AI Business Performance & Insights, Senior Analyst

KeyBank is seeking a Performance & Insights Senior Analyst responsible for measuring business performance and providing actionable insights to inform leadership decisions. The role involves connecting performance data with employee sentiment to assess progress and identify opportunities for improvement.

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
• Data Analysis & Insight Generation: Demonstrated ability to combine quantitative data with qualitative insight to inform decisions
• KPI & Performance Framework Design: Experience designing and interpreting KPIs, scorecards, and performance frameworks
• Executive Insight Storytelling: Proven skill in translating data into clear, compelling insights for senior leaders
• Insight‑Driven Thinking: Sees beyond metrics to understand root causes and implications
• Outcome Orientation: Focused on impact, effectiveness, and value—not just measurement
• Analytical & Human‑Centered Approach: Balances data rigor with employee experience and context
• Executive Communication: Distills complexity into clear, decision‑ready insights
• Enablement Mindset: Encourages standards and reuse without becoming a control function
• Continuous Improvement: Constantly looking for better ways to measure, learn, and drive results
• Ambiguity Navigation & Influence: Comfortable working in ambiguity and influencing without authority
• Data Visualization & Analytics Tools: Experience using dashboards, survey platforms, and BI tools
• 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