Job Description
We are looking for a visionary leader to shape the technological landscape of 2026 and beyond. FutureScale Labs is pioneering the next generation of generative intelligence and autonomous systems. As our AI Strategy & Operations Director, you will bridge the gap between high-level corporate strategy and cutting-edge technological implementation. You will define our roadmap for AI integration, ensuring ethical frameworks are met while driving scalable growth.
In this pivotal role, you will oversee the deployment of our proprietary algorithms, manage cross-functional teams, and serve as the primary liaison between engineering and executive leadership. Join us in defining the future of work and creating systems that will power the world for the next decade.
Responsibilities
- Develop and execute a comprehensive AI roadmap aligned with the company's vision for 2026, identifying high-impact opportunities for automation and intelligence.
- Lead the integration of AI into core business operations, ensuring seamless data flow and process optimization across all departments.
- Establish and enforce ethical guidelines and governance frameworks for artificial intelligence, ensuring compliance with evolving regulations.
- Manage a diverse team of data scientists, AI engineers, and product managers, fostering a culture of innovation and continuous learning.
- Collaborate with C-suite executives to communicate complex technical concepts and strategic initiatives to non-technical stakeholders.
- Monitor market trends in machine learning and automation to identify competitive advantages and emerging risks.
- Oversee the budget, resource allocation, and performance metrics for all AI initiatives.
Qualifications
- 10+ years of experience in strategy, operations, or technology leadership roles, with at least 5 years specifically focused on AI and Machine Learning.
- Master’s degree in Computer Science, Business Administration, or a related technical field (PhD preferred).
- Proven track record of successfully deploying enterprise-scale AI solutions and managing large cross-functional projects.
- Deep understanding of AI ethics, bias mitigation, and regulatory compliance (e.g., GDPR, CCPA).
- Strong analytical and problem-solving skills with the ability to translate complex data into actionable business insights.
- Exceptional communication and leadership skills, with the ability to inspire and guide diverse teams.
- Experience in the FinTech, SaaS, or Enterprise Software sectors is highly desirable.