Manager II, Business Analytics (Data & AI Engagement)

The Manager II, Data & AI Engagement (Activation) owns the enterprise Data & AI engagement strategy, focused on business enablement by driving usage and adoption of tools and capabilities. This role operates horizontally across business units, technology, and product, to ensure the organization is ready, informed, and equipped to effectively use data and AI at scale. This manager provides direction in a fast‑evolving and ambiguous Data & AI environment, shaping how capabilities are introduced, understood, and embedded into daily work. Success is measured by readiness, adoption depth, and engagement effectiveness. This leader is curious, outcomes oriented, and culture driven, bringing a fresh lens, raising standards, and helping the organization evolve and build momentum during a pivotal period for data and AI.

• Prepare the organization for Data and AI capabilities as they come online by shaping engagement and readiness activities

• Guide where engagement efforts should be prioritized based on adoption patterns, readiness signals, and enterprise needs

• Design and lead enterprise enablement efforts, including enterprise-wide events, that help employees understand how to use data, analytics, and AI capabilities in their daily work

• Coordinate enablement activities across communications, learning, and engagement efforts to reinforce adoption and effective use

• Partner with business units to understand underutilization and adoption challenges and inform targeted enablement actions

• Monitor and use engagement and adoption metrics to identify readiness gaps, usage depth, and areas where adoption is not occurring

• Identify and communicate patterns, gaps, friction points, and unmet needs related to the use of tools and capabilities

• Synthesize qualitative and quantitative information to generate insights related to adoption and engagement

• Advise leaders on engagement considerations and adoption readiness

• Support enterprise storytelling that highlights impact, lessons learned, and momentum across data and AI initiatives

• Ensure alignment between engagement efforts, enterprise priorities, and evolving capability roadmaps

• Lead and develop the Data and AI engagement team with a strong emphasis on accountability, growth, and performance

• Modernize team skills, operating model, and ways of working to support enterprise scale engagement

• Experience in the banking or financial services industry, with a strong understanding of industry trends, products, services, and large-scale enterprise environments
• Advanced experience supporting business transformation, technology adoption, digital journeys, customer experience, or related organizational change initiatives
• Demonstrated ability to translate complex technology concepts into clear, human-centered messages that drive understanding and adoption
• Excellent written and verbal communication skills, with advanced experience creating high-quality deliverables for both executive and user audiences (including presentations and enablement content)
• Advanced change management skills, including the ability to influence others, set priorities, and operate effectively in environments of constant change
• Proven ability to independently plan, organize, and lead large, complex efforts from concept through execution
• Advanced skill in building alignment, consensus, and trust across diverse stakeholder groups, from junior team members to senior executives
• Strong relationship management skills across multiple business and technology functions, including senior business stakeholders, product owners, journey leads, goal owners, and technical partners
• Experience working within large-scale IT and/or financial services organizations supporting technology-enabled business transformation (e.g., digital platforms, cloud-native solutions, enterprise processes)
• Curiosity and enthusiasm for AI, analytics, automation, digital tools, and continuous learning, with exposure to emerging technologies preferred
• Proven to bring a highly collaborative, results‑driven approach and thrive in fast‑paced, evolving environments
• Bachelor's degree in Business, Analytics, Communications, Information Technology, Computer Science, or a related field, or an equivalent combination of education and experience 

Desired Qualifications

• Experience supporting Data and AI enablement, analytics adoption, or emerging technology activation efforts

• Experience working alongside analytics, data, technology, or platform teams without owning solution delivery

• Exposure to AI, analytics, automation, or digital tools, with a practical interest in how they are used