Job DescriptionAbbVie's Business Technology Solutions (BTS) Information Research (IR) organization is seeking a
Manager, Data Products & Delivery to lead a team responsible for delivering curated data products within ARCH, AbbVie's R&D Convergence Hub. As part of the DELOS team - Data Exploration and Linked Outcome Solutions - this role helps build the trusted, well-curated, AI-ready data foundation needed to advance analytics, reporting, knowledge graph capabilities, and AI-enabled use cases across R&D.
In this role, you will lead a blended team of direct employees and contractors, including data engineers and data curation specialists, accountable for high-quality, well-documented, reusable data products. The team's work spans data curation, data quality, data modeling, metadata, governance, documentation, pipeline coordination, and execution. You will guide day-to-day priorities, lead data curation decisions, coordinate work across initiatives, remove barriers, and help ensure solutions are reliable and aligned with business, scientific, and platform needs.
Working closely with business stakeholders, platform teams, architects, and data owners, you will help translate business and scientific needs into reliable data delivery plans, support data standards, and help drive continuous improvement across data management processes and workflows. You will partner with the Associate Director - Data Strategy, AI & Knowledge Enablement to execute priorities and support the successful delivery of ARCH data initiatives.
This role is an opportunity to lead a team at the center of AbbVie's R&D data transformation, helping deliver trusted, reusable, and AI-ready data products that improve how research data is accessed, connected, understood, and used across the organization.
Responsibilities:- Data Product Leadership: Lead planning and execution for curated, reusable, and AI-ready data products across multiple projects and workstreams. Translate business and scientific needs into clear priorities, coordinate timelines and dependencies, manage risks, and ensure outcomes are practical, scalable, and aligned to stakeholder needs.
- Technical Coordination & Issue Resolution: Coordinate with data engineers, architects, platform teams, and data owners to resolve blockers, manage dependencies, support timely decisions, and ensure teams have the clarity needed to execute effectively.
- Team Leadership & People Development: Mentor, supervise, and coordinate employees, contractors, and external partners supporting data curation, data modeling, engineering, and delivery activities. Set clear expectations, provide feedback, support development, and foster an inclusive, accountable team culture.
- Operating Rhythm & Continuous Improvement: Establish and maintain team operating rhythms, including backlog health, sprint ceremonies, progress visibility, and issue escalation. Identify opportunities to improve efficiency, automation, documentation, and consistency across data product workflows.
- Data Curation Decision Leadership: Lead decisions related to data curation standards, quality expectations, metadata, lineage, documentation, and reusable data practices. Partner with stakeholders to prioritize remediation activities that improve trust, usability, and consistency.
- Stakeholder, Vendor & Partner Collaboration: Partner with business, scientific, technology, platform, vendor, and external-partner stakeholders to understand priorities, align plans, communicate risks and dependencies, and support relationships that advance organizational goals.
- Compliance & Standards: Ensure team activities follow AbbVie policies, data governance standards, software development lifecycle practices, data security expectations, and relevant compliance requirements.
QualificationsRequired:- Bachelor's Degree in information technology, data engineering, data management, analytics, life sciences, or any related field with 7 years' experience; Master's Degree with 6 years' experience; PhD with 2 years' experience.
- Experience mentoring, supervising, or coordinating technical team members, including employees, contractors, vendors, or external partners.
- Experience leading technical delivery in data engineering, data management, data platform, or analytics environments.
- Ability to operate with a high degree of autonomy, resolve technical and delivery challenges, manage priorities across concurrent workstreams, and keep stakeholders informed through clear written and verbal communication.
- Experience managing delivery using Agile practices and planning tools such as Jira, including backlog management, sprint planning, prioritization, and delivery tracking.
- Experience applying data quality, metadata management, governance, lineage, and data modeling practices to support trusted, reusable data products.
- Working knowledge of modern data platforms, data integration, ETL/ELT pipelines, workflow orchestration tools such as Airflow, cloud technologies, SQL-based environments, data warehousing or lakehouse patterns, analytics enablement, and AI-ready data delivery practices.
- Experience collaborating with cross-functional business, scientific, technical, platform, vendor, or external-partner teams.
- Strong communication, planning, and organizational skills, with the ability to translate priorities, risks, dependencies, and delivery status for technical and non-technical stakeholders.
- Data product leadership, with the ability to translate priorities into clear plans, guide execution, remove barriers, and support practical decisions across business and scientific use cases.
- People leadership and team coordination, including expectation setting, feedback, development support, and inclusive team practices.
- Operating discipline across Agile planning, backlog prioritization, sprint execution, progress tracking, risk management, and issue escalation.
- Stakeholder communication and influence, with the ability to translate priorities, risks, dependencies, and delivery status for technical and non-technical audiences.
- Data curation and stewardship mindset, with attention to quality, metadata, documentation, lineage, standards, and trusted reusable data practices.
- Technical fluency with modern data platforms, pipelines, integration patterns, orchestration, cloud-based data environments, and AI-ready data practices sufficient to partner effectively with technical teams.
Preferred:- Pharmaceutical or healthcare industry experience preferred.
- Experience supporting research, clinical, scientific, or life sciences data environments.
- Familiarity with graph databases, knowledge graphs, ontology-based data structures, or linked-data concepts.
- Experience working with AWS/Azure-based or cloud-based data platforms.
- Experience working with regulated data environments, including data governance, documentation, security, or compliance expectations.
- Exposure to analytics, machine learning, AI-enabled use cases, or AI-ready data product delivery.
Additional InformationApplicable 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.
