Lead Business Intelligence Analyst

Job Description

• Serve as a trusted advisor to executive leadership by translating strategic business objectives into enterprise analytics strategies and solutions
• Influence enterprise decision making through advanced analytics, executive-level storytelling, and actionable insights
• Identify opportunities to accelerate growth, productivity, customer experience, and digital transformation through data, analytics, and AI
• Lead the design and evolution of scalable, secure, and reusable enterprise analytics solutions
• Influence architectural standards for semantic models, data products, metrics, dashboards, metadata, lineage, self-service analytics, and analytical asset lifecycle management
• Develop enterprise measurement frameworks, KPIs, forecasting models, and performance reporting strategies
• Create reusable analytics frameworks, design patterns, and accelerators
• Ensure solutions align with architecture, data governance, security, privacy, and data management standards
• Evaluate and recommend generative AI, predictive analytics, automated insights, natural language querying, and intelligent decision-support capabilities
• Promote responsible AI practices aligned with governance, compliance, security, and risk management standards
• Identify emerging trends, risks, technologies, and opportunities influencing analytics strategy
• Lead enterprise analytics initiatives from strategy and solution design through implementation, adoption, and value realization
• Partner with business leaders to define success measures, quantify value, and ensure measurable outcomes
• Drive adoption of data-informed decision making, analytics best practices, and data literacy
• Align analytics priorities, strategic roadmaps, and organizational best practices
• Mentor analytics practitioners through technical leadership, knowledge sharing, and architectural guidance Requirements
• Bachelor’s degree in mathematics, Statistics, Computer Science, Data Analytics, Business, Economics, or another quantitative discipline; Master's degree preferred or an equivalent combination of education and experience
• 10+ years of progressive experience in business intelligence, analytics, data strategy, management consulting, or related advisory roles
• Experience leading enterprise-scale analytics initiatives and influencing senior business and technology leaders
• Success partnering with executive leadership to shape business strategy, prioritize investments, and deliver measurable outcomes through data, analytics, and AI
• Experience leading enterprise-wide transformation initiatives involving analytics modernization, KPI standardization, self-service analytics, data governance, data products, or AI-enabled decision support
• Experience operating within complex, cross-functional organizations and influencing outcomes without direct managerial authority
• Financial services, wealth management, fintech, or other highly regulated industry experience preferred
• Expert SQL proficiency
• Expert-level experience with Power BI or other modern business intelligence and visualization platforms such as Tableau or Looker
• Expertise in enterprise analytics architecture, dimensional modeling, semantic models, data products, metric layer design, data modeling, and enterprise reporting frameworks
• Experience developing scalable, governed analytics solutions
• Knowledge of data governance, data quality, metadata management, and analytical best practices
• Executive communication, facilitation, and data storytelling skills
• Experience evaluating and implementing AI-enabled analytics capabilities, including generative AI, natural language querying, automated insights, and predictive analytics
• Experience implementing AI and generative AI use cases, including governance, risk management, responsible AI practices, and business adoption strategies
• Consultative and stakeholder management skills
• Ability to lead through influence, align diverse stakeholder groups, and drive consensus
• Ability to synthesize ambiguous business challenges into structured analytical approaches and strategic recommendations
• Experience developing business cases, value realization frameworks, and measuring analytics impact
• Strong analytical ability and business acumen
• Ability to manage multiple priorities in a fast-paced environment Benefits
• Annual bonus program
• Retirement contributions
• Health insurance
• Sick leave
• Parental leave
• Paid time off
• Diversity and inclusion culture
• Equal employment opportunity