Lead Data and Analytics Engineer

As aLead Data and Analytics Engineer you will drive measurable business impact by designing and implementing data solutions that transform how our Corporate Services and HR business willserve as the critical bridge between complex business needs and technical executiondeeply understanding current-state processes translating inefficiencies into innovative automation opportunities andleveragingenterprise tools to deliver rapid ROI. This role uniquely combines hands-on technical leadership with strategic thinking:you willarchitect end-to-end solutions build working prototypes mentortheteam in design thinking and agentic development and ensure every solution drives tangible efficiency gains and value for stakeholders. 

This role reports to the Associate Director BTS CorporateServiceswithin the Business Technology Solutions set the vision for how data analytics and AI automation enhance our enterprise systems. We work closely with business partners and technical implementors to bring that vision to life. This is a hybrid role required to be on-site Tuesday through Thursday every week in Lake County IL.

Responsibilities: 

• Engage deeply with Corporate Services and HR stakeholders to understand current-state processes pain pointsconstraintsto-bebusiness requirements and success metrics; translate these into technical solution designs that deliver measurable efficiency gains. 
• Engineer and implement scalable data engineering solutions;deliveringclean scalable production-ready code that integrates with enterprise systems and optimizes business partner workflows. 
• Prioritize rapid prototyping and iterative developmentbuilding working MVPs quickly tovalidatesolutions with stakeholders then refining based on feedback to accelerate time-to-value. 
• Cultivate cross-team relationships while continuously expanding technical knowledge;identifyingexisting capabilities shared platforms and collaborative opportunities that maximize internal resources and drive productivity gains. 

Qualifications :

Required:

• Bachelors Degree with 7 years of experience;Masters Degreewith 6 years of experience; or PhD with 2 years of relevant experience. 
• Pythonand SQL proficiencyrequired expert-level ability to write production-quality code for pipeline automation LLM enrichment and enterprise integrations. 
• Experience developing batch and real-time data pipelines using technologies such as Apache Spark Apache Kafka Apache Flink Databricks or equivalent platforms. 
• Experience with modern cloud data platforms and services such as Azure AWS or Google Cloud. 
• Strong knowledge of data modeling data warehousing data lakes and data lakehouse architectures. 
• Experience implementing data quality observability lineage metadata management governance and security. 
• Familiarity with data orchestration tools like Apache Airflow dbt Prefect etc. 
• Experience preparing enterprise data for AI engineering use cases including embedding and vectorization pipelines Retrieval-augmented generation and semantic search architectures Vector databases or vector search capabilities and generative AI and agentic AI applications. 
• Proven ability to deliver andmaintainproduction-grade software in enterprise environments including ongoing support monitoring and iterative improvements. 
• Strong analytical problem-solving and diagnostic skills withabilityto understand business processes andidentifyautomation opportunities. 
• Broad technicalproficiencyacross software development data integration cloud platforms and enterprise systems withabilityto rapidly learn and applynew technologies. 
• Excellent written and oral communication skills including ability to communicate technical concepts to non-technical stakeholders. 
• Operatewith high autonomy and minimal supervisionproactively managing stakeholder expectations and keeping leadership informed through clear concise verbal and written communication. 
• Demonstratedability to mentor technical staff lead cross-functional teams and drive initiatives to completion.

Preferred:

• Experience in the pharmaceutical industry or other highly regulated environments is preferred. 
• Understanding ofSDLC methodologiesGxPcompliance and validation requirements is preferred. 
• Experience in working with international development teams across multiple time zones is preferred. 
• Exposure to graph databases and GraphQL a plus. 

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 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 Companys sole and absolute discretion unless and until paid and may be modified at the Companys 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. 

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Work :

No

Employment Type :

Full-time