Manager II, Business Intelligence (Membership & Deposit Product Strategy)

📍 Job Overview

Job Title: Manager II, Business Intelligence (Membership & Deposit Product Strategy)

Company: Navy Federal Credit Union

Location: Vienna, Virginia, United States

Job Type: Full time

Category: Revenue Operations / Business Intelligence & Analytics

Date Posted: 2026-05-06T13:39:20

Experience Level: 10+ years

Remote Status: Hybrid

🚀 Role Summary

• Lead and manage the Analytics & Insights Business Intelligence team to deliver high-impact, actionable insights for membership and deposit product strategies.

• Develop and implement strategic priorities for reporting and advanced analytics to ensure alignment with corporate objectives and drive data-driven decision-making.

• Provide deep functional expertise in business intelligence tools and methodologies to inform strategic business decisions and product innovation.

• Foster a data-driven culture by transforming complex data into clear, actionable insights that guide product development, member engagement, and business outcomes.

• Collaborate closely with Product Management and Product Strategy teams to leverage data and behavioral insights for smarter, more personalized member experiences.

📝 Enhancement Note: This role sits within the Analytics & Insights team, acting as the intelligence engine for Membership and Deposit Products Strategy. The focus is on translating data into actionable insights to guide strategic decisions, product innovation, and investment. The role requires strong leadership in business intelligence and a deep understanding of how data influences member engagement and business outcomes within the financial services sector.

📈 Primary Responsibilities

• Oversee the day-to-day operations and strategic direction of the Business Intelligence team within Analytics & Insights.

• Develop and execute a comprehensive strategy for reporting, dashboarding, and advanced analytics that supports Membership and Deposit Product strategies.

• Define key performance indicators (KPIs) and metrics to measure product performance, member engagement, and overall business impact, ensuring alignment with corporate goals.

• Lead the team in conducting deep-dive analyses to uncover trends, identify opportunities, and provide strategic recommendations for product development and enhancement.

• Ensure the integrity, accuracy, and accessibility of data used for reporting and analysis, establishing and maintaining data governance standards.

• Collaborate with cross-functional teams, including Product Management, Marketing, IT, and other business units, to understand their data needs and deliver tailored analytical solutions.

• Manage stakeholder relationships, effectively communicating complex analytical findings and strategic recommendations to senior leadership and product teams.

• Mentor and develop team members, fostering a culture of continuous learning, innovation, and high performance in data analytics and business intelligence.

• Drive the adoption of best practices in business intelligence, data visualization, and analytical methodologies across the organization.

• Stay abreast of industry trends, emerging technologies, and competitive landscape in financial services and business intelligence to identify opportunities for innovation.

📝 Enhancement Note: The core responsibilities emphasize leadership in business intelligence, strategic planning for analytics, and direct impact on product strategy within the financial services domain. The role requires translating complex data into actionable insights for product managers and strategists, indicating a strong GTM (Go-To-Market) enablement component through data intelligence.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in a relevant field such as Business Analytics, Data Science, Statistics, Economics, Finance, Computer Science, or a related quantitative discipline.

Experience:

• Minimum of 7 years of progressive experience in business intelligence, data analytics, or a related field.

• At least 3 years of experience in a management or team leadership role, demonstrating the ability to guide and develop analytical teams.

Required Skills:

• Business Intelligence Tools: Advanced proficiency with BI platforms such as Tableau and/or Power BI for data visualization, dashboard creation, and interactive reporting.

• Data Analysis & Querying: Strong expertise in SQL for data extraction, manipulation, and analysis from relational databases.

• Statistical Analysis & Modeling: Solid understanding of statistical concepts, analytical techniques, and potentially predictive modeling to derive insights.

• Team Management & Leadership: Proven ability to lead, mentor, and develop a team of analysts, fostering a high-performance culture.

• Strategic Planning: Experience in developing strategic priorities for analytics initiatives and aligning them with broader business objectives.

• Stakeholder Management: Excellent ability to build relationships, manage expectations, and communicate effectively with stakeholders at various levels, including senior leadership.

• Presentation Skills: Demonstrated ability to articulate complex data findings and strategic recommendations clearly and persuasively to both technical and non-technical audiences.

• Data-Driven Decision Making: A strong mindset focused on leveraging data to inform and influence strategic business decisions and product development.

Preferred Skills:

• Experience within the financial services industry, specifically within credit unions or banking, with an understanding of membership and deposit products.

• Familiarity with data warehousing concepts and ETL processes.

• Experience with A/B testing and experimental design for product optimization.

• Knowledge of project management methodologies (e.g., Agile, Waterfall) for managing analytical projects.

• Familiarity with data governance principles and best practices.

📝 Enhancement Note: The requirement for 7+ years of experience with 3+ years in management, coupled with strong BI tool proficiency (Tableau, Power BI) and SQL, indicates a senior-level role. The emphasis on strategic planning, stakeholder management, and driving data-driven decisions points towards a position that bridges technical analytics with business strategy and GTM influence.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies on Impact: A portfolio showcasing 2-3 detailed case studies demonstrating how your analytical work directly influenced product strategy, drove member engagement, or improved business outcomes for membership and deposit products.

• Data Visualization Examples: Demonstrations of sophisticated dashboards and reports created using Tableau or Power BI, highlighting clarity, insight generation, and user interactivity.

• Process Improvement Documentation: Examples of how you've optimized data analysis workflows, reporting processes, or BI system implementations to improve efficiency and data accuracy.

• Strategic Recommendations: Evidence of strategic recommendations derived from data analysis that led to tangible business results, such as product adoption increases, improved member retention, or revenue growth.

Process Documentation:

• Workflow Design & Optimization: Ability to document and present current state analysis workflows and propose optimized future state workflows for data collection, analysis, and reporting.

• System Implementation & Integration: Experience documenting the implementation of BI tools or analytical systems, including integration points and data flow.

• Measurement & Performance Analysis: Documentation of how KPIs are defined, tracked, and analyzed, with clear methodologies for measuring the impact of initiatives.

• Data Governance & Quality Assurance: Examples of processes implemented to ensure data accuracy, consistency, and adherence to governance standards.

📝 Enhancement Note: For a Manager II role focused on Business Intelligence and Product Strategy, a portfolio is crucial. It should not only showcase technical skills in BI tools and data analysis but also demonstrate strategic thinking, leadership in process improvement, and a clear ability to translate analytical findings into actionable strategies that impact business outcomes. The emphasis on "Membership & Deposit Product Strategy" implies a need for case studies specific to financial products.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for a Manager II, Business Intelligence role with 10+ years of experience in the Washington D.C. metropolitan area (Vienna, VA), a competitive salary range is estimated to be between $128,300 to $187,500 USD per year.

Benefits:

• Competitive Pay: As highlighted by the company, offering highly competitive compensation.

• Generous Benefits: Comprehensive health insurance (medical, dental, vision), retirement savings plan (e.g., 401k with potential company match), life insurance, and disability coverage.

• Paid Time Off: Generous vacation, sick leave, and paid holidays, supporting work-life balance.

• Professional Development: Opportunities for training, certifications, conferences, and tuition reimbursement to support career growth.

• Perks: Access to various employee perks and discounts, reflecting the company's commitment to employee well-being.

• Employee Assistance Program: Support services for personal and professional challenges.

Working Hours:

• Standard full-time hours are typically 40 hours per week.

• The role is described as Hybrid, suggesting a flexible arrangement that may involve a combination of on-site work at the Vienna, VA office and remote workdays. Specific on-site expectations will be clarified during the interview process.

📝 Enhancement Note: The provided salary range ($128,300 - $187,500) is derived from industry salary data for Manager II level Business Intelligence roles in the specified geographic area, considering the company's reputation as a large financial institution. The benefits listed are standard for large corporations in the US financial sector and are corroborated by the company's mention of "highly competitive pay and generous benefits and perks."

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (Credit Union)

• Navy Federal Credit Union operates within the highly regulated and competitive financial services sector. As a member-owned cooperative, its culture often emphasizes member service, financial well-being, and community support over profit maximization, differentiating it from traditional banks. This focus on member advocacy can translate into a collaborative and purpose-driven work environment for operations roles.

Company Size: Large Enterprise (Likely thousands of employees, given its status as a major credit union and "FORTUNE 100 Best Companies to Work For®")

• As a large organization, Navy Federal likely offers structured career paths, robust training programs, and a wide array of benefits. For operations professionals, this size can mean opportunities for specialization, working on large-scale projects, and navigating established processes. It also implies a need for strong communication and collaboration skills to work effectively across numerous departments.

Founded: 1933

Team Structure:

• Operations Team Aspect 1: The Analytics & Insights team is positioned as the "intelligence engine" for Product Strategy, indicating a core function that supports strategic decision-making across product lines. It likely comprises specialists in data analysis, business intelligence, and potentially data science.

• Operations Team Aspect 2: This role reports to a Director or VP level within the Analytics & Insights or Product Strategy domain. The Manager II will lead a team of Business Intelligence Analysts, fostering a hierarchical structure that supports specialized analytical work.

• Operations Team Aspect 3: Close collaboration with Product Management and Product Strategy teams is explicitly mentioned, highlighting a cross-functional partnership. The BI team will also likely interface with IT for data infrastructure, Marketing for member insights, and potentially Risk or Compliance for data integrity.

Methodology:

• Operations Process 1: Data analysis and insights methods are central, focusing on transforming "rich data into insights." This involves employing advanced analytical techniques, statistical modeling, and data visualization to uncover trends and inform strategic decisions.

• Operations Process 2: Workflow planning and optimization strategies are key, as the team aims to "turn complexity into clarity" and enable "smarter, more personalized experiences." This implies a structured approach to problem-solving and process improvement.

• Operations Process 3: Automation and efficiency practices are implied by the need to deliver "high-impact and actionable insights" efficiently. The role likely involves leveraging BI tools and potentially scripting to automate reporting and analysis where feasible.

Company Website: https://www.navyfederal.org/

📝 Enhancement Note: Navy Federal's status as a major credit union and its numerous "Best Companies to Work For" accolades suggest a strong, member-centric culture. For operations professionals, this means a focus on ethical practices, data integrity, and contributing to member financial well-being. The team structure emphasizes deep collaboration with product teams, positioning BI as a critical enabler of GTM strategies.

📈 Career & Growth Analysis

Operations Career Level: Manager II, Business Intelligence

Reporting Structure:

Operations Impact:

Growth Opportunities:

• Operations Skill Advancement: Potential to move into Director-level roles within Analytics, Business Intelligence, or Product Strategy, managing larger teams and broader analytical domains. This could include specializing further in areas like data science, advanced analytics, or product analytics.

• Leadership Development: Opportunities to hone leadership skills through managing a team, leading cross-functional projects, and contributing to strategic planning initiatives. The company's emphasis on career development suggests formal training programs may be available.

• Industry Specialization: Deepening expertise in financial services analytics, particularly in credit union operations, membership growth, and deposit product strategy, which can lead to niche leadership roles within the industry.

📝 Enhancement Note: The Manager II designation, coupled with the strategic nature of the role and its impact on product strategy, positions this as a significant leadership opportunity. Growth potential likely extends to Director-level positions, with opportunities to specialize within financial services analytics or broaden into broader data leadership roles.

🌐 Work Environment

Office Type: Hybrid Work Environment

Office Location(s):

Workspace Context:

• Workspace Aspect 1: The hybrid model encourages collaboration, likely through scheduled team meetings, brainstorming sessions, and project-specific work conducted both in the office and virtually. Expect a professional office setting designed for focused work and team interaction.

• Workspace Aspect 2: As a technology-driven organization, expect access to modern computing resources, relevant software licenses for BI tools (Tableau, Power BI), and potentially collaboration platforms. The IT infrastructure will support data analysis and reporting needs.

• Workspace Aspect 3: Opportunities for interaction with the broader Analytics & Insights team, Product Management, and other strategic departments will be plentiful, especially during on-site days. This facilitates knowledge sharing and fosters a strong sense of team and organizational connection.

Work Schedule:

• A standard 40-hour work week is expected. The hybrid arrangement offers flexibility in structuring the work week, balancing in-office days with remote days as agreed upon with management. This structure supports efficient data analysis and strategic planning while accommodating personal needs.

📝 Enhancement Note: The hybrid nature of this role is a key differentiator, offering flexibility while maintaining the collaborative benefits of an office presence. For operations professionals, this means managing their own time effectively and contributing to team goals both individually and collaboratively.

📄 Application & Portfolio Review Process

Interview Process:

• Process Step 1 (Initial Screening): HR or Recruiter call to assess basic qualifications, interest, and cultural fit. Prepare to articulate your leadership experience and understanding of business intelligence in financial services.

• Process Step 2 (Hiring Manager Interview): In-depth discussion with the hiring manager focusing on leadership style, team management experience, strategic thinking, and technical expertise related to BI tools and data analysis. Be ready to discuss your approach to developing analytical strategies and managing teams.

• Process Step 3 (Technical/Case Study): A potential case study or technical assessment to evaluate your analytical skills, problem-solving abilities, and proficiency with BI tools (e.g., SQL, Tableau/Power BI). This might involve analyzing a dataset or solving a business problem related to product strategy.

• Process Step 4 (Panel Interview): Interview with key stakeholders, potentially including peers from Product Management, other analytics leaders, or senior management. This assesses collaboration skills, ability to influence, and overall fit within the broader organization. Be prepared to discuss how you've partnered with other departments.

• Process Step 5 (Final Interview/Offer): Final discussion, potentially with a VP or senior executive, to confirm fit and extend an offer.

Portfolio Review Tips:

• Portfolio Tip 1: Curate your portfolio to specifically highlight projects related to product strategy, member analytics, or financial product performance. Quantify your impact with metrics wherever possible.

• Portfolio Tip 2: For each case study, clearly outline the problem, your analytical approach, the tools used, the insights generated, and the resulting business actions or outcomes. Use a STAR (Situation, Task, Action, Result) format.

• Portfolio Tip 3: Ensure visualizations in your portfolio are clear, concise, and tell a compelling story. Be prepared to walk through a dashboard and explain its key components and insights.

• Portfolio Tip 4: Tailor your portfolio presentation to Navy Federal's context. Demonstrate an understanding of how business intelligence supports credit union objectives and member financial well-being.

Challenge Preparation:

• Challenge Preparation 1: Expect challenges that require you to analyze a hypothetical business scenario related to membership or deposit products. Focus on how you would approach defining metrics, gathering data, and deriving actionable insights.

• Challenge Preparation 2: Practice structuring your response logically and communicating your thought process clearly. Time management is crucial; allocate time for problem understanding, solution design, and presentation.

• Challenge Preparation 3: Be prepared to articulate how you would present your findings to different audiences (e.g., technical team vs. executive leadership) and how you would manage stakeholder expectations throughout the analysis process.

📝 Enhancement Note: The interview process is likely multi-stage, involving HR, hiring managers, potential technical assessments, and stakeholder panels. A strong portfolio showcasing relevant case studies in financial product analytics and leadership is critical for success. Preparation should focus on demonstrating strategic thinking, leadership capabilities, and a deep understanding of business intelligence's role in driving product strategy.

🛠 Tools & Technology Stack

Primary Tools:

• Tableau: A leading data visualization tool for creating interactive dashboards, reports, and performing exploratory data analysis. Proficiency in designing efficient and insightful dashboards is expected.

• Power BI: Another prominent BI platform, likely used for similar purposes as Tableau. Experience with its features for data modeling, visualization, and reporting is highly valuable.

• SQL: Essential for data extraction, transformation, and analysis from relational databases. Advanced SQL skills are critical for manipulating and querying large datasets.

• Microsoft Excel: For ad-hoc analysis, data manipulation, and reporting, often used in conjunction with BI tools.

Analytics & Reporting:

• Statistical Software (e.g., R, Python): While not explicitly mentioned, advanced analytics roles often benefit from experience with statistical programming languages for more complex modeling and analysis.

• Data Warehousing Tools (e.g., Snowflake, Teradata): Understanding of data warehousing principles and experience querying data from such systems is beneficial.

• Reporting & Dashboarding Platforms: Beyond Tableau and Power BI, familiarity with enterprise reporting solutions or custom-built analytics platforms may be relevant.

CRM & Automation:

• CRM Systems (e.g., Salesforce): While not a primary focus for this BI role, understanding how CRM data integrates with analytical platforms can be advantageous for understanding member interactions.

• Workflow Automation Tools: Potentially experience with tools that can automate data extraction, transformation, or reporting processes, enhancing team efficiency.

• ETL Tools (e.g., Informatica, SSIS): Familiarity with Extract, Transform, Load processes and tools used to populate data warehouses.

📝 Enhancement Note: The core technical requirements revolve around Business Intelligence platforms (Tableau, Power BI) and SQL for data manipulation. The role likely interacts with enterprise data warehouses and may benefit from familiarity with statistical analysis tools and ETL processes, common in large financial institutions for robust data management.

👥 Team Culture & Values

Operations Values:

• Member-Centricity: A core value at Navy Federal, emphasizing that all decisions and analyses should ultimately benefit the members. This means understanding member needs and driving initiatives that enhance their financial well-being.

• Integrity & Trust: As a financial institution, upholding the highest standards of integrity, data accuracy, and ethical conduct is paramount. Operations professionals must be trustworthy custodians of sensitive member data.

• Excellence & Continuous Improvement: The company consistently strives for "Best Places to Work" recognition, indicating a commitment to high performance, quality, and ongoing development. This translates to a culture that values efficiency, innovation, and proactive problem-solving in operations.

• Collaboration & Teamwork: With a strong emphasis on cross-functional partnerships (Product, IT, etc.), a collaborative approach is essential. Operations professionals are expected to work effectively with diverse teams to achieve shared goals.

• Data-Driven Decision Making: This is explicitly stated as a core function of the Analytics & Insights team, reinforcing the value placed on evidence-based strategies and measurable outcomes.

Collaboration Style:

• Cross-Functional Integration: The BI team works closely with Product Management and Strategy, requiring a style that integrates analytical insights directly into product development cycles. This involves proactive communication and a partnership approach.

• Process Review & Feedback: A culture that encourages open feedback on analytical methods, reporting outputs, and strategic recommendations. This allows for continuous refinement and ensures the team's work remains relevant and impactful.

• Knowledge Sharing: Encouraging team members to share best practices, learnings from analyses, and expertise in BI tools. This can happen through team meetings, internal documentation, or informal discussions, fostering a collective growth environment.

📝 Enhancement Note: Navy Federal's values, particularly member-centricity and integrity, will heavily influence the operational approach. Operations professionals in this role will need to demonstrate how their work contributes to member financial health and upholds data security and accuracy. Collaboration is key, especially with product teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity & Integration: Navigating and integrating vast amounts of data from various sources within a large financial institution can be complex. Ensuring data accuracy and consistency across different systems will be an ongoing challenge.

• Balancing Strategic vs. Tactical Demands: Managing the team's workload to deliver both high-level strategic insights and day-to-day tactical reporting requests effectively. Prioritization and clear communication will be crucial.

• Translating Data to Actionable Insights: The perennial challenge of moving beyond reporting raw data to providing clear, concise, and actionable recommendations that product teams can readily implement.

• Keeping Pace with Evolving Technologies: The BI and analytics landscape is constantly changing. Staying current with new tools, techniques, and best practices while managing operational demands requires continuous learning.

Learning & Development Opportunities:

• Operations Skill Advancement: Opportunities to deepen expertise in advanced analytics, data science techniques, machine learning applications for product strategy, and modern BI architecture.

• Industry Certifications & Conferences: Support for obtaining relevant certifications (e.g., Tableau, Power BI, financial analytics) and attending industry conferences to network and learn about emerging trends.

• Operations Mentorship & Leadership: Potential for mentorship from senior leaders within Navy Federal and opportunities to develop leadership skills through managing a high-performing team and contributing to strategic initiatives.

📝 Enhancement Note: The primary challenges will revolve around managing complex data environments and effectively translating insights into actionable product strategies. Growth opportunities are strong, with clear paths for technical specialization and leadership development within a reputable financial institution.

💡 Interview Preparation

Strategy Questions:

• Operations Question 1: "Describe a time you developed and implemented a BI strategy to support product growth. What were the key components, and what was the outcome?"

  • Preparation: Focus on your strategic planning process, how you identified key metrics, and how you ensured alignment with overall business goals. Use a case study from your portfolio.

• Operations Question 2: "How do you collaborate with Product Management to ensure your insights are effectively used to drive product decisions and improve member experience?"

  • Preparation: Highlight your communication style, stakeholder management techniques, and experience in translating complex data into easily understandable recommendations for non-technical audiences.

• Operations Question 3: "Imagine our membership growth has plateaued. How would you, as a BI Manager, approach analyzing this situation and what initial steps would you take?"

  • Preparation: Outline your analytical framework, including data sources you'd investigate (e.g., acquisition channels, retention rates, product adoption), key metrics you'd track, and potential hypotheses you'd explore.

Company & Culture Questions:

• Operations Question 4: "What do you know about Navy Federal Credit Union's mission, and how do you see your role in supporting it through business intelligence?"

  • Preparation: Research NFCU's mission statement, values, and recent news. Connect your role to their member-centric approach and commitment to financial well-being.

• Operations Question 5: "Describe your leadership style and how you foster a high-performing and collaborative team environment, especially in a hybrid work setting."

  • Preparation: Provide specific examples of how you motivate, mentor, and manage your team. Discuss strategies for maintaining team cohesion and productivity in a hybrid model.

• Operations Question 6: "How do you measure the ROI or business impact of your team's analytics work?"

  • Preparation: Be ready to discuss specific KPIs you've used, case studies where you've quantified the impact of your insights (e.g., increased revenue, reduced costs, improved member satisfaction), and how you report this value to leadership.

Portfolio Presentation Strategy:

• Presentation Strategy 1: Structure your portfolio walkthrough around 2-3 key projects. For each, clearly define the business problem, your analytical approach, the specific data and tools used, the insights derived, and the tangible business outcomes achieved.

• Presentation Strategy 2: Use clear, concise language. For quantitative results, present metrics and percentages that demonstrate business impact. Be prepared to explain any dashboards or visualizations in detail, highlighting their purpose and key takeaways.

• Presentation Strategy 3: Be ready to engage in a Q&A session. Anticipate questions about your methodologies, challenges faced, and how you would adapt your approach to NFCU's specific context. Show enthusiasm for the role and the company.

📝 Enhancement Note: Interview preparation should focus on demonstrating leadership, strategic thinking, technical proficiency with BI tools, and a strong understanding of how analytics drives product strategy and business outcomes within the financial services sector. Emphasize your ability to translate data into actionable insights and your alignment with Navy Federal's member-centric values.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Navy Federal Credit Union career portal, ensuring all required fields are completed accurately.

• Concrete Preparation Step 1: Tailor Your Resume: Update your resume to prominently feature your experience in Business Intelligence, Data Analytics, Team Management, and specific BI tools (Tableau, Power BI, SQL). Quantify your achievements with numbers and percentages demonstrating impact on product strategy, revenue, or member engagement.

• Concrete Preparation Step 2: Curate Your Portfolio: Select 2-3 of your most impactful projects that showcase your ability to drive product strategy through data insights. Prepare detailed case studies highlighting problem, approach, results, and ROI, with a focus on financial products if possible.

• Concrete Preparation Step 3: Practice Your Pitch: Rehearse your introduction and your ability to articulate your experience and qualifications concisely. Practice walking through your portfolio case studies, focusing on clear storytelling and demonstrating your strategic thinking and leadership capabilities.

• Concrete Preparation Step 4: Research Navy Federal: Thoroughly understand Navy Federal's mission, values, and recent achievements. Familiarize yourself with their product offerings (membership and deposit accounts) and their commitment to member service. This will help you tailor your responses and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.