Job Description
Shape the future of artificial intelligence as our AI Strategy Lead at FutureVision Labs. We're pioneering transformative AI solutions that will redefine industries by 2026, and we need your visionary leadership to navigate this rapidly evolving landscape. Join our elite team of innovators in San Francisco, where you'll drive AI roadmaps, align technology with business objectives, and lead cross-functional teams to deliver groundbreaking AI products.
This role offers unparalleled opportunities to influence AI governance frameworks, ethics policies, and long-term digital transformation strategies. You'll collaborate with C-suite executives to ensure our AI initiatives align with global sustainability goals and regulatory requirements while maintaining a competitive edge in the market.
Responsibilities
- Develop and execute comprehensive AI strategy roadmaps aligned with 2026 industry predictions and market trends
- Lead cross-functional teams of data scientists, engineers, and product managers to deliver AI-powered solutions
- Establish AI governance frameworks, ethics policies, and responsible AI practices
- Conduct competitive analysis and market research to identify emerging AI opportunities and threats
- Present AI strategy insights to stakeholders and board members using data-driven storytelling
- Oversee AI project portfolios, ensuring alignment with business objectives and ROI targets
- Stay ahead of regulatory developments in AI governance and compliance across global markets
Qualifications
- Master's degree in Computer Science, AI, Data Science, or related field with 8+ years of AI strategy experience
- Proven track record of developing and implementing successful AI roadmaps for Fortune 500 companies
- Deep expertise in AI governance frameworks, ethics, and regulatory compliance (GDPR, CCPA, EU AI Act)
- Exceptional leadership skills with experience managing cross-functional technical teams
- Strong business acumen with ability to translate AI capabilities into competitive advantages
- Published thought leadership in AI strategy or ethics (whitepapers, conferences, journals)
- Proficiency in AI technologies (machine learning, NLP, computer vision) and cloud platforms (AWS, GCP, Azure)