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

About the role

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.

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.
• 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.

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 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.