Engagement Manager, Sales Analytics

Role Overview

• Serve as the day-to-day client lead on commercial analytics engagements, managing communication, expectations, and deliverables
• Translate client business questions into structured analytical approaches across field team strategy, incentive compensation, and brand analytics
• Oversee the design and execution of analyses, including sales team sizing, segmentation, targeting, performance reporting, and IC plan design
• Ensure high-quality, accurate, and insight-driven deliverables, including executive-ready presentations and tools
• Manage project plans, timelines, workstreams, and stakeholder coordination across multiple engagements
• Proactively identify risks, scope changes, and client needs, and recommend solutions to maintain project success
• Lead and mentor junior team members, including Associates, Consultants, and Senior Consultants, across project execution and professional development
• Provide guidance on analytical methodologies, tool development, and problem-solving approaches
• Foster a collaborative, high-performance team environment with strong communication and accountability
• Support staffing decisions and help manage team capacity across engagements
• Collaborate closely with cross-functional teams (e.g., Strategy, Insights, Analytics, and Data Science) to deliver integrated solutions
• Contribute to the development of best practices, reusable modules, and scalable analytics solutions
• Support internal initiatives such as training, process improvements, and knowledge sharing
• Model strong project leadership behaviors, including structured problem-solving, quality control, and effective communication
• Contribute to the growth of existing client engagements by identifying opportunities to extend or deepen project work
• Support proposal development efforts, including providing input on scope, approach, and timelines as needed
• Participate in internal knowledge sharing and capability-building initiatives within Commercial Analytics.

Requirements

• Bachelor’s degree required; advanced degree (MS, MBA, or equivalent) preferred
• 6–8 years of experience in commercial analytics, consulting, or related roles within life sciences
• Strong experience in areas such as sales analytics, field team planning, incentive compensation design, or brand analytics
• Experience working with life sciences datasets (e.g., claims, sales, call activity, or patient-level data) required
• Prior experience managing projects and leading teams preferred
• Advanced proficiency in Excel and PowerPoint required
• Experience with business intelligence tools (e.g., Tableau, Power BI) preferred
• Familiarity with programming languages (e.g., SQL, Python, VBA) is a plus
• Strong structured problem-solving and analytical capabilities
• Strong client management and stakeholder communication skills
• Ability to independently manage multiple projects and priorities in a fast-paced environment
• Demonstrated leadership and team management capabilities
• Ability to translate complex analyses into clear, actionable insights and recommendations
• Strong attention to detail and commitment to high-quality deliverables
• Collaborative, team-oriented mindset with a proactive and solutions-driven approach
• Interest in the life sciences industry and commercialization strategy.

Tech Stack

• Python
• SQL
• Tableau
• VBA

Benefits

• Annual discretionary performance bonus