Director, Data Services and AI

Senior Director of Data Science and AI

Description

This role is a results-driven position responsible for defining and executing a data strategy that leverages advanced analytics, machine learning, and AI to drive measurable business impact. The position will lead the development, deployment, and scaling of AI/ML models and data-driven solutions, ensuring seamless integration across the organization. The ideal candidate has deep expertise in data science, statistical modeling, machine learning, and AI, with a proven track record of delivering large-scale production-grade solutions. This position requires strong leadership to build and mentor a high-performing team while driving AI governance, compliance, and enterprise-wide adoption.

If you are passionate about leveraging data science and AI to drive business success and have a proven track record of leadership in this field, we invite you to apply and join an innovative team.

Responsibilities:

Leadership and Strategy:

• Develop and execute the overall strategy for data science and AI.
• Collaborate with executive leadership to align data science and AI strategy with business objectives and delivery.
• Lead, mentor, and grow a team of data scientists, machine learning engineers, and AI researchers.
• Drive innovative solutions by leveraging partnerships with academies, businesses, and government.
• Define and implement an AI governance framework ensuring ethical AI and compliance.
• Drive AI adoption at scale, integrating solutions across enterprise systems.

Technical Expertise:

• Drive the development and implementation of machine learning models and AI solutions, leveraging modern AI services such as OpenAI, Gemini, and Agentic AI, as well as AI/ML cloud services such as AWS SageMaker, Azure ML, and GCP Vertex.
• Stay current with the latest data science and AI advancements to determine feasible advancements and integrate innovative approaches.
• Ensure best practices in data engineering, model deployment, and performance monitoring.
• Develop methods and approaches to maximize new data services solutions to advance AI differentiating capability.

Project Management:

• Convert strategy into executable roadmaps and plans to advance goals in Data Science and AI.
• Oversee the lifecycle of data science and AI projects from ideation to deployment.
• Ensure timely delivery of high-impact projects that drive business value.
• Prioritize projects based on business impact, feasibility, strategic importance, and resource availability.
• Translate AI Strategy into an execution roadmap with measurable KPIs.

Collaboration:

• Work closely with cross-functional teams, including product, engineering, marketing, and finance.
• Foster a culture of innovation through a data-driven decision-making and continuous improvement approach.
• Communicate complex data science concepts to non-technical stakeholders clearly and concisely.

Compliance and Ethics:

• Ensure compliance with data privacy regulations and ethical guidelines in AI practices.
• Promote responsible AI usage and mitigate potential biases in models.

Location:

This position can be performed remotely within the United States and will support Eastern Time working hours.

Requirements:

• Advanced degree (Masters or Ph.D.) in Data Science, Computer Science, Statistics, or a related field.
• Minimum of 10 years of experience in data science and AI, with at least 5 years in a leadership role.
• Proven track record of delivering impactful data science and AI projects.
• Experience in leading and mentoring a high-performing team.
• Experience with deploying AI models at scale.
• Expertise in AI risk management, bias mitigation, model explainability, regulatory compliance (GDPR, CCPA, HIPAA), and responsible AI frameworks.
• Expertise in machine learning, deep learning, and statistical modeling.
• Proficiency in programming languages such as Python, R, and SQL.
• Experience with big data technologies (e.g., Hadoop, Spark, Databricks, and EMR) and cloud platforms (e.g., AWS, Azure, and Oracle).
• Experience with AI/ML frameworks and cloud services such as Tensorflow, Pytorch, Caffe, MS Cognitive Toolkit, AWS SageMaker & Bedrock, Azure Machine Learning, GCP Vertex AI, and Databricks ML for model training, deployment, and lifecycle management.
• Experience and familiarity with modern AI consumer services such as ChatGPT, Co-Pilot, OpenAI, Gemini, and Agentic AI.
• Strong strategic thinking and problem-solving abilities.
• Excellent communication and presentation skills.
• Ability to foster a results-driven and execution-focused team environment.

Clearance Requirements:

Must be eligible to obtain a Top-Secret clearance.