SVP, Platform & AI Delivery

Summary :

The SVP, Platform & AI Delivery is responsible for leading the company’s artificial intelligence business, with full accountability for strategy, product portfolio, and financial performance. This role owns the end-to-end lifecycle of AI initiatives, from defining the strategic roadmap through commercialization and scaling.

As a member of the executive leadership team, this leader drives the integration of AI capabilities across the organization, ensuring alignment with enterprise priorities and delivering measurable business outcomes. The role requires balancing long-term innovation with near-term execution, translating advances in AI and machine learning into practical applications that create competitive advantage.

Essential Job Duties and Responsibilities :

Business & P&L Ownership

• Own full P&L responsibility for the AI business unit, including revenue growth, margins, and operational efficiency.
• Define and execute go-to-market strategies to scale AI-driven products and services.
• Identify new market opportunities, partnerships, and revenue streams.

Strategy & Vision

• Set the long-term AI strategy aligned with company objectives and market trends.
• Translate emerging AI technologies (e.g., generative AI, machine learning, automation) into commercial offerings.
• Position the organization as a leader in AI innovation within the industry.

Product & Innovation Leadership

• Oversee the AI product roadmap from ideation through launch and scaling.
• Partner with engineering, data science, and product teams to deliver high-impact solutions.
• Ensure responsible AI practices, governance, and ethical deployment.

Cross-Functional Leadership

• Collaborate with Sales, Marketing, Operations, and Customer Success to drive adoption and customer value.
• Influence enterprise-wide AI transformation initiatives.
• Align AI capabilities with broader digital and business strategies.

Team Building & Culture

• Build and lead high-performing, multidisciplinary teams (product, engineering, data science, GTM).
• Foster a culture of innovation, accountability, and continuous learning.
• Attract and retain top AI and leadership talent.

External Representation

• Serve as a thought leader and public face of the company’s AI initiatives.
• Build relationships with key partners, customers, and industry stakeholders.
• Represent the company at industry events, conferences, and media engagements.

Other Job Duties and Responsibilities:

• Performs other related duties as assigned.
• Comply with all company policies and procedures.
• Maintain regular and punctual attendance.

Supervisory Responsibilities :

• This position has direct reports. Manages staff and carries out supervisory responsibilities in accordance with the organization’s policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems.

Qualifications :

To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Education and/or Experience :

• Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or a related field required.
• MBA, MS, or PhD in a relevant discipline (e.g., Artificial Intelligence, Machine Learning, Computer Science, or Business Administration) strongly preferred.
• 15+ years of leadership experience, including senior executive roles.
• Proven track record of owning and scaling a business unit or product line with P&L responsibility.
• Deep experience in AI/ML, data platforms, or advanced analytics-driven products.
• Experience commercializing AI solutions in enterprise or high-growth environments.

Certificates, Licenses, Registrations :

• None Required

Work Complexity:

Problems and issues faced are frequently complex and multi-dimensional, requiring broad-based consideration of variables that impact areas outside of immediate responsibility. Extensively analyzes problems to seek understanding of the underlying issue and root cause of the problem.

Work Environment :

The work environment characteristics described here are representative of those an employee encounters while performing the ess…