The Principal Data Architect is a visionary leader in the development and success of our cloud-native data platform, which supports the development and integration of predictive and generative machine learning solutions in drug discovery scientist workflows. This role requires a strong ability to see both the big picture and the details, and to work cross-functionally with both wet lab scientists, ML engineers, software engineers, data engineers, and data infrastructure engineers, among others.

This position reports to the Head of AI/ML in Biotherapeutics and Genetic Medicine (BGM) and will serve as a trusted advisor to senior leadership. This role is pivotal in driving our organization towards becoming a leader in the application of artificial intelligence, ensuring that AI and ML initiatives are built on a robust, resilient, and scalable data foundation that grows with the organization.

Key responsibilities:

• Drive the vision, execution, implementation, adoption, and continuous improvement of a robust, scalable data platform as the foundation for the execution of Abb Vie’s AI/ML strategy, particularly within BGM.
• Define data models and architectures that collect, store, structure, access, and connect datasets generated across a dozen different lab groups, enabling downstream uses (ML model development, operational reports, lab documentation, etc.).
• Collaborate closely with wet lab scientists, especially the Head of Lab Data Products, and automation engineers to maximize the utility of data captured by lab automation workflows.
• Collaborate closely with data scientists, and deployment engineers, to ensure data pipelines support both machine learning model development and deployment into production.
• Co-develop and execute a strategy that maximizes FAIR-fication of BGM data and in concert with wider BGM strategic goals.
• Communicate the impact of a robust data platform to Abb Vie’s drug pipeline, using both user stories and KPIs that allow measurement of the value added.
• Multiply impact of the data platform by championing and communicating the principles behind connected data, data stewardship, data-as-a-product, and cloud-first and cloud-native architectures.
• Collaborate with data infrastructure and data governance experts across Abb Vie to ensure that data governance principles and policy are optimally implemented.
• Ensure alignment and coordination of data infrastructure initiatives with existing Abb Vie initiatives such as Convergence, and ARCH.

Qualifications:

• BS, MS, or PhD in computer science, data science, computational biology, computational chemistry, computational biophysics, or related field with typically 16+ (BS) years, 14+ (MS) years, or 8+ (PhD) years of experience in data architecture with a track record of designing enterprise data platforms.
• Deep technical skills in data modeling, data integration, implementation of data storage solutions, data pipelines, and integration with AI/ML.
• Production programming expertise in SQL, python, or Java.
• Experience building cloud data infrastructure solutions using AWS, Azure, or GCP.
• Familiar with both wet and dry lab scientific principles and processes, able to foresee and prevent data platform-originating failure modes.
• Experience with cross-functional team leadership, and track record of collaboration excellence.
• Previous experience in the pharmaceutical or biotechnology sectors.
• Experience managing both team member delivery and career development.
• Exceptional interpersonal and communication skills, and strong evidence of ability to build stakeholder alignment.
• Ability to integrate data governance principles into everyday decision making.

*The position is located at Worcester, MA site as a full time in office or hybrid (3 days per week) role. *

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 thetime 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 short-term incentive programs. ​

• 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 anybonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's soleand absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

Abb Vie 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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Abb Vie'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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within Abb Vie’s R&D, is a global organization that is responsible for discovering and optimizing drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA etc.) for all therapeutic areas across discovery.