Senior Data Delivery Expert (Global Commercial Business Technology Solutions)
Mettawa, IL, United States
- Pay
$139,818–162,000/year — pay source
Additional Information 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: REF49953J
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign and build data, software, and technology solutions for business questions
Elicit requirements from ambiguous business needs and define scope
Present and lead status updates with business stakeholders
Prepare and present data distributions to non-technical audiences
Compile and deliver accurate solution estimates
From the employer’s posting
Design & develop data, software, & tech solutions to business questions.
Elicit requirements from ambiguous business needs.
Present & lead status to business stakeholders.
Prepare & present data distributions to non-tech audiences.
Compile & deliver accurate solution estimates.
What you’ll bring
All qualificationsCore experience
- Experience may be gained concurrently.
Qualification wording
Experience may be gained concurrently.
Education & alternatives
Education & Experience Must have a Master’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 1 year of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have 1 year of experience in: (i) analyzing & engineering data with Structured Query Language (SQL); (ii) gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) analyzing & transforming data with Python; & (iv) storing, processing, & analyzing data on cloud-based solutions. Alternatively, would accept a Bachelor’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 5 years of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have: (i) 4 years analyzing & engineering data with Structured Query Language (SQL); (ii) 3 years gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) 1 year analyzing & transforming data with Python; & (iv) 1 year storing, processing, & analyzing data on cloud-based solutions.
Must have a Master’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 1 year of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have 1 year of experience in: (i) analyzing & engineering data with Structured Query Language (SQL); (ii) gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) analyzing & transforming data with Python; & (iv) storing, processing, & analyzing data on cloud-based solutions. Alternatively, would accept a Bachelor’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 5 years of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have: (i) 4 years analyzing & engineering data with Structured Query Language (SQL); (ii) 3 years gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) 1 year analyzing & transforming data with Python; & (iv) 1 year storing, processing, & analyzing data on cloud-based solutions. Experience may be gained concurrently.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
Education & Experience Must have a Master’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 1 year of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have 1 year of experience in: (i) analyzing & engineering data with Structured Query Language (SQL); (ii) gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) analyzing & transforming data with Python; & (iv) storing, processing, & analyzing data on cloud-based solutions. Alternatively, would accept a Bachelor’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 5 years of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have: (i) 4 years analyzing & engineering data with Structured Query Language (SQL); (ii) 3 years gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) 1 year analyzing & transforming data with Python; & (iv) 1 year storing, processing, & analyzing data on cloud-based solutions.
Must have a Master’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 1 year of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have 1 year of experience in: (i) analyzing & engineering data with Structured Query Language (SQL); (ii) gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) analyzing & transforming data with Python; & (iv) storing, processing, & analyzing data on cloud-based solutions. Alternatively, would accept a Bachelor’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 5 years of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have: (i) 4 years analyzing & engineering data with Structured Query Language (SQL); (ii) 3 years gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) 1 year analyzing & transforming data with Python; & (iv) 1 year storing, processing, & analyzing data on cloud-based solutions. Experience may be gained concurrently.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 2026 · 1 day ago
- Recorded sightings
- 7
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
Senior Data Delivery Expert (Global Commercial Business Technology Solutions), AbbVie Inc., Mettawa, IL, Hybrid (3 fixed days a week/ 2 days WFH/remote).
Key Responsibilities
- Design & develop data, software, & tech solutions to business questions.
- Pressure-test requirements for accurate delivery.
- Present & lead status to business stakeholders.
- Prepare & present data distributions to non-tech audiences.
- Compile & deliver accurate solution estimates.
- Define scope by understanding business needs with technology capabilities.
- Elicit requirements from ambiguous business needs.
- Challenge where needed.
Execute the software development lifecycle for new builds/changes
Qualifications
Education & Experience
Must have a Master’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 1 year of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have 1 year of experience in: (i) analyzing & engineering data with Structured Query Language (SQL); (ii) gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) analyzing & transforming data with Python; & (iv) storing, processing, & analyzing data on cloud-based solutions.
Alternatively, would accept a Bachelor’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 5 years of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have: (i) 4 years analyzing & engineering data with Structured Query Language (SQL); (ii) 3 years gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) 1 year analyzing & transforming data with Python; & (iv) 1 year storing, processing, & analyzing data on cloud-based solutions.
Experience may be gained concurrently.
Additional Information
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: REF49953J
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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
Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.
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- Pay
Additional Information 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: REF49953J
- Location & working pattern
Mettawa, IL, United States
Job Description Senior Data Delivery Expert (Global Commercial Business Technology Solutions), AbbVie Inc., Mettawa, IL, Hybrid (3 fixed days a week/ 2 days WFH/remote). Key Responsibilities
- Work authorization
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