Data Architect - AI & Data Products Architect
Philadelphia, PAJobPosted 2mo ago
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Job overview
Insight Global is hiring a Data Architect - AI & Data Products Architect. A large pharmaceutical client is seeking a hands-on Data Architect to design and deliver AI-enabled data products within an enterprise data platform. This role involves partnering with product managers, engineering teams, and business stakeholders to create scalable data models and architecture for AI/ML and agentic AI use cases. The ideal candidate will actively design datasets, data models, and data foundations to enable AI-driven solutions and intelligent agents.
Key focus areas include Design and implement scalable enterprise data architectures and data products., Create and maintain logical and physical data models that support AI/ML initiatives., and Design datasets and make them accessible for end users, analytics teams, and AI applications..
Successful candidates bring 10+ Years Data Modeling Experience. Important skills include Data Modeling, Data Architecture, SQL, Apache Spark, Life Sciences, and Pharmaceutical. Preferred (not required): Electronic Lab Notebook Platforms.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
A large pharma client is seeking a hands-on Data Architect to support the design and delivery of AI-enabled data products within a large-scale enterprise data platform. This individual will partner closely with product managers, engineering teams, and business stakeholders to design scalable data models, data products, and architecture that support AI/ML and agentic AI use cases. This is not a strategy-only architecture role. The ideal candidate will be actively involved in designing datasets, data models, and data foundations that enable AI-driven solutions and intelligent agents across the organization.
Key Responsibilities
Design and implement scalable enterprise data architectures and data products.
Create and maintain logical and physical data models that support AI/ML initiatives.
Design datasets and make them accessible for end users, analytics teams, and AI applications.
Partner with product managers and business stakeholders to gather requirements and translate them into technical solutions.
Define governance standards and ensure data quality, metadata management, and compliance best practices.
Support AI and Agentic AI initiatives by designing data foundations and pipelines that enable intelligent workflows and automation.
Collaborate with engineering teams to ensure solutions are scalable, maintainable, and aligned with enterprise architecture standards.
Drive architecture delivery from concept through implementation.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
10+ years of experience working in Data Modeling & Architecture - Strong experience designing enterprise data models and data architectures.
Hands-On Technical Experience with SQL expertise, Apache Spark, and working closely with data engineering teams and modern data platforms
Experience supporting AI/ML initiatives through data Life Sciences, Pharmaceutical, or Healthcare experience.
Experience supporting drug discovery or research data environments.
Exposure to Electronic Lab Notebook (ELN) platforms.
Experience with cloud data platforms (AWS, Azure, or GCP).
Background designing AI-enabled data products in highly regulated environments.
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