The business problem that AbbVie is looking to solve is to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
Requirements
- Demonstrated experience in implementing Data Warehouse/Data Lake solutions using cloud-based databases such as Snowflake, Azure SQL Database, or RedShift.
- Proficiency in programming languages and databases, including Python, SQL, and tools like Snowflake and Snowpark, Informatica Cloud (IICS), for tasks involving data manipulation, data replication, storage, and automation.
- At least 5 years of experience in data architecture, data modeling, data integration, and developing data pipelines using IICS, Python, Snowpark etc.
- Experience with Master Data Management and Data Quality implementation.
- Ability to build complex SQL queries, analyze data and generate insights and reports from the data
- Experience with Agile Methodologies and tools like Jira, Confluence.
- Familiarity with data visualization tools such as Qlik, Power BI, or Tableau.
Responsibilities
- Demonstrate a deep understanding of data concepts, analytics, complex data structures, and relationships.
- Create and maintain comprehensive system and project documentation, including change requests, functional requirements, test plans, data migration plans, and cutover plans.
- Review and refine data models for development projects, assisting team members in understanding and adhering to established standards.
- Partner with key stakeholders and external vendors/partners to maintain, optimize, scale, and operationalize existing machine learning models.
- Provide technical leadership in evaluating business use cases for data science feasibility and collaborate with development teams to design and implement data science solutions and capabilities.
- Identify new data science methodologies to enhance our ability to address commercial business questions.
- Collaborate with stakeholders to define business questions, timelines, requirements, objectives, and success criteria for data science initiatives.
Other
- Bachelor’s Degree with a minimum of 7 years of relevant experience, or a Master’s Degree with at least 5 years of experience.
- Experience within the pharmaceutical industry is preferred.
- Excellent communication skills, with the ability to effectively interact and present information both verbally and in writing across all organizational levels.
- Ability to adapt to changing business conditions with agility and nimbleness, demonstrating strong collaboration and teamwork across functional groups.
- Leadership capabilities to strategically guide the team and build trust and respect within the department.
