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The Life Sciences Industry- Enterprise Architect (Business Technology Architect – Data & Analytics) is a strategic technology leader responsible for defining, designing, and governing enterprise‑scale data and analytics architecture that enables regulated, data‑driven Life Sciences operations. This role partners closely with R&D, Clinical, Regulatory, Pharmacovigilance/Safety, Manufacturing, Supply Chain, Commercial, Finance, Quality, Security, and Data & AI teams to ensure the enterprise data ecosystem supports compliance, integrity, scalability, insight generation, and AI enablement.
Enterprise Architects (Business Technology Architects) define and structure the enterprise’s business and technology strategy, capabilities, services, governance, organizational domains, and key business processes, translating business intent into end‑to‑end architecture outcomes. In this role, the focus is on data as a core enterprise asset—connecting transactional platforms, analytical systems, and AI‑enabled capabilities across the Life Sciences value chain. The architect aligns goals and objectives with platforms (package‑based and custom), data products, integration services, and analytics capabilities to optimize enterprise decision‑making and operational performance.
This role requires deep understanding of Life Sciences data dimensions and semantics, including clinical, manufacturing, quality, supply, commercial, and finance data, across Pharmaceuticals (Innovator & Generics), Biotechnology, MedTech & Medical Devices, Diagnostics, Consumer Health, and the extended ecosystem of CROs, CMOs/CDMOs, distributors, and channel partners. The architect must balance data governance, regulatory expectations, and AI readiness while enabling speed, reuse, and scale.
- Managing Enterprise Architect (Business Technology Architect) – Design, deliver, and manage complete enterprise data and analytics architecture solutions, including capability‑based roadmaps, target‑state data architectures, reference architectures, and governance. Demonstrate leadership across the architecture and data community with a strong focus on business outcomes and pragmatic execution.
- Translate business outcomes (regulatory compliance, data integrity, insight timeliness, operational efficiency, AI enablement, revenue protection) into data architecture, reliability, quality, lineage, and observability requirements.
- Operate as a stream lead at CIO/CDO/CTO level for internal or external clients; lead Capgemini architecture execution related to data, analytics, and AI platforms, and contribute to market development and service delivery excellence.
- Own enterprise data architecture strategy and roadmap for Life Sciences, aligned to business priorities, growth plans, and operational realities (regulated delivery, validation readiness, global data distribution).
- Define and enforce data architecture standards and governance, including data domains, canonical models, data products, quality rules, lineage, and stewardship operating models. Proven ability to apply an architectural framework at enterprise scale.
- Architect and guide data platforms and integrations across package‑based Life Sciences systems and custom solutions, including ERP, LIMS, MES, QMS, CTMS, safety, regulatory content systems, manufacturing, supply, and commercial platforms.
- Define data integration and ingestion patterns, including API‑first, event‑driven, streaming, batch, and hybrid approaches, supporting both operational and analytical workloads.
- Establish enterprise data models and domain‑oriented data products, ensuring consistent definitions of core entities (product, patient, trial, batch, site, customer, supplier) across systems.
- Ensure data governance, privacy, and security are embedded by design, including lineage, auditability, access controls, and compliance with regulated Life Sciences expectations.
- Establish data reliability and observability principles (freshness, completeness, accuracy, latency, resiliency) aligned to Life Sciences operational and regulatory realities.
- Evaluate emerging data and AI technologies (GenAI, advanced analytics, intelligent document processing, knowledge graphs) for fit, feasibility, risk, and operational value in Life Sciences environments.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
- 12+ years of experience in enterprise architecture, data architecture, or technology leadership, ideally within Life Sciences or other regulated, data‑intensive environments.
- Demonstrated experience architecting enterprise data platforms, analytics ecosystems, and AI‑ready data foundations at scale.
- Strong understanding of Life Sciences data domains, data semantics, and cross‑functional data dependencies.
- Deep knowledge of cloud platforms (Azure/AWS/GCP), data platforms, integration architectures, APIs, event‑driven patterns, and modern analytics architectures.
- Experience establishing enterprise data architecture governance, standards, and roadmaps; ability to influence adoption across engineering, data, product, and business teams.
- Hands‑on experience using AI‑enabled tools (e.g., Copilot‑class assistants, AI‑assisted data modeling and analysis) to accelerate architecture definition and delivery.
The base compensation range for this role in the posted location is: $98,497- $255,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
