AVP, AI & Data for Life Sciences Manufacturing

Deloitte France

Seattle (WA)

On-site

USD 172,000 - 338,000

Full time

6 days ago

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Benefits offered by this job

Discretionary annual incentive

Job summary

Deloitte invites an Associate Vice President, AI and Data Solutions to lead manufacturing, quality and digital operations transformation for Life Sciences/Pharma clients. You will translate business needs into scalable AI, data, and digital solutions while guiding cross‑functional teams across product, architecture, and engineering.

Responsibilities include engagement planning, budgeting, staffing, client workshops, and senior‑level presentations.

Qualifications

8+ years of experience in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation.
6+ years of experience in Life Sciences or pharmaceutical manufacturing, quality, or operational transformation projects.
6+ years of experience with MES, QMS, LIMS, ERP, or PLM platforms.
4+ years of experience leading, managing, and delivering complex technology engagements.
Bachelor's degree in Computer Science, Engineering, Data Science, or Artificial Intelligence.
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
The wage range for this role takes into account the wide range of factors ... A reasonable estimate of the current range is $171,600 to $338,300.

Responsibilities

Lead AI & Data engagements focused on manufacturing, quality, and digital operations transformation for Life Sciences / Pharma clients.
Shape and deliver use cases such as process visibility, exception management, predictive insights, AI‑assisted quality analytics, intelligent automation, and connected operations.
Translate manufacturing and quality business needs into scalable AI, data, and digital solution designs.
Work across business, product, architecture, engineering, and client teams to support implementation and adoption.
Help clients connect process transformation with enabling systems, data foundations, and value realization.
Support broader AI & Data pursuits and delivery efforts beyond manufacturing and quality when needed.
Lead engagement planning, budgeting, staffing, and team mobilization for data and AI initiatives
Define deliverable structure and content; manage quality, timelines, economics, and engagement risk
Manage day‑to‑day interactions with executive clients and sponsors and facilitate buy‑in for proposed solutions
Lead business development activities, including client relationship development, pursuit leadership, proposal development, and pricing strategy input
Coach and develop practitioners through counseling, staffing input, recruitment, retention, and delivery team leadership
Lead workshops, executive presentations, and stakeholder sessions.
Mentor junior practitioners and contribute to practice, offering, and go‑to‑market development.