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ZS

Global management consulting for sales optimization

Enterprise Architect - Life Sciences R&D

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree with specialization in Computer Science, IT, or another computer-related discipline is required.
  • At least 12 years of relevant experience designing and developing enterprise-scale technology solutions for the Life Sciences R&D domain is required.
  • Strong knowledge of clinical systems including EDC, CTMS, eTMF, eCOA, CDMS, SDTM, ADaM, and SAS is required.
  • Expertise in cloud architecture using AWS and/or Azure, including serverless computing, containers, API management, and security best practices, is required.
  • A deep understanding of integration patterns, data pipelines, and real-time analytics architecture is required.
  • Experience with data governance, metadata management, and compliance standards in life sciences is required.
  • Specialization in architecting modern data ecosystems using technologies such as Azure, AWS, Databricks, Snowflake, and Hadoop is required.
  • Demonstrated expertise building scalable data pipelines, real-time streaming architectures, and enterprise-grade data lakes and warehouses is required.
  • Cross-functional leadership aligning business needs with technical roadmaps and enabling analytics, AI/ML, and decision intelligence is required.
  • Skill in Agile delivery models, stakeholder management, and building Centres of Excellence to drive innovation in data engineering practices is required.
  • Candidates must possess or be able to obtain work authorization for their intended country of employment.
  • An online application including a full set of official or unofficial transcripts is required.

Responsibilities

  • Lead end-to-end architecture and technical design of clinical and R&D IT solutions, including study design, feasibility tools, statistical computing environments, and custom clinical data repositories.
  • Drive architecture for advanced analytics platforms such as Risk-Based Quality Management, clinical control towers, and real-time data insights systems.
  • Collaborate with Clinical Operations, Biostatistics, Data Management, and external vendors to align technology solutions with business goals.
  • Design robust and scalable solutions consistent with company and industry practices, use existing assets, and balance architecture requirements with client needs.
  • Define and maintain enterprise and solution architecture standards aligned with security, scalability, and compliance requirements.
  • Develop AI-based agentic architectures to support solution needs, such as AI-agent-based content authoring.
  • Oversee systems integration between EDC, CTMS, eTMF, clinical data repositories, and downstream analytics platforms.
  • Serve as the architectural lead on custom-built applications and digital initiatives in clinical data management and analytics.
  • Ensure architectural compliance with regulatory frameworks such as GxP and 21 CFR Part 11.
  • Create architecture artifacts, including solution blueprints, reference architectures, integration diagrams, and technical roadmaps.
  • Collaborate with security and infrastructure teams on cloud-native deployments using AWS or Azure and DevSecOps strategies.
  • Mentor technical teams and support architectural governance across project delivery.
  • Travel as needed for client-facing project work.

Desired Qualifications

  • Thought leadership in data engineering demonstrated through articles, blogs, forums, papers, or similar work is preferred.
  • Experience with data governance and curation, data quality and master data management, data integration, data virtualization, self-service interaction for data preparation, and testing is a plus.

About the Company

ZS

Global management consulting for sales optimization

ZS Associates helps organizations optimize their sales and marketing operations through data-driven analytics. The company uses mathematical models and rigorous analysis—originating from Kellogg professors in the 1980s—to size and structure sales teams, design territories, forecast markets, manage data, and design incentive compensation. Its services are delivered as consulting engagements that translate complex analytics into practical business decisions, such as how many salespeople a company needs, how to assign territories, and how to align incentives to drive performance. ZS differentiates itself with a deep, methodical focus on analytics, built from decades of experience and applied across industries beyond its pharmaceutical roots. The company’s goal is to help clients improve performance and return on investment by turning data into actionable sales and marketing solutions.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Evanston, IL
Founded
1983

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