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 www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job DescriptionAs a Lead 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 partners operate. You will serve as the critical bridge between complex business needs and technical execution—deeply understanding current-state processes, translating inefficiencies into innovative automation opportunities, and leveraging enterprise tools to deliver rapid ROI. This role uniquely combines hands-on technical leadership with strategic thinking: you will architect end-to-end solutions, build working prototypes, mentor the team 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 Corporate Services within the Business Technology Solutions department. We 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 points, constraints, to-be business requirements, and success metrics; translate these into technical solution designs that deliver measurable efficiency gains.
- Engineer and implement scalable data engineering solutions; delivering clean, scalable, production-ready code that integrates with enterprise systems and optimizes business partner workflows.
- Prioritize rapid prototyping and iterative development, building working MVPs quickly to validate solutions with stakeholders, then refining based on feedback to accelerate time-to-value.
- Cultivate cross-team relationships while continuously expanding technical knowledge; identifying existing capabilities, shared platforms, and collaborative opportunities that maximize internal resources and drive productivity gains.
Required:
- Bachelor's Degree with 7 years of experience; Master's Degree with 6 years of experience; or PhD with 2 years of relevant experience.
- Python and SQL proficiency required — 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 and maintain production-grade software in enterprise environments, including ongoing support, monitoring, and iterative improvements.
- Strong analytical, problem-solving, and diagnostic skills with ability to understand business processes and identify automation opportunities.
- Broad technical proficiency across software development, data integration, cloud platforms, and enterprise systems — with ability to rapidly learn and apply new technologies.
- Excellent written and oral communication skills, including ability to communicate technical concepts to non-technical stakeholders.
- Operate with high autonomy and minimal supervision—proactively managing stakeholder expectations and keeping leadership informed through clear, concise verbal and written communication.
- Demonstrated ability 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 of SDLC methodologies, GxP compliance, 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.
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 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.html
Skills Required
- Bachelor's degree with 7 years of experience, master's degree with 6 years, or PhD with 2 years of relevant experience
- Expert-level proficiency in Python and SQL for production code, pipeline automation, LLM enrichment, and enterprise integrations
- Experience developing batch and real-time data pipelines using Apache Spark, Apache Kafka, Apache Flink, Databricks, or equivalent platforms
- Experience with modern cloud data platforms and services, including 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 such as Apache Airflow, dbt, or Prefect
- Experience preparing enterprise data for AI engineering, including embeddings, vectorization, retrieval-augmented generation, semantic search, vector databases, generative AI, and agentic AI
- Experience delivering and maintaining production-grade enterprise software, including support, monitoring, and iterative improvements
- Strong analytical, problem-solving, diagnostic, communication, and stakeholder-management skills
- Ability to operate autonomously, manage stakeholder expectations, and communicate clearly with leadership
- Demonstrated ability to mentor technical staff, lead cross-functional teams, and drive initiatives to completion
- Experience in the pharmaceutical industry or another highly regulated environment
- Understanding of SDLC methodologies, GxP compliance, and validation requirements
- Experience working with international development teams across multiple time zones
- Exposure to graph databases and GraphQL
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
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Retirement Support — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
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Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
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Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.
