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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Strategy Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Senior AI Strategy Lead to shape the technological landscape of 2026 and beyond. At Nexus Future Labs, we don't just predict trends; we define them. You will be at the forefront of integrating cutting-edge Artificial Intelligence into our core product suite, ensuring our solutions remain at the pinnacle of innovation.

In this role, you will bridge the gap between complex technical capabilities and high-level business strategy. You will work closely with C-suite executives, engineering teams, and product managers to identify high-impact opportunities where AI can drive growth, efficiency, and user engagement.

Responsibilities

  • Define and execute a comprehensive AI and machine learning strategy aligned with the company's 2026 vision.
  • Lead cross-functional teams to identify, evaluate, and integrate emerging AI technologies.
  • Conduct market research and competitive analysis to anticipate future tech shifts.
  • Oversee the lifecycle of AI projects from conception to deployment, ensuring scalability and ethical standards.
  • Establish metrics and KPIs to measure the success of AI initiatives and report to stakeholders.
  • Champion a culture of innovation, fostering collaboration between data scientists and business units.

Qualifications

  • 10+ years of experience in product management, strategy, or data science, with a focus on AI/ML.
  • Proven track record of leading high-impact projects in a fast-paced tech environment.
  • Strong analytical skills with the ability to translate complex data into actionable business strategies.
  • Deep understanding of machine learning algorithms, NLP, and predictive modeling.
  • Excellent communication skills, capable of articulating complex technical concepts to non-technical audiences.
  • Bachelor’s degree in Computer Science, Engineering, Business, or a related field; Master’s degree preferred.
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps frameworks.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Product Management Data Science Cloud Computing Leadership Python SQL

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