Associate Director, Data Architecture

Role Summary

The Associate Director, Data Architecture will lead the design, implementation and management of enterprise data architecture ensuring data integrity, accessibility, and security while meeting regulatory requirements. They will drive transformational change in architecture practices and management.

Responsibilities

• Defines and manages the data architecture standards for IOPS (manufacturing) IT and documents all architecture design and analysis work.
• Design evolvable data architecture for bio-manufacturing operations. Consults with application and infrastructure development projects and products to fit systems or infrastructure to architecture and identify when it is necessary to modify projects to accommodate the data architecture.
• Works closely with the product owners and product managers to ensure a robust architectural runway that can support future business requirements.
• Leads the definition of the principles, guidelines and standards emphasizing modularity, API-first design, and cloud-native approaches. Ensure solution and/or integration decisions are aligned with the enterprise's future-state architecture vision.
• Lead the governance activities associated with ensuring architecture assurance and compliance. Create governance frameworks accommodating future requirements.
• Creates reference architectures focused on detailed design principles, decision points, detailed APIs, major systems and dependencies between business and IT.
• Develop enterprise data models and reference architectures.
• Lead architecture reviews and provide oversight for major initiatives.
• Build stakeholder coalitions across technical and business teams and translate technical concepts for executives and operations personnel.
• Manage, coach and develop team.

Qualifications

• Broad based and in-depth knowledge of complex technologies, tools, and methodologies and how they interact with regulatory guidelines including FDA 21 CFR Part 11 and Annex 11, GMP data integrity requirements.
• Skills including advanced data modeling and database architecture, enterprise integration patterns and data pipeline design, cloud architecture (AWS, Azure) with multi-cloud strategy, domain expertise in batch genealogy tracking, bioprocess monitoring, quality control data flows, process control platforms (DeltaV, Wonderware, Rockwell), containerization, infrastructure as code, cloud-native platforms, API-first architectures, microservices patterns and data mesh, data fabric, distributed data approaches.

Education

• BS/BA in Computer Science or related field with 10 years of relevant experience and 8+ years in an Architecture role.
• Preferred: Master‚Äôs degree in Computer Science or related field and/or 3+ years as Lead/Senior Data Architect in pharmaceutical/life sciences.