Job Specifications
Our customer is hiring a results-driven Senior Director of Data Science and AI to define and execute their data strategy, leveraging advanced analytics, machine learning, and AI to drive measurable business impact. This role 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 data science, statistical modeling, machine learning, and AI expertise, 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 our innovative team.
Responsibilities:
Leadership and Strategy:
Develop and execute the company's 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.
Work with Sr. Director of Innovation and Emerging Technology to deliver scalable and repeatable solutions aligned to the company's core competencies.
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:
Ability to shape and convert strategy into executable Roadmaps and Plans to advance the company's goals in Data Science and AI space.
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 (Master's 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 etc.
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.
Must meet updated ID requirements:
If you do not currently meet the ID requirements outlined, you must be willing and able to update your current forms of ID in a timely manner to complete the