Director II, Data Engineering Business Technology Solutions

We are seeking a senior leader for the Data Engineering team supporting the Development side of R&D within AbbVies Information Research organization. This role is accountable for the ingestion curation integration quality and reliable delivery of the transactional data that supports AbbVies drug development pipeline from first-in-human clinical trials through medical affairs. The leader will partner across Clinical Operations Portfolio Performance and Business Excellence Finance Statistics Regulatory Affairs CMC Drug Supply Data Management Pharmacovigilance Medical Health Impact Quality and Compliance to ensure trusted governed fit-for-purpose data is available for operational execution analytics reporting integrations and decision-making. The role will lead approximately 15 AbbVie engineers and oversee close to 100 contractors from a strategic partner combining technical depth delivery discipline and enterprise leadership to scale a modern reliable development data engineering capability. 

Development Data Engineering operates across a complex regulated and highly interconnected data landscape consisting of both internal source systems and external partners supporting the drug development pipeline. This role is accountable for turning that complexity into trusted well-governed reusable data assets that improve interoperability strengthen data quality and lineage reduce operational friction and accelerate data-driven decisions across the drug development lifecycle. 

Responsibilities:

• Own the Development Data Engineering vision strategy and multi-year roadmap; align ingestion curation integration and data quality priorities with Information Research enterprise architecture business stakeholders regulatory expectations and investment priorities. 
• Define the operating model for Development Data Engineering including intake and prioritization design standards delivery governance data quality controls release discipline production support decision rights and accountability across AbbVie engineers strategic partner contractors business partners and platform teams. 
• Lead and develop a high-performing organization of approximately 15 AbbVie data engineers while providing day-to-day leadership accountability and delivery oversight for nearly 100 strategic partner contractors; build engineering capability talent depth partner performance discipline and a culture of quality ownership and continuous improvement. 
• Shape portfolio and investment decisions by translating data engineering tradeoffs into business value delivery risk compliance impact operational resilience and total cost; influence prioritization across pipeline data platforms integration capabilities modernization efforts partner capacity and quality improvements. 
• Provide engineering leadership for major development data initiatives including platform modernization transactional data ingestion data product creation integration pattern standardization lineage and metadata foundations data quality automation operational monitoring and simplification of duplicative capabilities. 
• Design and govern target-state patterns for development data platforms transactional data pipelines curated data products integration services metadata and semantic layers master and reference data data quality controls observability access management and audit-ready delivery in a regulated environment. 
• Define cross-cutting engineering standards for schema design metadata management data lineage master and reference data interoperability API and integration patterns semantic consistency security encryption access control resiliency observability data quality and compliance evidence. 
• Establish and chair engineering governance forums to ensure consistent design delivery discipline production readiness data quality accountability compliance alignment disciplined exception management and scalable reuse across development data initiatives. 
• Drive data governance compliance privacy and risk management in partnership with Legal Security Privacy and Compliance teams ensuring architectures support regulated use cases and audit readiness. 
• Guide enterprise tooling and partner strategy for data engineering activities; evaluate strategic vendors influence sourcing decisions and oversee complex proof-of-concept and due diligence efforts tied to long-term capability building. 
• Represent data engineering architecture strategy in executive forums; communicate options risks investment tradeoffs and transformation implications to senior leadership in business terms. 
• Contribute to financial stewardship for a large-scale architecture and transformation portfolio including shaping annual and multi-year investment plans cost discipline and value realization expectations. 
• What success looks like:
  • Enterprise adoption of a clear target-state architecture standards and decision framework across business units products and delivery teams 
  • Measurable reduction in fragmented platforms duplicated capabilities and architectural exceptions across the R&D landscape 
  • Improved speed to deliver data through reusable patterns stronger interoperability and simplified architecture governance. 
  • Demonstrable business value from major transformation investments including cost optimization capacity efficiency risk reduction and improved delivery predictability. 
  • Mature enterprise architecture practice with strong bench strength documented patterns disciplined governance and visible influence on executive investment choices 

Qualifications :

Required:

• Bachelors Degree in Computer Science Engineering or related field with 12 years of experience.
• Proven success building and leading high performing teams of both solid line and matrixed reporting structures. 
• Strong experience shaping roadmaps target-state architectures and major investment decisions tied to modernization simplification and scale. 
• Proven success designing Data architectures including data products feature stores monitoring and governance in regulated environments. 
• Demonstrated ability to influence senior executives and cross-functional leaders by translating complex technical choices into business value risk and financial implications. 
• Experience establishing enterprise governance mechanisms architecture review processes standards adoption models and operating rhythms across diverse teams. 
• Strong financial and strategic acumen including experience informing portfolio prioritization investment planning vendor strategy and value realization discussions. 
• Behaviors & leadership expectations:
  • Enterprise executive who balances long-range strategic vision with pragmatic delivery and sustained adoption 
  • Leader of leaders who builds organizational capability develops senior talent and scales influence through strong leadership teams. 
  • Highly credible partner to business and technology executives able to simplify complexity and shape critical decisions through trust and clarity. 
  • Disciplined steward of investment and risk who advances innovation while driving accountability resilience and value realization. 

Preferred:

• Advanced degree (MS/PhD) in Computer Science Engineering or related field 
• Prior experience as an enterprise architect or head of architecture in a data/AI-intensive organization 
• Background in regulated industries and familiarity with compliance frameworks and audit processes 
• 10 years of progressive experience in software engineering data engineering enterprise architecture or platform leadership including significant experience influencing at scale in large complex organizations. 
• 10 years of building production grade data capabilities  
• Deep expertise in cloud architecture distributed systems enterprise data platforms interoperability and modern data ecosystem design 

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