Strategic Consultant, AI & Operations Transformation

At AmTrust Financial Services, we are expanding our internal strategic consulting capabilities to accelerate execution across enterprise strategic projects, AI, automation, and operations transformation priorities. The Strategic Consultant, AI & Operations Transformation will partner with business, Operations, Claims, Product, IT, Data, and executive stakeholders to define future-state “North Star” visions for priority workflows and strategic initiatives, benchmark AI and automation opportunities against those North Stars, and translate high-priority business objectives into executable plans with measurable outcomes.

This role is designed for a high-performing consultant with prior experience at a management consulting firm who can bring structured problem-solving, process redesign expertise, analytical rigor, and executive-ready communication to complex transformation efforts. The successful candidate will help AmTrust evaluate business initiatives, identify AI and automation opportunities, redesign workflows, define measurement frameworks, and ensure initiatives progress from concept to deployment, adoption, and measurable value realization.

This is an internal management consulting role focused on shaping direction, creating clarity, improving operating models, and enabling execution across high-priority strategic, AI, and operations transformation initiatives.

This position is hybrid out of any AmTrust office. 4 days in the office, 1 day work from home.

• Partner with business and functional leaders to define clear future-state North Stars for priority operational workflows, capabilities, and AI-enabled transformation opportunities.
• Translate strategic objectives into future-state process designs, operating model implications, capability requirements, value drivers, and measurable outcomes.
• Establish clear design principles for AI and automation initiatives, including where work should be automated, augmented, simplified, eliminated, or redesigned.
• Ensure initiative-level recommendations are aligned with enterprise priorities, operational realities, customer outcomes, risk considerations, and long-term scalability.
• Develop executive-ready materials that articulate the current-state challenge, future-state North Star, transformation path, expected benefits, key decisions, and tradeoffs.

• Assess AI and automation initiatives against defined North Stars to determine strategic alignment, completeness, sequencing, scalability, and expected business impact.
• Identify gaps between current initiatives and the desired future-state operating model, including missing capabilities, process dependencies, adoption risks, technology constraints, and measurement gaps.
• Prioritize AI initiatives based on strategic fit, value potential, feasibility, readiness, risk, and contribution to the North Star.
• Develop recommendations on whether initiatives should proceed, pause, pivot, scale, consolidate, or be redesigned.
• Support portfolio-level governance by maintaining a clear view of how individual AI initiatives contribute to broader transformation objectives and measurable business outcomes.

• Evaluate Operations and business-led initiatives to determine whether objectives, scope, deployment plans, owners, dependencies, risks, adoption plans, and success measures are clearly defined.
• Partner with business sponsors to clarify problem statements, desired outcomes, operating model impacts, workflow changes, change-management needs, and implementation milestones.
• Identify gaps in deployment readiness and recommend practical actions to improve execution confidence.
• Support the creation of initiative charters, roadmaps, governance routines, milestone plans, stakeholder communication materials, and executive updates.
• Help ensure initiatives have clear handoffs across business owners, Product Owners, IT delivery teams, analytics teams, and operational leaders.

• Lead current-state workflow assessments to identify inefficiencies, manual work, rework, variation, control gaps, bottlenecks, and opportunities for AI-enabled or automation-enabled redesign.
• Redesign business processes with a clear understanding of how automation, AI, data, workflow tools, and human decision points should interact in the future state.
• Distinguish between processes that should be…