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.
Job Description
AbbVie Information Research is seeking a Senior Data & Analytics Liaison for Dataverse, a large-scale data and analytics platform supporting R&D global therapeutics. This role serves as a strategic connector between the technical data team and both internal stakeholders and business partners. It requires extensive knowledge of data across the value chain to facilitate effective discussions and collaborations, ensuring that data solutions are precisely aligned with business needs and strategic objectives.

Responsibilities

• Serve as the primary bridge between technical data teams, internal stakeholders, and business partners.
• Drive and facilitate data and analytics discussion between cross-functional teams to understand their data and analytics related needs, translate them into technical requirements, and ensure alignment with business outcome.
• Help translate technical data findings into business-friendly language for stakeholders
• Establish and advocate concepts and frameworks related to Data Quality, Platform Governance, Master Data Management, Data Democratization, Data Catalog and Data Lineage
• Collaborate with Legal, Privacy, Security, and Compliance to establish and ensure compliance with effective data governance frameworks.
• Provide training stakeholders on data tools and insights and act as a resource to resolve any data-related inquiries or challenges.
• Stay informed on industry trends and innovations in data analytics to drive continuous improvement

Qualifications

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. Salary: $121,000 - $230,000
• 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 incentive programs.
• This job is eligible to participate in our long-term incentive program

TOOLS AND SKILLS YOU WILL USE IN THIS ROLE:

• SQL, PySpark & Python
• Parquet Iceberg
• Postgres, Hive, and Impala
• Data Marketplace Tools
• Master Data Management Tools
• Machine Learning Workbench

EXPERIENCES THAT MAKE YOU A STRONG FIT FOR THIS ROLE:

• Bachelor’s degree with at least 8 years’ experience, Master’s degree with at least 7 years’ experience OR PhD with at least 3 years’ experience in relevant field.
• Must have experience with pharmaceuticals industry specific datasets – Clinical Trials, Safety, Regulatory Affairs, Medical Affairs, Health Records, Claims, R&D finance and R&D Quality etc.
• Must have experience with SQL & Pyspark
• Must have experience with database design, data modeling, and data architecture
• Must have experience building or advising on requirements for data and/or analytics solutions
• Must have experience with concept of Master Data Management & Data Quality.
• Experience with standards such as CDISC, FHIR and OMAP is preferred
• Working knowledge of MLOps is preferred
  Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. Salary: $121,000 - $230,000
• 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 incentive programs.
• This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
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.htm

Responsibilities

• Serve as the primary bridge between technical data teams, internal stakeholders, and business partners.
• Drive and facilitate data and analytics discussion between cross-functional teams to understand their data and analytics related needs, translate them into technical requirements, and ensure alignment with business outcome.
• Help translate technical data findings into business-friendly language for stakeholders
• Establish and advocate concepts and frameworks related to Data Quality, Platform Governance, Master Data Management, Data Democratization, Data Catalog and Data Lineage
• Collaborate with Legal, Privacy, Security, and Compliance to establish and ensure compliance with effective data governance frameworks.
• Provide training stakeholders on data tools and insights and act as a resource to resolve any data-related inquiries or challenges.
• Stay informed on industry trends and innovations in data analytics to drive continuous improvemen