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

AI & Data Solutions Associate Vice President

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.

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

• Leading AI & Data engagements focused on manufacturing, quality, and digital operations transformation for Life Sciences / Pharma clients.
• Shaping and delivering use cases such as process visibility, exception management, predictive insights, AI-assisted quality analytics, intelligent automation, and connected operations.
• Translating manufacturing and quality business needs into scalable AI, data, and digital solution designs.
• Working across business, product, architecture, engineering, and client teams to support implementation and adoption.
• Helping clients connect process transformation with enabling systems, data foundations, and value realization.
• Supporting broader AI & Data pursuits and delivery efforts beyond manufacturing and quality when needed.
• Leading engagement planning, budgeting, staffing, and team mobilization for data and AI initiatives.
• Defining deliverable structure and content; managing quality, timelines, economics, and engagement risk.
• Managing day-to-day interactions with executive clients and sponsors and facilitating buy-in for proposed solutions.
• Leading business development activities, including client relationship development, pursuit leadership, proposal development, and pricing strategy input.
• Coaching and developing practitioners through counseling, staffing input, recruitment, retention, and delivery team leadership.
• Leading workshops, executive presentations, and stakeholder sessions.
• Mentoring junior practitioners and contributing to practice, offering, and go-to-market development.

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.

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.

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.

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. 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.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at View email address on click.appcast.io.