Senior Data Delivery Expert (US Commercial Business Technology Solutions)

Senior Data Delivery Expert (US Commercial Business Technology Solutions), AbbVie Inc., Mettawa, IL. Hybrid (onsite 3 days a week/ 2 days WFH/remote).
Key Responsibilities
Develop data solutions aimed to enable precision marketing to HCP’s (healthcare practitioners/professionals).
Work w/brand representatives, marketers, data scientists & omni-channel strategists to gather requirements & develop cloud-based solutions of integrated data sets & visualizations to help AbbVie more effectively engage w/ HCP targets.
Work directly in Digital Brand Teams as a critical team member responsible for all data engineering & data science model operationalization.
Education & Experience
Must have a Master's in engineering, computer science, physics, mathematics, business analytics, quantitative life sciences, or related field & 2 years of work experience as a data engineer, systems engineer, or similar role in a commercial biopharma environment with each of the following:
extracting & combining multiple internal & external data sets;
onboarding, consolidating, cleansing, & structuring data for efficient use in reports, analytical applications, & machine learning models;
pressure-testing data requirements to ensure accurate & meaningful data delivery;
performing data analysis & reconciliation on datasets of varying sizes & complexities;
compiling, presenting & explaining data, in writing & orally, to business stakeholders, peers & senior management; &
utilizing data analysis programming languages.
Alternatively, would accept a Bachelor's in engineering, computer science, physics, mathematics, business analytics, quantitative life sciences, or related field & 5 years of work experience as a data engineer, systems engineer, or similar role in a commercial biopharma environment. Of the experience required, must have 5 years with each of the following:
extracting & combining multiple internal & external data sets;
onboarding, consolidating, cleansing, & structuring data for efficient use in reports, analytical applications, & machine learning models;
pressure-testing data requirements to ensure accurate & meaningful data delivery;
performing data analysis & reconciliation on datasets of varying sizes & complexities;
compiling, presenting & explaining data, in writing & orally, to business stakeholders, peers & senior management; &
utilizing data analysis programming languages.
Experience may be gained concurrently. AbbVie will accept any suitable combination of education, training or experience.

Employment type
Full-time

Work arrangement
Hybrid