Strategic Consultant, AI & Operations Transformation

AmTrust Financial Services, Inc.•Boca Raton, FL

4d•Hybrid

About The Position

AmTrust Financial Services is expanding its internal strategic consulting capabilities to accelerate enterprise strategic projects, AI, automation, and operations transformation. The Strategic Consultant partners with business, Operations, Claims, Product, IT, Data, and executive stakeholders to define future-state “North Star” visions for priority workflows and initiatives, assess AI and automation opportunities against those visions, and turn business objectives into executable plans with measurable outcomes. This internal management consulting role applies structured problem-solving, process redesign, analytical rigor, and executive-ready communication to complex transformation efforts. The consultant evaluates business initiatives, identifies AI and automation opportunities, redesigns workflows, defines measurement frameworks, and supports initiatives through deployment, adoption, and value realization. The position is hybrid from an AmTrust office, with four days in the office and one day working from home.

Requirements

3–5 years of experience at a top-tier management consulting firm, Big 4 advisory practice, or specialized transformation consulting firm.
Experience redesigning business processes in an automation, AI, digital transformation, or technology-enabled operating model context.
Ability to use structured problem-solving to frame ambiguous business problems, conduct current-state assessments, identify root causes, and develop actionable recommendations.
Experience assessing workflows, identifying improvement opportunities, and translating process redesign into practical implementation requirements.
Experience developing future-state operating models, capability maps, initiative roadmaps, transformation plans, or strategic recommendations.
Experience defining KPIs, baselines, success measures, value drivers, or benefits-realization frameworks.
Experience working with senior stakeholders and cross-functional teams across business, operations, product, technology, data, or analytics.
Strong analytical skills, including synthesizing data, identifying patterns, quantifying impact, and communicating insights.
Strong executive communication skills, including presentation development, written synthesis, senior-level storytelling, and clear articulation of tradeoffs and recommendations.
Ability to manage multiple initiatives simultaneously in a fast-paced, matrixed environment.
Structured problem-solving and hypothesis-driven analysis.
Ability to create clarity in ambiguous, fast-moving environments.
Strong process redesign capability, particularly in automation-enabled or AI-enabled contexts.
Ability to define future-state North Stars and translate them into practical execution roadmaps.
Ability to benchmark initiatives against strategic objectives, target-state workflows, and measurable business outcomes.
Strong business and technology translation skills.
Executive-ready communication and presentation development.
Analytical rigor and comfort with operational, financial, and performance data.
Strong stakeholder management and cross-functional influence.
Practical execution orientation focused on deployment, adoption, and measurable value realization.
High degree of adaptability, ownership, judgment, and follow-through.

Responsibilities

Partner with business and functional leaders to define future-state North Stars for priority 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 design principles for AI and automation initiatives, including where work should be automated, augmented, simplified, eliminated, or redesigned.
Align recommendations with enterprise priorities, operational realities, customer outcomes, risk considerations, and long-term scalability.
Develop executive-ready materials describing current-state challenges, future-state North Stars, transformation paths, expected benefits, decisions, and tradeoffs.
Assess AI and automation initiatives for strategic alignment, completeness, sequencing, scalability, and expected business impact.
Identify gaps between current initiatives and the desired future-state operating model, including missing capabilities, 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.
Recommend whether initiatives should proceed, pause, pivot, scale, consolidate, or be redesigned.
Support portfolio governance by tracking how individual AI initiatives contribute to broader transformation objectives and measurable outcomes.
Evaluate Operations and business-led initiatives for clearly defined objectives, scope, deployment plans, owners, dependencies, risks, adoption plans, and success measures.
Partner with business sponsors to clarify problem statements, desired outcomes, operating model impacts, workflow changes, change-management needs, and implementation milestones.
Identify deployment-readiness gaps and recommend practical actions to improve execution confidence.
Support the creation of initiative charters, roadmaps, governance routines, milestone plans, stakeholder communications, and executive updates.
Help establish 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 AI or automation opportunities.
Redesign processes to define how automation, AI, data, workflow tools, and human decision points should interact in the future state.
Determine whether processes can be automated as-is or should be redesigned before automation.
Develop future-state process flows, business rules, exception paths, control considerations, role impacts, and operational handoff requirements.
Partner with Product, IT, Data, and operational stakeholders to translate redesigned workflows into business, product, and technical requirements.
Develop measurement frameworks to quantify the business impact of AI, automation, and transformation initiatives.
Define KPIs, baseline metrics, target outcomes, benefit assumptions, value drivers, and tracking mechanisms with business and analytics teams.
Support financial and operational impact sizing across productivity, cycle time, quality, service, leakage reduction, control improvement, cost reduction, and customer experience.
Create executive-ready reporting on progress, risks, outcomes, and decisions needed.
Monitor post-deployment performance and assess whether initiatives are delivering intended value relative to the North Star.
Track products, pilots, deployments, dependencies, business outcomes, initiative status, decisions, risks, blockers, milestones, and value realization progress across the AI portfolio.
Facilitate working sessions with business and technical teams to drive alignment, resolve issues, and establish next-step accountability.
Build partnerships with business leaders, operational managers, Product Owners, IT teams, developers, analytics teams, and executive stakeholders.
Communicate complex business, operational, and technical topics in a simple, structured, executive-ready manner.
Surface risks, tradeoffs, open questions, and recommended decisions proactively.
Serve as an independent, practical, collaborative, and execution-oriented internal consultant.