Senior Consultant – Product Quality & Safety – Life Sciences & Healthcare

This role focuses on Product Quality & Safety within the Life Sciences & Healthcare sector, specifically within Deloitte's Enterprise Operations & Risk offering. The Senior Consultant will support clients in regulatory affairs and quality assurance strategy, operating model, process, and governance improvements. Responsibilities include conducting due diligence for M&A, assessing and remediating quality management system gaps, supporting inspection readiness, and helping design/implement RA/QA technology enablement. A key requirement is experience in the application of artificial intelligence (AI) tools and techniques to deliver measurable business outcomes, such as automation, analytics, and decision support, within a regulated healthcare context.

What you'd actually do

  1. Support clients in pharmaceutical and medical device Regulatory Affairs and Quality Assurance strategy, operating model, process, and governance improvements
  2. Conduct quality and regulatory due diligence for mergers & acquisitions (M&A), including risk identification, evidence requests, and diligence readouts (e.g., compliance history, inspection readiness, quality system maturity)
  3. Assess and remediate quality management system (QMS) and regulatory compliance gaps (e.g., SOPs, training, deviation management, corrective and preventive actions (CAPA), change control, complaints)
  4. Help design and implement RA/QA technology enablement, including requirements definition, vendor selection support, process design, testing/validation coordination, and deployment/adoption planning
  5. Support implementation and optimization of systems such as electronic QMS (eQMS), document management systems (DMS), learning management systems (LMS), complaint handling, CAPA, change control, audit management, supplier quality, and regulatory information management (RIM) platforms

Skills

Required

  • Bachelor's degree
  • 5+ years of experience with a focus on Life Sciences in a Consulting or Industry role
  • Experience in the application of artificial intelligence (AI) tools and techniques to deliver measurable business outcomes (e.g., automation, analytics, decision support)
  • Experience in pharmaceutical QA/RA (e.g., Good Manufacturing Practice (GMP), quality systems, compliance remediation)
  • Experience in medical device QA/RA (e.g., design controls, risk management, post-market processes)
  • Working knowledge of common regulatory/quality expectations and frameworks applicable to pharma and devices
  • Experience translating regulatory/quality requirements into operational processes, controls, and measurable performance metrics
  • Experience supporting M&A due diligence focused on QA/RA (planning, data room requests, interviews, risk rating, and diligence reporting)
  • Experience supporting separation and integration for QA/RA functions (process and system disentanglement, integration design, governance, TSA planning, and cutover execution)
  • Ability to identify and quantify quality/regulatory risks that impact deal value (e.g., remediation cost, timeline, supply risk, launch/approval risk)
  • Experience implementing or optimizing quality and regulatory systems, including requirements gathering, future-state process design, validation approach coordination, testing, training, and go-live support
  • Familiarity with eQMS and RIM capabilities such as document control, training, deviations, CAPA, change control, audits, complaints, supplier quality, and submission/product registration data management
  • Experience with data and reporting for QA/RA (e.g., dashboards, KPIs, traceability, audit trails), including adoption and sustainment planning
  • Experience in Project Management
  • Experience working in a mandated deadline environment and ability to work effectively on multiple client assignments
  • High accuracy rate and attention to detail
  • Experience leading/mentoring a cross functional team of government program consultants

What the JD emphasized

  • Experience in the application of artificial intelligence (AI) tools and techniques to deliver measurable business outcomes
  • Experience in pharmaceutical QA/RA
  • Experience in medical device QA/RA
  • Experience supporting M&A due diligence focused on QA/RA
  • Experience supporting separation and integration for QA/RA functions
  • Experience implementing or optimizing quality and regulatory systems