We are seeking a Director / Senior Manager of Data Science to lead Athena’s data strategy and enable data-driven decision-making across the organization. This leader will define our data vision, align initiatives with business goals, and manage a team of data scientists and analytics engineers to deliver business analysis and innovative AI/ML solutions that drive measurable impact.

You will set the strategic direction for data and AI, oversee project execution from ideation to deployment, and collaborate with senior leadership to embed data-centric thinking across the company. This role requires a blend of strategic foresight, hands-on technical expertise, and exceptional leadership.

Strategic Leadership

• Develop and execute an enterprise-wide data strategy aligned with business objectives.

• Define key performance metrics to measure the impact of data initiatives.

Team Leadership & Development

• Lead and mentor a team of data scientists and analytics engineers, fostering innovation, growth, and cross-functional collaboration.

• Build a high-performance, diverse, and agile data organization.

Project Oversight

• Manage the full lifecycle of data science projects—from research and model development to production deployment.

• Ensure consistent quality, scalability, and integration of solutions into business processes.

Technical Expertise

• Provide thought leadership in advanced analytics, statistical modeling, and machine learning.

• Guide the design and implementation of ML models, AI systems, and data-driven applications.

Business Partnership

• Partner with C-level executives and business leaders to identify high-impact opportunities for AI and analytics.

• Translate complex data insights into actionable business recommendations and measurable outcomes.

Innovation & Best Practices

• Stay current with emerging technologies in ML, GenAI, and data engineering.

• Champion best practices in data governance, quality, and ethical AI.

• Cultivate a data-driven culture and promote evidence-based decision-making throughout the organization.

Leadership & Vision

• Proven success leading high-performing data science teams and setting strategic direction in fast-paced environments.

Technical Proficiency

• Expertise in Python and open-source data science tools (e.g., Jupyter, R, SQL, Hadoop, Spark, TensorFlow, Keras, PyTorch, Scikit-learn).

• Ability to evaluate and apply cutting-edge ML/AI techniques to real-world business problems.

Business Acumen

• Strong understanding of business analytics supporting business stakeholders making decisions.

• Proven ability to translate complex analytical insights into tangible business impact.

Communication & Influence

• Exceptional ability to present technical and strategic insights clearly to both technical and executive audiences.

Education & Experience

• Bachelor, Master or Ph.D. in a quantitative discipline (Data Science, Computer Science, Statistics, or related field).

• Extensive experience leading data science initiatives, with a track record of delivering measurable business outcomes.