Vice President, Bank Revenue Strategy & Performance Greater Fort Worth, TX Area

How will this role impact First Command?

The Vice President (VP), Bank Revenue Strategy & Performance is a key partner to the Bank’s Chief Revenue Officer (CRO), responsible for ingesting and synthesizing data and insights from external resources and enterprise partners to inform the Bank’s revenue strategy. Drawing on market and competitive intelligence, industry benchmarks, and enterprise data, analytics, client experience (CX), and financial results, this role analyzes performance to identify the key trends, performance indicators, and revenue opportunities that matter most. By translating that analysis into clear, decision-ready insights, the role equips Bank leadership to make informed, strategic decisions that accelerate growth in client acquisition, relationship expansion, deposits, lending, and product performance.

What will the employee do in this role?

Strategic Advisory & Executive Decision Support

• Serve as a strategic collaboration partner to the CRO on revenue strategy, growth opportunities, and performance, providing the insight needed to inform key business decisions.
• Ingest and synthesize insights from external resources (market research, industry and peer benchmarks, competitive intelligence, and economic trends) and enterprise partners (Enterprise Data and Analytics, CX, Finance, Product, Marketing, and Innovation) into concise executive perspectives.
• Translate analysis into action by framing clear options, trade-offs, and recommended next steps for the CRO and Bank leadership.

Revenue Performance Insights

• Analyze Bank growth scorecard results, using enterprise-standard metrics and definitions maintained by Enterprise Data and Analytics, to identify the key performance indicators driving revenue outcomes
• Identify the key performance indicators and insight needs for Bank dashboards, partnering with the enterprise business intelligence (BI) teams that build and maintain them.
• Monitor and interpret performance against strategic objectives related to client growth, deposits, loans, payments, fee income, and product penetration.
• Evaluate the results of growth initiatives and communicate realized value and lessons learned to the CRO and Bank leadership.

Growth Forecasting & Scenario Development

• Develop Bank growth scenarios that build on Finance-owned financial actuals and forecasts and incorporate external market and economic factors.
• Model the potential impact of growth initiatives, pricing changes, and market conditions on client, deposit, loan, and revenue outcomes.
• Support annual strategic planning with analysis and insights that inform the growth priorities set by the CRO and Executive Leadership.

Product & Portfolio Opportunity Analysis

• In partnership with enterprise Product partners, analyze product and portfolio opportunities across deposits, payments, consumer lending, business banking, and treasury management using Finance-approved profitability standards and methodology.
• In partnership with Finance, evaluate pricing effectiveness, product utilization trends, and revenue opportunities, incorporating external market and competitor pricing benchmarks.
• Provide evidence and opportunity analysis to inform the Product-owned strategy and roadmap, including business case development.
• Analyze client and portfolio trends to identify underserved segments and new business opportunities.

Market, Client & Journey Insights

• Ingest and analyze external market, industry, economic, and competitive intelligence, including peer bank performance, fintech developments, and insights from enterprise Innovation and Strategy partners, to identify Bank-specific implications and revenue opportunities.
• Apply CX-owned journey analytics and Voice of the Customer insights, connecting findings to Bank growth priorities.
• Analyze client acquisition, retention, attrition, and relationship expansion trends across consumer and business banking segments using enterprise client definitions.
• Support the evaluation of emerging products, partnerships, and strategic initiatives.

Predictive Analytics & Decision Support

• Partner with Enterprise Data and Analytics to define Bank-specific use cases and apply enterprise predictive model outputs to identify opportunities in acquisition, retention, product adoption, and revenue growth.
• Define Bank-specific requirements for the enterprise client lifetime value (CLV) and churn models and apply model insights to growth and retention strategies.
• Provide analytical insight to inform strategic initiatives, investment decisions, and growth opportunities.
• Participate in enterprise data governance to ensure Bank requirements are represented.

Executive & Enterprise Partnership

• Partner across enterprise Data, CX, Finance, Product, Marketing, Innovation, and Technology, aligning enterprise insights and capabilities with Bank growth priorities.
• Partner with Bank leadership, who are accountable for acting on recommendations, and assess the realized value of actions taken.
• Help define and maintain a RACI that clarifies decision rights and accountabilities between this role and enterprise partners.

Leadership & Capability Development

• Operate as a senior individual contributor with broad, enterprise-wide influence, independently leading complex analyses and driving insight-to-action outcomes through strong partnerships with the CRO, Bank leadership, and enterprise partners.
• Establish a growth insights and decision-support capability that leverages enterprise and external resources without duplicating enterprise data engineering, model development, BI platform, financial reporting, research, or governance capabilities.
• Apply enterprise analytical and governance standards while establishing Bank-specific performance frameworks aligned with enterprise definitions.
• Promote data-driven decision making throughout the Bank.
• Foster a culture of continuous learning and professional development.

Success Indicators

• Strength of partnerships with Data, CX, Finance, Product, Marketing, Innovation, and Technology
• Quality and timeliness of insights that inform executive revenue decisions
• Executive adoption of recommendations and measurable realized value from growth initiatives
• Favorable client acquisition, relationship expansion, and product penetration
• Deposit, loan, and revenue growth against plan
• Accuracy and usefulness of growth scenarios and forecasts
• Effective use of enterprise and external data, models, and BI assets without duplicating capabilities

What skills and qualifications does this employee need?

Education/Certifications

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Data Analytics, Business Administration, or a related field required.
• Master's degree preferred (MBA, Analytics, Economics, Data Science, or related discipline).
• Graduate School of Banking, ABA Banking School, or equivalent banking program a plus

Work Experience

• Minimum of 8 to 12 years of progressive experience in banking, financial services, analytics, strategy, business intelligence, product management, or related functions.
• Minimum of 5 years of experience in analytical, strategic, or decision-support roles.
• Experience supporting growth initiatives across deposits, lending, payments, commercial banking and/or consumer banking.
• Proven experience analyzing internal and external data, including market, competitive, and industry benchmark data, to identify trends and revenue opportunities.
• Demonstrated success working within a matrixed or shared-services model, leveraging enterprise data, analytics, and governance to drive business outcomes.
• Experience presenting analytical findings to executive leadership and influencing business decisions.

Required Knowledge, Skills and Abilities

• Strong knowledge of banking products, client financial behavior, profitability drivers, and growth strategies.
• Demonstrated ability to partner effectively across functions and enterprise organizations without direct authority.
• Ability to ingest and synthesize insights from external resources and multiple enterprise sources into clear executive recommendations.
• Advanced analytical, scenario modeling, and problem-solving skills, with the ability to identify the key trends and performance indicators that drive revenue opportunity.
• Working knowledge of predictive modeling, client segmentation, client lifetime value, and relationship profitability concepts.
• Proficiency with business intelligence, reporting, and data visualization tools.
• Understanding of data governance principles and enterprise metric standards.
• Excellent presentation, communication, and executive influencing skills.
• Strong strategic thinking, business acumen, and ability to manage multiple priorities in a fast-paced, evolving environment.

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