
AI Technology Leader
12 hours ago
AI/ML Strategy Director
Description:The ideal candidate will lead our AI and machine learning efforts, driving innovation and growth through strategic leadership and project execution.
Key Responsibilities:- Strategic Leadership: Develop and execute the overall AI strategy and roadmap, aligning with business objectives and growth targets.
- Project Oversight: Manage the end-to-end lifecycle of AI projects, from ideation and design to implementation and performance analysis, ensuring timely delivery and alignment with business goals.
- Financial Management: Oversee AI-related budgets, forecasts, and expenditures, ensuring profitability and operational efficiency.
- P&L Ownership: Manage the P&L for AI-related products and services, balancing innovation with cost control to meet financial targets.
- Team Leadership: Lead, mentor, and manage a high-performance team of AI engineers, data scientists, and researchers, fostering a culture of continuous learning and improvement.
- Cross-Functional Collaboration: Work closely with engineering, data analytics, product, and business units to implement AI solutions at scale.
- Ethical Compliance: Ensure the responsible and ethical deployment of AI technologies in accordance with industry standards and regulations.
- Innovation Identification: Identify opportunities for AI innovations that drive growth and operational efficiency.
- Stakeholder Communication: Present AI project outcomes, business impacts, and new opportunities to executive leadership and stakeholders.
- External Engagement: Build and nurture relationships with external partners, vendors, and research institutions to stay at the forefront of AI trends and technologies.
Requirements:
- Experience: Minimum 20 years IT industry experience with 10+ years in AI/technology, at least 5 years in leadership or management.
- P&L Management: Proven experience managing P&L for technology or AI-driven products/services.
- Technical Expertise: Strong proficiency in AI technologies, including Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision.
- Financial Acumen: Solid understanding of commercial and financial aspects of AI projects, including cost management, profitability, and ROI measurement.
- Project Delivery: Experience scaling AI initiatives and delivering impactful business results.
- Communication Skills: Excellent ability to present complex AI concepts to non-technical stakeholders.
- Leadership Skills: Demonstrated experience building, motivating, and managing high-performing teams.
- Ethical Awareness: Knowledge of AI ethics, data privacy, and regulatory issues highly preferred.
Preferred Qualifications:
- Educational Background: Bachelor's or master's degree in computer science, Engineering, or related field.
- Industry Experience: Experience in industries like automotive, healthcare, or retail, where AI-driven personalization and predictive analytics redefine customer experiences and profitability.
- MLOps Knowledge: Familiarity with MLOps methodologies to streamline moving data-heavy applications from development to robust production deployments.
- Cloud Platforms: Experience with cloud platforms and their integration with AI/ML tools.
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