Director, AI and Automation

Role Overview

• Develop and implement strategies for leveraging Generative AI, Agentic AI, and Robotic Process Automation to automate workflows, tasks, or decisions that increase operational efficiency and effectiveness.
• Serve as a subject matter expert, engaging with business leaders, architecting scalable solutions and driving informed decisions across the organization
• Design, implement, and maintain an MVB AI and Automation Playbook that serves as the guidelines for onboarding and maintaining AI and Automation technologies at MVB.
• Work with the BTO, Stakeholders and technical leads to translate business goals into technical solutions
• Define and provide oversight to AI/ML/RPA best practices and lifecycle, including model training, maintenance, and optimization
• Establish key metrics for monitoring the effectiveness, safety, and efficacy of AI/ML technologies at MVB
• Responsible for the AI Governance Framework, working closely with Data Governance and Information security to ensure the appropriate policies, controls, and oversight are in place and effective
• Develop and evolve AI and emerging technology training for end users
• Foster a culture of engagement and continuous learning within the MVB end user community
• Manage AI and Automation vendor relationships and ensure compliance to all agreements with MVB.
• Analyze performance metrics to evaluate the effectiveness of AI and automation initiatives and identify areas for continuous improvement
• Design and lead Pilots and POCs, operational tests, and monitored deployments of automation technologies (AI, RPA,etc) to strengthen business case assumptions and optimize for scalability
• Analyze process automation requirements and design RPA solutions, architecture, and logic in collaboration with the Business Transformation Office

Requirements

• Bachelor's degree in a related field such as AI, Data Science, information systems, statistics, or another related field
• Master's degree in a related field such as an MBA, MS or PHD in AI, MS in Data Science, MS in Information Systems, or MS in Data Analytics preferred but not required.
• Minimum of –10+ years of experience in data science, machine learning, data analytics, predictive analytics, another relevant field
• Experience leading teams of data analysts, data engineers, developers, or other related professionals
• Experience developing and implementing AI and automation (RPA, etc.)
• Experience with AI and automation technologies.
• Experience working with enterprise-level systems and other large-scale data platforms.
• Strong leadership and team management skills.
• Excellent communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills.
• Familiarity with data quality and data security best practices.
• Knowledge of relevant laws and regulations related to AI governance
• Must have a combination of technical expertise, leadership skills, and business acumen to effectively manage an organization's AI and Automation programs.
• Experience with project management methodologies and tools.
• Relevant professional certifications may be preferred or required.

Tech Stack

• RPA

Benefits

• Medical, Dental and Vision Insurance
• Health Savings Account (HSA), Health Reimbursement Account (HRA) & Flexible Spending Accounts (FSA)
• Short
• and Long-Term Disability Plan
• Group Life Insurance
• 401K Salary Deferral Plan
• Wellness Program
• Education & Tuition Expense Reimbursement
• PTO and Unique Vacation Purchase Program
• Nationwide Pet Insurance Coverage