VP of Applied AI

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Requirements:

• 15 years of experience in data science, applied AI/ML, and advanced analytics, with a proven track record of developing and executing AI strategies that drive significant business transformation and ROI.
• 8 years in leadership roles, including team building, mentoring, and retention, demonstrating the ability to recruit, develop, and lead high-performing AI/ML teams.
• Expertise in aligning AI initiatives with business goals, facilitating cross-functional collaboration, and integrating AI solutions into existing processes.
• Expert-level proficiency in Python and SQL for data manipulation and querying.
• Proven experience in designing, implementing, and managing robust MLOps pipelines for automated model training, validation, versioning, deployment, performance monitoring, and governance.
• Proficiency in using machine learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras for model development and experimentation.
• Experience with cloud-based AI services and tools, such as AWS SageMaker, Google AI Platform, and Azure Machine Learning, to streamline AI development and deployment.

Responsibilities:

• Define, articulate, and champion a clear, actionable AI strategy and multi-year roadmap aligned with AmeriLife's business objectives.
• Identify, evaluate, and prioritize AI opportunities across all business functions, focusing on initiatives that deliver competitive differentiation and quantifiable ROI.
• Collaborate closely with executive leadership and business unit heads to secure buy-in, allocate resources, and ensure strategic alignment for all AI initiatives.
• Facilitate cross-functional collaboration to integrate AI solutions seamlessly into business processes and drive organizational change.
• Lead the full lifecycle of AI/ML solution development: from ideation and design through development, testing, deployment, and maintenance.
• Recruit, build, mentor, and lead a high-caliber, cross-functional team comprising AI/ML engineers, data scientists, and AI product or project managers.
• Cultivate a dynamic team culture centered on innovation, rapid iteration, collaboration, continuous learning, and ethical AI practices.
• Forge strong partnerships with business units, especially core distribution channels, to co-create AI solutions that address specific needs and drive adoption.
• Develop and execute comprehensive change management strategies to facilitate the smooth adoption of AI technologies.
• Provide regular, transparent reporting on AI program progress, outcomes, and challenges to executive leadership and key stakeholders.
• Utilize performance data and feedback loops to continuously refine the AI strategy, prioritize initiatives, and optimize deployed solutions.