6 дней назад
Engagement Manager, Analytics (AI)
136 000 - 204 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engagement Manager, Analytics (AI): Delivering data- and AI-enabled analytics solutions for commercial pharmaceutical and biotech use cases with an accent on client leadership, analytics execution, and practical applications of GenAI and LLMs. Focus on translating business questions into analytics approaches, managing multi-workstream delivery, expanding client engagements, and coaching analytics teams.
Location: New Jersey - Carnegie Center, United States
Salary: $136,000–$204,000 annual base salary, plus an annual discretionary performance bonus.
Company
is a global strategic commercialization partner providing evidence-based strategy, insights, analytics, data, and technology solutions to life sciences companies.
What you will do
- Serve as the day-to-day client contact for analytics engagements, supporting discussions, presentations, and high-quality deliverables.
- Translate commercial pharma and biotech business questions into practical analytics and AI-driven approaches across forecasting, sales analytics, omnichannel measurement, and data science.
- Manage timelines, workplans, stakeholders, deliverables, solution hand-offs, project quality, and scope changes across multiple workstreams.
- Identify opportunities to expand existing client engagements and contribute to proposals, methodologies, timelines, and thought leadership.
- Coach junior team members and guide analytical methodologies, data structures, tools, best practices, and training materials.
- Collaborate with forecasting, data science, product, and data solutions subject-matter experts to deliver integrated solutions.
Requirements
- Bachelor’s degree required; quantitative or life-sciences-related fields are preferred. An advanced degree is a plus.
- 4–7 years of experience in life sciences analytics, consulting, or a related field.
- Strong analytical, structured problem-solving, communication, collaboration, and stakeholder-management skills.
- Foundational understanding of AI, LLMs, and life sciences real-world data.
- Ability to independently manage multiple workstreams and deadlines.
- Proficiency with Microsoft Office Suite.
Nice to have
- Experience with commercial pharma datasets, advanced analytics applications, omnichannel measurement, marketing analytics, or technology-enabled solutions.
Culture & Benefits
- Opportunity to build and scale an Analytics Strategy team within an established global organization.
- Entrepreneurial environment focused on expanding AI-enabled analytics capabilities.
- Annual discretionary performance bonus in addition to base salary.
- Commitment to diversity, equity, inclusion, and a workplace free from discrimination and harassment.
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