AI & Data AVP, Manufacturing (Life Sciences/Pharma)

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting‑edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission‑critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for:

• 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.

  The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Throughout the health ecosystem, you'll find courageous and inspiring people who are committed to driving transformation, advancing health equity, and leading a well‑being revolution. Where you find innovators committed to sustainable progress, you'll find Deloitte's Life Sciences & Health Care practice. Our leaders work side‑by‑side to orchestrate and deliver on the business of science and health. We bring trusted, flexible approaches that foster innovation, harness new technologies, and formulate consumer‑driven strategies to engineer a digitally enabled, equitable future of health - starting today.

Across life sciences you'll find innovators who are developing therapies, treatments, devices, and cures to meet society's most pressing health challenges and deliver wellness for all. Alongside them, you'll find our leaders, the professionals of Deloitte's Life Sciences practice, who are orchestrating and delivering the business of science and health. We help drive impact through deep industry experience and insights; transformative strategies; trusted, flexible approaches; and new technologies. We help accelerate action and create connections that empower a digitally enabled, equitable future of health

Qualifications

Required

• 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 Manufacturing Execution Systems (MES), Quality Management Systems (QMS), Laboratory Information Management Systems (LIMS), Enterprise Resource Planning (ERP), or Product Lifecycle Management (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 that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.

Preferred

• Experience with Industry 4.0, smart factory, digital plant, connected operations, or AI‑enabled quality initiatives
• Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Experience leading executive presentations and client workshops for technical and non‑technical audiences
• Experience developing proposals or solution materials for data and analytics professional services engagements
• Experience creating client‑facing materials for workshops and interactive sessions
• Advanced degree in Computer Science, Engineering, Data Science, or Artificial Intelligence

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.