Manager, Market Access Data Strategy and Business Intelligence

Company Description

About AbbVie

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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Analytics and Performance Operations (APEX) team supporting AbbVie's US Commercial organization is growing every day. We comprise highly respected researchers, analysts, and Data SMEs striving to be the gold standard Research & Analytics organization within the biopharmaceutical industry. We serve as strategic in-house advisor and pragmatic compass to Marketing, Sales, and Leadership - ensuring that all decisions are grounded in rigorous intelligence and earned intuition. We look at 'data' differently - as an input into insight generation, not an endgame. We appreciate ambiguity but recognize the need for clarity. We work tirelessly to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. Patients depend on us, and we take that very seriously - without taking ourselves too seriously. We are smart, fun, quirky, and innovative - and we'd love for you to join us.

The Manager of Data Strategy and Business Intelligence will develop and execute data strategy plans to support the Market Access and Patient Services organization. This role will report to the Associate Director - Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization

Responsibilities:

• Maintain comprehensive knowledge of market access data architecture and data flows
• Proactively identify and resolve data quality and integrity issues
• Collaborate with Business technology Solutions (BTS) and data engineering teams to optimize data pipelines
• Troubleshoot complex data-related problems and implement sustainable solutions
• Develop and execute a plan for data acquisition and enablement across the various Market Access data domains
• Serve as a subject matter expert for data related to key Market Access domains (eg: claims, Payor and Plan hierarchy, syndicated data assets etc.)
• Lead the design, build, and implementation of new BI platforms and analytics solutions
• Drive ongoing platform enhancements based on evolving business needs and technological advancements
• Establish and maintain BI standards, best practices, and governance frameworks
• Partner with business stakeholders to gather, document, and manage requirements for key performance indicators (KPIs)
• Define and maintain business rules ensuring data accuracy and consistency across reporting
• Translate complex business needs into technical specifications for BI solutions
• Execute data assessments across new and existing data assets and make use case recommendations to analytics teams.

Qualifications

• Bachelor's degree in one of the following fields: Business, Management Information Systems, Engineering, and/or Operations is required 5+ years of experience in business intelligence, data analytics, or related field
• 3-5 years of experience in leading projects independently
• Experience in concepts of Managed Market controls and pricing (Trade, PBMs, Payors, Government), Pharmaceutical supply chain, Health system affiliations and formulary data
• Experience in business and/or analytics consulting roles for technology/analytics services companies a plus.
• Strong working knowledge of syndicated pharmaceutical data sources, including claims data sources
• Proven track record of successfully delivering BI initiatives from concept to production
• Strong analytical mindset with passion for working with data
• Hands-on proficiency in BI tools and platforms (e.g. Power BI)
• Experience with data modeling and database design principles
• Hands on ability with tools, programming languages and cloud infrastructure for ETL - SQL, Trino Snowflake, AWS.
• Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of technologies to support the analytics value chain across descriptive and predictive analytics

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.
• 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.

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

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