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.

Salary Range

$139,818 - $162,000 per year.

Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com.

Refer to Req ID

REF49933D

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We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term and long-term incentive programs.

AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html