Lead laboratory data strategy, architecture, and migration planning for a complex pharmaceutical transformation.As a Laboratory Data Strategy & Architecture Lead, you will provide strategic and technical guidance for laboratory data across systems and platforms in a regulated pharmaceutical environment. You will own data strategy and roadmaps, guide mapping and conversion planning, and establish governance, quality, and integration requirements in partnership with laboratory, business, and technology stakeholders.
What You'll Work OnAs Laboratory Data Strategy & Architecture Lead, you will:
- Develop and lead laboratory data strategies, roadmaps, mapping approaches, and conversion plans aligned to 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.
What You'll BringYou will likely be successful in this role if you have:
- 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.
How You Work- Take ownership of ambiguous data challenges and translate them into pragmatic strategies, standards, and delivery plans.
- Communicate clearly with scientific, business, and technical stakeholders across a complex client program.
- Balance strategic direction with hands-on analysis and careful attention to data quality, traceability, and delivery risk.
Bonus Points If You Have- 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.
What Success Looks Like- A clear, stakeholder-aligned laboratory data strategy and practical roadmap are established.
- Data ownership, architecture, mapping, conversion, reconciliation, and governance requirements are documented and actionable.
- Migration dependencies and data-quality risks are identified early, with clear remediation and validation approaches.
- Business, laboratory, and technical teams share a consistent understanding of data requirements and handover responsibilities.
Employment Eligibility- This role is a client-facing assignment remote in the United States requiring travel to Philadelphia approximately twice a month. Candidates based in New Jersey or Pennsylvania are preferred.
- Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa now or in the future.
We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity.
In addition to hourly pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc.
Estimated hourly Compensation Range:
$75-$80 USD
