Laboratory Data Strategy & Architecture Lead
About The Position
FormativGroup is seeking a Laboratory Data Strategy & Architecture Lead to provide strategic and technical guidance for laboratory data across systems and platforms in a regulated pharmaceutical environment. The role owns data strategy and roadmaps, guides data mapping and conversion planning, and establishes governance, quality, and integration requirements in partnership with laboratory, business, and technology stakeholders. The Lead will develop laboratory data strategies, roadmaps, mapping approaches, and conversion plans; define reconciliation processes, quality standards, validation rules, and controls; and establish requirements for data ownership, stewardship, governance, metadata, master and reference data, and operational handover. The role also defines laboratory data architecture, data models, integration patterns, interfaces, and cross-platform migration requirements. Working across laboratory systems teams, data architects, business stakeholders, and delivery teams, the Lead identifies dependencies, risks, gaps, and remediation plans. The position provides subject matter guidance on laboratory data structures, workflows, and system transitions, and supports connected analytics, reporting, and cloud data initiatives while aligning practices with applicable regulatory and compliance requirements. This is a client-facing remote assignment in the United States, with travel to Philadelphia approximately twice a month. Candidates based in New Jersey or Pennsylvania are preferred. Applicants must be authorized to work for any U.S. employer; visa sponsorship is unavailable. The estimated hourly compensation range is $95–$105. Employees may also be eligible for discretionary bonuses, commissions, or other incentives and a benefits package.
Requirements
- Extensive experience with laboratory systems and data in pharmaceutical or life sciences environments.
- Demonstrated ownership of laboratory data strategy, roadmaps, data architecture, and cross-system transformation planning.
- Direct experience with data mapping, conversion, migration planning, reconciliation, and data-quality controls.
- Strong knowledge of data governance, stewardship, metadata management, and master/reference data practices.
- Experience defining data models, system interfaces, integration requirements, and migration or validation standards.
- Ability to work directly with business, laboratory, IT, and architecture stakeholders and turn complex requirements into actionable plans.
- Working familiarity with cloud data platforms, analytics, and enterprise reporting environments.
- Authorization to work for any employer in the United States; the employer cannot sponsor or take over sponsorship of a work visa.
Nice To Haves
- Experience supporting large-scale laboratory system transformation or pharmaceutical data modernization programs.
- Familiarity with GxP requirements and regulated laboratory data practices.
- Experience with Laboratory Information Management Systems (LIMS), scientific data management, or cloud migration initiatives.
- Candidates based in New Jersey or Pennsylvania are preferred.
Responsibilities
- Develop and lead laboratory data strategies, roadmaps, mapping approaches, and conversion plans aligned with business and technology objectives.
- Define data reconciliation processes, quality standards, validation rules, and controls to support accurate and complete data migration.
- Establish data ownership, stewardship, governance, metadata, master/reference data, and operational handover requirements.
- Define laboratory data architecture, data models, integration patterns, interfaces, and cross-platform migration requirements.
- Partner with laboratory systems teams, data architects, business stakeholders, and delivery teams to identify dependencies, risks, gaps, and remediation plans.
- Provide subject matter guidance on laboratory data structures, workflows, and system transitions in regulated pharmaceutical environments.
- Support connected analytics, reporting, and cloud data initiatives while aligning practices with applicable regulatory and compliance requirements.
- Translate ambiguous data challenges into pragmatic strategies, standards, and delivery plans.
- Communicate with scientific, business, and technical stakeholders and balance strategic direction with hands-on analysis and attention to data quality, traceability, and delivery risk.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Paid time off
- Potential eligibility for discretionary bonuses, commissions, or other incentive programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
