Manager II, Business Analytics (Data & AI Engagement)

Navy Federal•Pensacola, FL

2d•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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 in day‑to‑day work
Master’s degree in a related field

Responsibilities

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