AI Business Performance & Insights, Senior Analyst

KeyBank is a national association focused on providing financial services. They are seeking a Senior Analyst in Business Performance & Insights to measure business performance and provide actionable insights that inform leadership decisions and improve effectiveness.

Responsibilities:

• Define, govern and maintain performance frameworks that measure progress against strategic goals, commitments, and expected outcomes, ensuring consistency, comparability and credibility across business areas
• Establish and manage KPIs, success metrics, and scorecards that reflect outcomes and effectiveness—not just activity
• Assess performance trends, gaps, and risks, clearly articulating what is working, what is not, and why
• Synthesize quantitative data (metrics, dashboards, operational performance) with qualitative inputs (employee feedback, sentiment, observations) to deliver holistic insights
• Identify leading and lagging indicators that predict performance outcomes and business impact
• Translate complex data into clear, executive‑ready narratives that inform decision making
• Design and manage feedback mechanisms (surveys, pulse checks, listening posts, qualitative interviews) to capture employee sentiment and experience
• Analyze themes, patterns, and sentiment trends to understand engagement, friction points, and change readiness
• Partner with leaders to close feedback loops—ensuring insights result in visible action and measurable improvement
• Evaluate the effectiveness of initiatives, operating models, and ways of working against intended outcomes
• Identify opportunities to improve performance, adoption, efficiency, and value realization
• Support experimentation and continuous improvement by defining success criteria and measuring impact over time
• Serve as a connector between AI enablement, analytics, data governance, and business teams to ensure AI insights are scalable, governed, and reusable
• Support the transition from AI experimentation to production‑ready, business‑aligned capabilities by reinforcing standards, expectations, and performance implications
• Encourage use of governed, standardized data assets to support AI models and automation—highlighting where unmanaged data limits scale or increases risk
• Influence data and insight standards to ensure performance intelligence is production-ready, auditable and fit for AI-driven decision support
• Use performance and adoption insights to surface AI‑related governance gaps, duplication, or unmanaged experimentation that create risk or inefficiency
• Act as a trusted advisor to business and functional leaders, providing objective insight and data‑driven recommendations
• Influence prioritization and decision making by grounding discussions in evidence, outcomes, and trade‑offs
• Collaborate across teams (analytics, operations, change, communications) to align insights, performance narratives, and adoption strategies

Requirements:

• 5 years of experience in business performance measurement, analytics, or insights‑driven roles
• Demonstrated ability to combine quantitative data with qualitative insight to inform decisions
• Experience designing and interpreting KPIs, scorecards, and performance frameworks
• Proven skill in translating data into clear, compelling insights for senior leaders
• Experience using data visualization and analytics tools (e.g., dashboards, survey platforms, BI tools)
• Insight‑driven: Sees beyond metrics to understand root causes and implications
• Outcome‑oriented: Focused on impact, effectiveness, and value—not just measurement
• Analytical & human‑centered: Balances data rigor with employee experience and context
• Executive communicator: Distills complexity into clear, decision‑ready insights
• Enablement‑minded: Encourages standards and reuse without becoming a control function
• Continuous improver: Constantly looking for better ways to measure, learn, and drive results
• Comfort working in ambiguity and influencing without authority
• Background in digital, product, operations, or strategy environments
• Experience with employee engagement, sentiment analysis, or organizational effectiveness
• Experience with change management, adoption measurement, or transformation initiatives