Director, AI Strategy & Automation Enablement

About SPG

SPG is a specialty insurance holding company focused on acquiring and scaling Managing General Agents (MGAs) and Wholesalers in the E&S and specialty insurance markets. We are building a portfolio of best-in-class operations supported by centralized excellence in innovation data and operational transformation. Our commitment to innovation and operational discipline enables our operating divisions to compete and grow in dynamic markets.

Position Summary

The Director AI Strategy & Automation Enablement is a business leader responsible for defining how artificial intelligence and automation create measurable value across our underwriting sales operations finance and claims functions. This role owns the AI strategy use-case pipeline pilot execution and field adoptionensuring AI investments deliver business results and are embraced by our field teams.

Serving as the primary business owner for AI enablement you will partner closely with Corporate IT on platforms and governance and with Delivery teams on scaling approved initiatives. This role is intentionally positioned upstream of delivery with authority to test prioritize and stop initiatives before enterprise rollout.

This is a strategy enablement and business decision-making role not a software engineering or IT delivery position. Success requires deep understanding of insurance operations hands-on experience operationalizing AI tools and the ability to translate AI capabilities into adoption-ready solutions that field teams embrace and use.

Key Responsibilities

AI Strategy & Roadmap Development

• Define and maintain a 1224-month AI and automation roadmap aligned to enterprise priorities.
• Establish strategic point of view on how AI supports underwriting leverage operational efficiency and scalability across portfolio companies.
• Translate emerging AI capabilities into practical business-ready opportunities.
• Provide executive leadership with regular updates on priorities progress outcomes and ROI.

Use-Case Management & Prioritization

• Lead structured intake process for AI and automation opportunities from underwriting sales operations finance and claims across operating companies.
• Define and apply qualification criteria for AI-ready use cases (business value technical feasibility adoption readiness risk profile)
• Quantify expected benefits including capacity creation cycle-time reduction cost avoidance and scalability impact.
• Own and manage the enterprise AI use-case backlog and prioritization framework.

Field Partnership & Adoption Enablement

• Design and facilitate structured focus groups with field underwriting and operations teams.
• Partner with business leaders across operating companies to validate problem statements pressure-test workflows and identify adoption barriers early.
• Build and maintain an AI Champion Network across the field to drive engagement and change readiness.
• Ensure field feedback directly informs pilot design iteration and scale decisions.

Pilot Design Execution & Decision Authority

• Design execute and evaluate time-boxed AI pilots (typically 3090 days)
• Define pilot success metrics adoption thresholds and clear exit criteria.
• Evaluate pilot results using standardized evaluation framework and make formal recommendations to scale iterate defer or stop initiatives.
• Serve as the decision gate between experimentation and enterprise implementation.
• Apply rigorous assessment across business value technical performance adoption readiness and risk.

AI Evaluation Framework Ownership

• Develop and maintain comprehensive evaluation framework for assessing AI opportunities from intake through scale decision.
• Establish qualification scorecards pilot design standards success criteria and scale/stop decision thresholds.
• Create repeatable methodology for measuring accuracy business impact adoption signals and ROI.
• Define production monitoring standards including accuracy drift detection adoption tracking and value realization measurement.
• Ensure disciplined evidence-based decision-making that protects AI investment and accelerates outcomes.

Enterprise Alignment & Governance

• Partner with Head of AI & Automation (Corporate IT) to align pilots with enterprise strategy approved platforms security standards and governance requirements.
• Collaborate with VP Digital Strategy to ensure alignment with enterprise architecture and data strategy.
• Coordinate with Compliance Legal Risk and IT Security on responsible AI practices.
• Support development of AI usage standards guardrails and human-in-the-loop controls.
• Maintain documentation to support audit and regulatory readiness.

Transition to Delivery

• Partner with VP Delivery & Implementations to transition approved initiatives into operational execution.
• Provide clear business requirements target workflows adoption plans and success metrics to scale implementations.
• Maintain appropriate separation between pilot ownership and large-scale delivery execution.

Required Qualifications

• Bachelors degree in business Insurance Operations Management or related field; MBA or advanced degree preferred.
• 10 years of progressive experience in insurance operations underwriting operations or business transformation
• Demonstrated experience operationalizing AI tools (Claude OpenAI/ChatGPT or similar LLMs) to streamline business processes with measurable results.
• Firsthand experience implementing agentic AI workflow automation or document intelligence solutions in operational environments.
• Experience developing and applying AI evaluation frameworks including:
  • Business case validation (ROI capacity impact cost-benefit analysis)
  • Technical feasibility assessment (data readiness integration complexity accuracy thresholds)
  • Adoption risk evaluation (change impact user experience training requirements)
  • Compliance and risk assessment (regulatory implications bias detection audit requirements)
• Wholesale MGA or E&S insurance experience strongly preferred.
• Proven history leading:
  • Process redesign or operational efficiency initiatives enabled by AI/automation.
  • Automation RPA or digital enablement programs from pilot through adoption
  • Cross-functional change initiatives with measurable results
• Strong facilitation stakeholder management and executive communication skills
• Demonstrated ability to influence senior leaders and field teams without direct authority.
• Practical applied understanding of AI capabilities and limitations:
  • LLM use cases (document summarization data extraction decision support)
  • Agentic AI and workflow automation design
  • Human-in-the-loop controls and quality assurance frameworks
  • Prompt engineering and AI output validation.

Preferred Qualifications

• Experience building or scaling AI-powered solutions using Claude OpenAI API Microsoft Copilot or similar enterprise AI platforms.
• History of moving AI from experimentation to production use with documented adoption and ROI
• Experience partnering with enterprise IT or AI teams in a business leadership capacity.
• Deep exposure to underwriting workflows submission intake clearance policy servicing or claims operations.
• Experience designing and running pilots or proofs of concept with clear scale/stop decision frameworks.
• Understanding of insurance regulatory requirements and compliance frameworks
• Familiarity with AI governance bias detection and responsible AI principles

Salary:

Disclosure required under applicable state or municipality regulations: The expected salary range for this position is $140000 t0 $160000 and will be impacted by factors such as the successful candidates skills experience and working location as well as the specific positions business line scope and level. HUB International is proud to offer comprehensive benefit and total compensation packages which could include health/dental/vision/life/disability insurance FSA HSA and 401(k) accounts paid-time-off benefits and eligible bonuses equity and commissions for some positions.

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HUB International Limited is an equal opportunity employer that does not discriminate on the basis of race/ethnicity national origin religion age color sex sexual orientation gender identity disability or veterans status or any other characteristic protected by local state or federal laws rules or regulations.

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