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Trinity Life Sciences

Engagement Manager, Analytics

Trinity Life Sciences

Engagement Manager overseeing analytics projects at Trinity Life Sciences. Delivering data and AI-driven analytics solutions to enhance client relationships and growth.

Posted 4/11/2026full-timeSan Francisco • California, New Jersey • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 per yearWebsite

About the role

Key responsibilities & impact
  • Serve as the day‑to‑day client contact for analytics engagements—supporting discussions, participating in presentations, and ensuring high-quality deliverables
  • Translate client business questions into practical, analytics and AI‑driven approaches across forecasting, sales analytics, omnichannel measurement, and data science
  • Manage execution of project activities, including timelines, workplans, stakeholder coordination, deliverable development, and solution hand‑offs
  • Maintain accountability for project quality, accuracy, and consistency across all workstreams
  • Surface risks or scope changes early and guide clients through potential solutions or adjustments
  • Identify opportunities to expand existing client engagements by recognizing emerging needs or gaps
  • Support proposal development by contributing to scopes of work, methodologies, timelines, and materials
  • Participate in thought‑leadership‑aligned initiatives when appropriate
  • Oversee and coach junior team members in day‑to‑day analytics tasks, project execution, and professional development
  • Collaborate closely with forecasting, data science, product, and data solutions SMEs to bring the right expertise to each engagement.

Requirements

What you’ll need
  • Bachelor’s degree required; advanced degree a plus
  • 4–7 years of experience in life sciences analytics, consulting, or related fields
  • Experience with commercial pharma datasets, advanced analytics applications, omnichannel measurement, marketing analytics, or technology‑enabled solutions is preferred
  • Strong analytical and structured problem‑solving abilities
  • Foundational understanding of AI, LLMs, and life sciences real-world data
  • Excellent communication skills (written and verbal)
  • Ability to independently manage multiple workstreams and deadlines
  • Strong collaboration and stakeholder‑management capabilities
  • Proficiency with Microsoft Office Suite.

Benefits

Comp & perks
  • Annual discretionary performance bonus

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
analyticsAIdata scienceforecastingsales analyticsomnichannel measurementadvanced analytics applicationsstructured problem-solvingcommercial pharma datasetstechnology-enabled solutions
Soft Skills
communication skillscollaborationstakeholder managementproject managementcoachingaccountabilityrisk managementclient engagementthought leadershipindependent work