• 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

• Conducting onsite visits with customers to observe workflows, build relationships, and identify where digital workforce solutions can create the most impact • Driving product adoption within newly onboarded accounts by coaching customer teams and embedding new workflows into their day-to-day operations • Monitoring account health and product utilization across your book and proactively reaching out to accounts that need support • Identifying and developing internal champions within accounts who can drive adoption from the inside • Introducing digital workforce capabilities to new stakeholders and teams within existing accounts to expand usage • Maintaining accurate account records, activity logs, and next steps in Salesforce after every customer interaction • Documenting and sharing customer success stories to support broader team enablement and reporting

• Drive the integration of AI into product development lifecycle • Build and scale AI-powered solutions improving workflows • Collaborate closely with Product, Engineering, and leadership • Identify high-impact opportunities and prototype solutions • Drive adoption of AI-enabled ways of working

• Translate employee and manager workflows into tangible product opportunities • Build and test working prototypes (e.g., agent-based flows, lightweight applications, embedded LLM tools) independently or with light engineering support • Define requirements for integrations across HR and enterprise systems (e.g., HCM, recruiting, survey, knowledge, planning tools) • Lead stakeholder discovery sessions to uncover automation and AI opportunities • Evaluate third-party AI tools and determine build vs. buy pathways • Design and launch rapid pilots across areas such as decision support, communications, knowledge management, and workforce planning • Define success metrics, measure impact, and create feedback loops for iteration • Translate complex AI capabilities into clear, actionable narratives for business stakeholders • Partner with Legal and Information Security to ensure solutions align with privacy, security, and ethical standards • Contribute to evolving long-term AI strategy within employee technology ecosystems