Director, AI and Emerging Technology

Posted Yesterday
2 Locations
In-Office or Remote
188K-314K Annually
Expert/Leader
Information Technology • Consulting
The Role
Leads AF Group’s AI and emerging technology strategy, translating business priorities into prioritized use cases, business cases, roadmaps, and measurable outcomes. Directs cross-functional delivery from experimentation through production adoption, coordinating security, platform, application, data, and Center of Excellence partners. Evaluates generative AI, machine learning, and automation technologies; manages budgets, resources, change management, operational readiness, adoption, and value realization. Supervises employees and develops organizational AI capabilities.
Summary Generated by Built In

SUMMARY

Responsible for translating AF Group’s business strategy into AI and emerging technology execution that delivers measurable business value. Partners with business leaders to define opportunities, build business cases, prioritize use cases, and develop an execution roadmap from evaluation through production adoption. Leads cross-functional delivery in close partnership with Information Security, Platform, Application, and Data teams and the Center of Excellence (CoE). Engages heavily with the CoE and governance partners to apply established capabilities, standards, and responsible AI requirements; does not own governance functions, but does lead and facilitate CoE operations. Provides strategic leadership, manages delivery resources and budgets, and develops leaders and team members to advance adoption, execution excellence, and value realization.   

 

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. 

  • Translate business strategy and operational needs into AI and emerging technology opportunities, business cases, and measurable outcomes in partnership with business leaders. 

  • Evaluate AI and emerging technologies, including generative AI, machine learning, and intelligent automation, for business fit, maturity, scalability, cost, and risk. Lead focused proofs of value and recommend whether to scale, refine, or discontinue initiatives. 

  • Lead cross-functional execution with Information Security, Platform, Application, and Data teams, engaging partners early to align security requirements, architecture, infrastructure, application integration, and data needs. 

  • Coordinate delivery from discovery and experimentation through production deployment with technical teams. Establish release readiness, support handoffs, and ongoing performance monitoring with delivery and operational owners. 

  • Identify and prioritize use cases based on strategic alignment, expected value, feasibility, data readiness, risk, and delivery capacity. Establish success measures and an execution roadmap with clear milestones, dependencies, and accountable partners. 

  • Partner with business owners and Learning and Development to redesign workflows, support training and change management, and drive adoption of AI-enabled solutions. Track adoption and business results against agreed success measures. 

  • Facilitates and leads cross-functional AI CoE and partners with governance and business partners to leverage reusable capabilities, implementation patterns, and approved standards. Incorporate required reviews and responsible AI controls into delivery without assuming ownership of governance functions or CoE operations. 

  

EDUCATION AND EXPERIENCE   

  • Bachelor's degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science, Operations Research or related field is required. Master's degree or PhD in related field is preferred. 

  • Minimum nine (9) years of related work experience is required, including experience translating business priorities into technology execution, leading cross-functional delivery, and implementing AI or related emerging technology solutions. 

  • Previous experience working in the P&C Insurance industry is preferred. 
     

QUALIFICATIONS 

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

 

OTHER SKILLS AND ABILITIES  

  • Advanced communication skills, including the ability to explain AI opportunities, limitations, delivery trade-offs, and business outcomes to executive, business, and technical audiences. 

  • Advanced relationship-building skills, with the ability to partner effectively with Information Security, Platform, Application, and Data teams, the CoE, and governance stakeholders. 

  • Advanced influence and negotiation skills to align stakeholders on priorities, decisions, resources, and shared delivery commitments. 

  • Advanced change management skills to support workflow transformation, workforce readiness, production adoption, and sustained use of AI-enabled solutions. 

  • Advanced strategy development skills, including business case development, use-case prioritization, execution roadmaps, and value measurement. 

  • Expert execution skills, including leading cross-functional initiatives from experimentation through production and coordinating operational readiness and support. 

  • Expert problem-solving skills and sound judgment in evaluating AI and emerging technologies, assessing risks and trade-offs, and selecting practical solutions. 

  • Working knowledge of generative AI and machine learning solution lifecycles, evaluation methods, data quality, application integration, and production monitoring. Familiarity with Python, SQL, relational databases, ETL, and DevOps/MLOps practices is preferred. 

  • Working knowledge of cloud platforms, AI services, and scalable solution architectures, with the ability to apply established security, privacy, and responsible AI requirements in partnership with designated owners. 

  • Advanced project and portfolio management skills, including roadmap planning, dependency management, budgeting, delivery risk management, and benefits realization. 

 

SUPERVISORY RESPONSIBILITIES  

Directly supervises a varied number of employees in the designated department(s). Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring and training employees; planning, assigning and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. 

 

ADDITIONAL INFORMATION  

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. This job description does not constitute a contract for employment. 

PAY RANGE:

“Actual compensation decision relies on the consideration of internal equity, candidate’s skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $187,660 and $314,325.”

We are an Equal Opportunity Employer. We will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will" basis.  Nothing herein is intended to create a contract.

 


About the TeamAccident Fund Insurance Company of America

Skills Required

  • Bachelor’s degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science, Operations Research, or a related field
  • At least 9 years of related work experience
  • Experience translating business priorities into technology execution
  • Experience leading cross-functional delivery
  • Experience implementing AI or related emerging technology solutions
  • Master’s degree or PhD in a related field
  • Previous experience in the property and casualty insurance industry
  • Working knowledge of generative AI and machine learning solution lifecycles, evaluation methods, data quality, application integration, and production monitoring
  • Familiarity with Python, SQL, relational databases, ETL, and DevOps or MLOps practices
  • Working knowledge of cloud platforms, AI services, and scalable solution architectures
  • Advanced project and portfolio management skills
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The Company
HQ: Lansing, MI
483 Employees

What We Do

Emergent Holdings’ elite team makes lives, companies and communities better! Emergent Holdings is driven by a singular goal — improving the health and safety of our customers and our communities. How do we do that? We create innovative insurance products, technology solutions and services to support our key stakeholders — individuals, employers, providers and strategic partners — improving the health and safety of the people and places we serve. At Emergent Holdings, we’re inspired to create, to challenge the status quo, to think not just about what our customers need now, but what they will need in the future. We are strategic thinkers. We are industry innovators. We are market trendsetters. Together, we are Emergent Holdings. Our diverse team of established industry experts embraces a culture of innovation and entrepreneurial spirit. That means we’re focused on innovation, on leading and shaping our markets and improving health and safety for our customers and communities. For our customers, the result is a suite of solutions, services and products delivered ahead of market needs — and in anticipation of member demands. We are tireless in our pursuit of the exceptional, and our companies deliver optimal customer experiences and improve people’s lives every day, by making workplaces safer and delivering affordable, solutions-focused healthcare services.

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