transformation in marketing.
Location: New York preferred; candidates based in Los Angeles, San Francisco, or Denver will also be considered.
Salary Range: $225,000–$275,000 USD annually
Key Responsibilities
Practice Leadership & P&L Ownership
Own the P&L for the Data Science and AI Product Enablement practice, including revenue, margin, utilization, forecasting, and investment decisions.
Establish the operating rhythm, business plan, and resourcing model needed to scale the practice profitably.
Growth & New Business
Drive revenue growth across existing clients and new business opportunities.
Lead and support senior-level pitches, shape AI and data science propositions, and partner with Growth teams to convert market demand into qualified pipeline and closed revenue.
Client Leadership & Executive Sponsorship
Serve as the senior executive sponsor for strategic clients, including CMOs, CDOs, and CIOs.
Lead critical client engagements, including AI transformation roadmaps, quarterly business reviews, escalations, and renewal decisions.
Build strong, referenceable, multi-capability client relationships.
Delivery Economics & Commercial Models
Set standards for scoping, pricing, and delivery quality across the practice.
Develop value-based, product-led, and subscription commercial models, leveraging AI-accelerated delivery to improve margins and cost-to-serve.
Partner with Finance and Resource Management on capacity planning and investment decisions.
Organizational Leadership
Lead, scale, and develop a multidisciplinary organization of data scientists, AI and full-stack engineers, solution consultants, and product leaders.
Build a strong leadership bench, design effective team structures, and foster an inclusive, high-performance culture.