Director / Senior Manager, Data Science

Responsibilities

• 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.

Requirements

• 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.

Benefits

Additional Information

About Athena At Athena, we empower possibility through transformative delegation. True leaders know where they want to go-and we help them get there. By pairing exceptional Executive Assistants with driven client members, and continuously enhancing that partnership through Human + AI innovation, we help our members achieve 10x more leverage, time, and impact. We are on a mission to build the world's most advanced delegation platform-leveraging AI and human collaboration to redefine how complex work gets done. Role Overview 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.

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