Associate Director, Market Access Data Strategy and Business Intelligence

Job Overview

The Analytics and Performance Operations (APEX) team supporting Abb Vie’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 Associate Director 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 Director–Market Access and Patient Services Data Transformation support enterprise capabilities for the APEX organization.

• Lead a team to drive the evolution of our landscape by building scalable solutions and capabilities to maximize value, ensure readiness for advanced analytics & AI, and accelerate speed to insights.
• Modernize Business Intelligence capabilities to automate workflows, embed AI, standardize and streamline reporting to advance self‑serve analytics and data‑driven decisions.
• Develop and execute a plan for data enablement, data literacy and standardization across the Market Access data domains. Maintain a deep understanding of Market Access data needs to drive adoption across these domains.
• Develop and maintain processes and artifacts to understand business rules for key metrics related to key Market Access domains (e.g.: Claims, Payor Plan Hierarchies, Contracts and Rebates).
• Drive the development of efficient, repeatable ETL processes for data ingestion, integration and standardization for analytics and reporting use cases.
• Oversee a program to develop data literacy among APEX Analytics users.
• Partner with Business Technology Services to create data inventories, catalogs & definitions inclusive of relevant Market Access ecosystem concepts and ERD (Entity Relationship Diagrams) to ensure data accessibility, visibility and understanding is supported across all stakeholders.
• Execute data assessments across new or existing data assets and facilitate productive discussions among cross‑functional partners to help bring a more holistic and integrated picture of business opportunities.
• Identify and secure an effective team of resources to execute solutions and plan for appropriate budget needs to build or onboard the solutions in a timely fashion.
• Define key project milestones, risk & contingency plans across a variety of initiatives, and communicating achievements against those milestones to various level audiences.
• In collaboration with APEX partners, consult with Market Access Stakeholders and Business Technology Services, and identify tactical initiatives to deliver data and metrics for measuring/improving program execution.
• Partner with procurement to drive vendor RFPs and negotiate key contracts.

• Bachelor’s degree in one of the following fields:
  Business, Management Information Systems, Engineering, and/or Operations is required. A master’s degree is a plus.
• 10-12 years of professional experience.
• 8-10 years of relevant experience in data analysis, data management, data delivery, and business intelligence. 1-2 years of people supervision experience.
• 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.
• Exposure to…