Advanced Analytics Engagement Manager - Immunology

Job Description

Insight Global's Top Pharmaceutical client is seeking an Engagement Manager for their Advanced Analytics organization. The Engagement Manager will act as the conduit between Immunology Commercial Brand Leaders and their Data Science organization to develop and deploy predictive analytics capabilities. The ideal candidate will have a technical analytics background and more recent experience moving into a data product manager role. They should have deep experience with pharmaceutical claims data such as Symphony Health, Komodo, or IQVIA, and experience with data profiling methods.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

5+ years' in Commercial Pharma Analytics

Excellent communication and ability to partner with brands to shape analytics strategies

3+ years in Product or Project Management

Hands on SQL, Python, and/or Similar data profiling skillset

Knowledge of Machine Learning concepts

Familiarity with Commercial Claims Data (Symphony, Komodo, IQVIA preferred)

Excellent communication and interpersonal skills, comfortable being the face of the product for Brands Production Machine Learning model experience (shipping features, MLOps, etc.)

Immunology therapeutic area experience