Job Description
Are you ready to architect the future of enterprise technology? Nexus Horizon Inc. is seeking a visionary Strategic AI Integration Manager to spearhead our initiatives leading up to 2026. In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence and our long-term business objectives, ensuring we remain at the forefront of the digital revolution.
We are looking for a leader who doesn't just predict trends but creates them. You will be responsible for defining the AI roadmap, overseeing implementation strategies, and fostering a culture of innovation within a high-performance team.
Why Join Us?
- Shape the strategic direction of AI adoption for a global leader.
- Work with state-of-the-art technology and forward-thinking talent.
- Competitive compensation package and equity opportunities.
Responsibilities
- Define and execute a comprehensive AI integration roadmap for the 2026 fiscal year, aligning technology with business goals.
- Lead cross-functional teams to deploy machine learning solutions that enhance operational efficiency and customer experience.
- Establish and enforce ethical guidelines and governance frameworks for artificial intelligence usage across the organization.
- Identify emerging AI trends and technologies, evaluating their potential impact and feasibility for the company.
- Collaborate with executive stakeholders to secure budget and resources for high-impact AI projects.
- Oversee the performance metrics of AI initiatives, ensuring ROI and continuous optimization.
- Mentor and develop the internal technical team to build future-ready capabilities.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field; Master’s degree preferred.
- Minimum of 7 years of experience in strategic technology management, with at least 3 years specifically focused on AI implementation or digital transformation.
- Proven track record of leading large-scale projects and managing budgets in a fast-paced environment.
- Strong understanding of machine learning algorithms, NLP, and data analytics frameworks.
- Exceptional communication and presentation skills, capable of translating complex technical concepts for non-technical stakeholders.
- Demonstrated experience in developing and implementing ethical AI policies and compliance standards.