Director, Data Services And Ai

Summary

Join IT Concepts as a Senior Director of Data Science and AI, where you will define and execute the company's data strategy, leveraging advanced analytics, machine learning, and AI. Lead and mentor a high-performing team, driving AI governance and enterprise-wide adoption. The ideal candidate possesses deep data science expertise and a proven track record of delivering large-scale solutions. This role requires strong leadership, strategic thinking, and excellent communication skills. The position offers remote work within the United States and a competitive benefits package, including paid time off, healthcare, and professional development opportunities. If you are passionate about leveraging data science and AI to drive business success, apply now.

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
• Must be eligible to obtain and maintain a Public Trust clearance

Responsibilities

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

Benefits

• Paid time off
• Healthcare benefits
• Supplemental benefits
• 401k including an employer match
• Discount perks
• Rewards
• Education reimbursement for certifications, degrees, or professional development
• Flexible work
• Funds for virtual and in-person activities – e.g., happy hours, holiday events, fitness & wellness events, and annual celebrations
• Attendance at charity galas/events