Operations Manager – Data Science & Insights

Operations Manager – Data Science & Insights

Requirements

• Bachelor’s degree in Business Administration, Finance, Operations Management, or a related quantitative field.
• 5+ years of experience in an operations, finance, or project management role within a consulting firm or a professional services organization, ideally with exposure to data science or technology teams.
• Proven expertise in resource planning, capacity management, and optimization strategies.
• Strong financial acumen with demonstrated experience in budgeting, forecasting, and financial analysis.
• Exceptional analytical skills with the ability to interpret complex data, identify key trends, and generate actionable insights.
• Proficiency in reporting tools, advanced Excel skills and project management tools is a strong plus.
• Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely to diverse audiences, including senior leadership.
• Demonstrated ability to work independently, manage multiple priorities, and thrive in a fast-paced, dynamic environment.
• Strong interpersonal skills and a collaborative mindset, with the ability to build effective relationships across teams.

Responsibilities

• Lead the comprehensive resource planning process for the Data Science & Insights team, aligning talent with project demands and strategic priorities.
• Develop and implement tactics to optimize resource utilization, ensuring high billable utilization rates while maintaining team well-being and development.
• Collaborate closely with project managers and data science leads to forecast staffing needs, identify skill gaps, and facilitate appropriate resource allocation across diverse client engagements.
• Manage and maintain resource management tools and systems, ensuring data accuracy and providing insightful reporting on capacity, demand, and utilization.
• Oversee the financial forecasting process for the Data Science & Insights team, including revenue projections, expense tracking, and profitability analysis.
• Partner with finance and leadership to develop and manage team budgets, identifying opportunities for cost optimization and efficiency.
• Conduct in-depth financial analysis of projects and team performance, providing actionable insights to drive profitability and strategic investment decisions.
• Ensure accurate and timely financial reporting, adhering to internal policies and supporting overall company financial objectives.
• Develop, prepare, and deliver comprehensive monthly performance reports for the Data Science & Insights leadership.
• Analyze key operational metrics, including project delivery timelines, client satisfaction, resource utilization, and financial performance, identifying trends and areas for improvement.
• Translate complex data into clear, concise, and actionable insights, presenting findings and recommendations to stakeholders to inform strategic adjustments.
• Implement and refine reporting processes and tools to enhance data visibility and support continuous performance improvement.
• Oversee the progress of key Data Science & Insights initiatives including pipeline reporting and team development tracking.

Preferred Qualifications

• Master’s degree or MBA preferred.