Director / Senior Manager, Data Science

Key Responsibilities

• Develop and execute an enterprise-wide data strategy aligned with business objectives.
• Define key performance metrics to measure the impact of data initiatives.
• 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.
• 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.
• 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.
• 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.
• Stay current with emerging technologies in ML, GenAI, and data engineering.
• Promote best practices in data governance, quality, and ethical AI.
• Cultivate a data-driven culture and promote evidence-based decision-making throughout the organization.

Qualifications

• Proven success leading high-performing data science teams and setting strategic direction in fast-paced environments.
• 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.
• Strong understanding of business analytics supporting business stakeholders making decisions.
• Proven ability to translate complex analytical insights into tangible business impact.
• Exceptional ability to present technical and strategic insights clearly to both technical and executive audiences.
• 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.