Director, AI and Data Science

Salary: Open Bonus

Available in any of the following locations:

Chicago, IL / Houston, TX / Salt Lake City, UT

Hybrid: 3 days onsite, 2 days remote

*We are unable to provide sponsorship for this role*

Qualifications

• Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred.
• 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries.
• Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals.
• Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors.
• Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact.
• Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras.
• Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
• Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
• Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
• Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
• Familiarity with Java or Scala can be advantageous for integration with enterprise systems.
• In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
• Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions.
• Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production.

Responsibilities

• Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting-edge technology into practical, impactful legal solutions.
• Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations.
• Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI.
• Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives.
• Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework.
• Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation.
• Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector.