VP of AI Business Strategy
Synopsys
About the Role
We are seeking an experienced and visionary AI Monetization & Business Development Manager to lead the strategy, execution, and scaling of revenue-generating initiatives in our AI product portfolio. This role sits at the intersection of technology, business strategy, and customer trust—turning cutting-edge AI capabilities into sustainable and profitable business models while ensuring robust data security, privacy, and governance practices.
You will own the monetization strategy for new AI-driven products, identify market opportunities, form strategic partnerships, and ensure that our AI commercialization aligns with the highest standards of data protection and regulatory compliance.
Key Responsibilities
Monetization Strategy & Execution
- Develop and implement pricing, packaging, and go-to-market strategies for AI products and services.
- Partner with Finance, Marketing, and Product teams to align commercial goals with customer needs and compliance requirements.
- Identify, Develop and test comprehensive AI monetization models that align with overall business objectives (models (e.g., subscription, usage-based, tiered offerings, API licensing).
- Conduct market research, industry trends and competitive analysis to inform monetization and business development initiatives.
Business Development & Partnerships
- Build relationships with ecosystem players including data providers, AI infrastructure partners, and distribution channels.
- Manage joint go-to-market activities with strategic partners, ensuring all agreements meet security and governance standards.
- Lead discussions with clients, understanding their needs and pain points, and presenting compelling AI solutions and value propositions.
Data Security & Governance
- Collaborate with Security, Legal, and Compliance teams to ensure monetization strategies adhere to global data protection regulations (GDPR, CCPA, HIPAA, etc.).
- Assess and mitigate risks related to data privacy, intellectual property, and AI ethics in new business opportunities.
- Promote trust and transparency in AI solutions through responsible data usage and governance practices.
Market Intelligence & Growth
- Conduct market research to assess competitive landscape, customer needs, and emerging trends in AI commercialization.
- Analyze usage data, customer feedback, and industry benchmarks to refine monetization approaches.
- Present growth forecasts and business cases to senior leadership.
Cross-Functional Leadership
- Drive alignment between product roadmaps, monetization strategies, and governance policies.
- Work closely with product and engineering teams to ensure monetization is integrated into product design from the outset.
- Collaborate with AI specialists, data scientists, and engineers to understand the capabilities and limitations of AI technologies.
Qualifications
- Master’s degree in Business, Economics, Computer Science, or related field (MBA preferred).
- 15 years’ experience with 3+ years in new product monetization at scale, business development, or strategic partnerships—ideally in AI, SaaS, or advanced tech sectors.
- Exposure to Semiconductor and/or EDA is highly preferred.
- Strong understanding of AI technologies, markets, and regulatory considerations.
- Data-driven decision-making with the ability to translate analytics into actionable strategies.
Preferred Skills
- Experience in data security frameworks, governance models, and compliance requirements for AI/data-driven products.
- Familiarity with privacy-preserving AI techniques.
- Global business development experience with multi-jurisdictional data compliance.