Partnering with AI and ML engineering leaders to manage versioning, iteration planning, and solution delivery, creating transparency for business stakeholders and proactively mitigating delivery issues • Building productive relationships with key business stakeholders to help them co-own the AI solutions, enabling the business to provide feedback and guidance all stages of development • Bringing business expertise and focus on value capture to AI problem-solving during development, helping the team to maximize impact and minimize unnecessary complexity • Augmenting our business stakeholders’ teams with AI and change management expertise, helping them to realize maximum value from AI solutions 3/ Advancing our innovative operating model for AI teams • Leading in interactions with AI and ML engineering teams to develop and codify more effective ways to AI and strategy teams to collaborate • Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements. • Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale • Develop and maintain three synchronized roadmaps: stakeholder engagement & adoption, use case portfolio, and technical capabilities/platform evolution • Conducting peer training and authoring thought leadership along with other members of the team to augment the full team’s skills • Developing new delivery frameworks and helping the team build new service offerings All about you • Years using data and AI to solve complex business problems and drive measurable impact in large, regulated environments.