Strategic Analytics - Senior Manager, Data Science

Position Overview

The Strategic Analytics team is dedicated to delivering actionable insights to finance and operational leaders, empowering them to make data-driven decisions that drive organizational success. By leveraging advanced analytical techniques and cutting-edge technologies, the team transforms complex data into clear, strategic recommendations. Our team members collaborate closely with various departments to understand their unique challenges and opportunities, ensuring that our analyses are both relevant and impactful. Join us to be at the forefront of strategic decision-making, where your analytical skills will directly contribute to shaping the future of our Firm. Recruiting for this role ends on February 27, 2026. For applicants needing accommodation, please visit: Accommodation Information

Key Responsibilities

• Lead large-scale data science projects: Oversee the planning, execution, and delivery of highly complex predictive modeling initiatives that impact firm-wide strategies and practices.
• Strategic analytics & model development: Design, build, and validate predictive models to forecast critical business outcomes, ensuring solutions align with firm leadership's goals.
• Continuous improvement: Identify and implement opportunities to enhance modeling processes, data pipelines, and project methodologies to ensure ongoing innovation, efficiency, and best-in-class results.
• Data stewardship & feature engineering: Direct acquisition, preparation, and enrichment of datasets from diverse sources to maximize model accuracy and relevance.
• Model deployment & impact measurement: Guide integration of predictive models into business operations, set up monitoring systems, and refine models based on real-world feedback.
• Communication & stakeholder management: Translate analytics insights into clear, actionable recommendations for leadership, and deliver compelling visualizations and reports.

Required Qualifications

• • Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or a related field.
• • Experience Required: Minimum 8 years in predictive analytics, data science, or related roles.
• • Qualifications: Expertise in predictive modeling techniques, including time-series forecasting, ensemble methods, and machine learning algorithms.
• • Proficiency with data science programming languages such as Python, R, and SQL, and experience using leading machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost).
• • Strong statistical analysis skills, including hypothesis testing, model validation, and performance measurement.
• • Experience with data visualization tools (e.g., Tableau) and the ability to communicate complex results in clear, actionable formats for executive stakeholders.
• • Demonstrated project management skills, including managing deliverables, prioritizing tasks, and meeting deadlines under pressure.
• • Ability to travel 0 - 5%, on average, based on the work you do and the clients and industries/sectors you serve.
• • Limited immigration sponsorship may be available.

Preferred Qualifications

• • Experience in a professional services firm.
• • Expertise in Tableau and DataRobot.

Benefits & Perks

• Compensation: $137,400 to $253,000
• Benefits: You may be eligible to participate in a discretionary annual incentive program, subject to the program rules.