Director, Data Sciences

Reed Technology • Raleigh, NC

72d • $133,400 - $247,800

About The Position

The Director, Data Sciences raises data-driven decision making of a function within a business unit through team leadership. They are also client/industry-facing, and they evangelize methodologies and best practices. They lead people and teams to develop an overall strategy for the execution of projects including creating use cases, roadmaps, alignment of stakeholders, and prioritization. This person acts as coach and leader of Managers and Data Scientists, as well as other resources. Influence should extend outside the director's immediate team to other teams within the director's peers. The Director drives development and implementation across the team to the business, rooted in a deep understanding of our customers, markets, trends, and challenges.

Requirements

• Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus.
• 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions.
• Demonstrated experience in managing and scaling data science teams of 15+ professionals.
• Proven record of delivering high-impact AI and ML solutions that have driven significant business value.
• Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications.
• Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale.
• Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring.
• Strong business acumen with the ability to translate complex technical concepts into business value.
• Excellent communication and leadership skills, with experience presenting to executive leadership.
• Experience working in a global or multicultural environment.
• Record of successful collaboration with product, engineering, and business teams.
• Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies.

Responsibilities

• Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities.
• Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
• Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage.
• Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems.
• Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
• Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability.
• Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively.
• Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges.
• Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability.
• Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility.
• Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders.
• Manage departmental budget, resource allocation, and infrastructure needs for data science operations.
• Develop and enforce ethical guidelines and best practices for AI development and deployment.

Benefits

• Comprehensive, multi-carrier program for medical, dental and vision benefits.
• 401(k) with match and an Employee Share Purchase Plan.
• Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs.
• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity.
• Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits.
• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts.
• Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees