Analytics Solutions - Vice President

Job Responsibilities

• Define, develop, monitor, and report management metrics to assess global operations health
• Manage a complex analytics book of work using rigorous project management discipline
• Partner with senior leaders to deliver analytics for efficiency, cost modeling, capacity planning, and quality enhancement
• Drive high-priority strategic initiatives with senior-level visibility
• Build deep knowledge of technical systems and business processes to generate data-driven insights and identify engineering opportunities
• Collaborate with technology, application owners, and data management teams to align roadmaps for continual improvement (e.g., advanced analytics, cloud adoption)
• Explore datasets to identify trends, outliers, and relationships; deliver interactive visualizations that enable stakeholder self-service insights
• Create executive-level presentations and narratives that clearly communicate performance, risks, and recommendations
• Establish governance and standards for metric definitions, dashboards, and data quality
• Automate repeatable analytics and develop scalable assets that improve delivery speed and consistency
• Track outcomes and measure benefits realization for initiatives and operational changes

Required Qualifications, Capabilities, And Skills

• 6+ years of experience in analytics, information systems, operations research, and/or management consulting, within financial services
• Strong quantitative and problem-solving skills
• Proficiency with analytical and business intelligence tools
• Excellent communication skills and stakeholder partnership capability
• Project experience using data to solve complex business problems with tools such as SQL, Qlik Sense, Tableau, Python, R, and Alteryx
• Hands-on experience with SQL and NoSQL databases (e.g., AWS Redshift, PostgreSQL)
• Undergraduate degree in a quantitative field

Preferred Qualifications, Capabilities, And Skills

• Experience building executive dashboards and storytelling with data for senior audiences
• Knowledge of cloud analytics architectures and data engineering best practices
• Familiarity with data governance, metadata management, and KPI standardization
• Experience with capacity modeling, workforce planning, or operational forecasting
• Experience operationalizing self-service analytics and data literacy programs
• Certifications in relevant tools or methodologies (e.g., Tableau, AWS, Agile)