Engagement Manager, Analytics

About the role

We're committed to bringing passion and customer focus to the business. Trinity is seeking an Engagement Manager to join our growing Analytics organization with a focus on delivering data and AI-enabled analytics solutions. This role blends strong client leadership, analytics execution, and practical application of AI (including GenAI and LLM-based approaches) across commercial use cases.

Essential Functions

• Serves as the day-to-day client contact for analytics engagements—supporting discussions, participating in presentations, and ensuring high-quality deliverables.
• Translates client business questions into practical, analytics and AI-driven approaches across forecasting, sales analytics, omnichannel measurement, and data science.
• Manages execution of project activities, including timelines, workplans, stakeholder coordination, deliverable development, and solution hand-offs.
• Maintains accountability for project quality, accuracy, and consistency across all workstreams.
• Surfaces 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 (e.g., internal points of view, methodology playbooks, capability development).
• Oversee and coach junior team members in day-to-day analytics tasks, project execution, and professional development.
• Provide guidance on analytical methodologies, data structures, and tools.
• Support the development of internal best practices, training materials, and process improvements.
• Collaborate closely with forecasting, data science, product, and data solutions SMEs to bring the right expertise to each engagement.
• Contribute to internal initiatives such as process improvement, training content, or product/tool enhancements.
• Model strong project leadership behaviors: structured problem-solving, expectation setting, quality control, and effective client communication.

Qualifications

• Education: Bachelor’s degree required; advanced degree a plus. Quantitative or life-sciences-related fields preferred (e.g., health sciences, analytics, engineering, economics, statistics, marketing).
• Work Experience: 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.
• Skills: 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.

About Us

Trinity Life Sciences is a trusted strategic commercialization partner, providing evidence-based solutions for the life sciences. With 25 years of experience, Trinity is committed to revolutionizing the commercial model by providing exceptional levels of service, powerful tools and data-driven insights. Trinity’s range of products and solutions includes industry-leading benchmarking solutions, powered by TGaS Advisors.