AI & Data AVP, Financial Services-Insurance

Job Summary

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 for our Financial Services - Insurance industry clients
• Translate business problems into scalable AI, data, and digital solutions
• Work across strategy, product, data, engineering, and client stakeholder groups to define solution approach and delivery plans
• Advises clients on operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled transformation
• Support broader AI & Data pursuits and engagements beyond Insurance 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
• Counsel and develop practitioners through coaching, 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

• 10+ years of experience in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation
• 8+ years of experience with large-scale cloud-enabled Financial Services-Insurance industry AI and data projects
• 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 Qualifications

• 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