Senior Lead Business Intelligence Consultant - Data Analytics and Reporting (DAR) Team

About the Role

Key Responsibilities

• Design and implement analytic insights and products that deliver actionable insights aligned with the priorities of Wholesale Operations.
• Lead the development of sophisticated data products, including predictive models, NLP applications, and advanced quantitative methods to solve high-impact business problems.
• Translate complex analytical outputs into compelling narratives that drive executive decision-making and business alignment.
• Serve as a trusted advisor to senior leaders, proactively identifying opportunities where data can unlock value and improve operational outcomes.
• Provide thought leadership and mentorship to analysts and data scientists, guiding them through hypothesis development, analytical design, and insight delivery.
• Partner with enterprise teams (e.g., Data & Analytics, Risk, Technology) to co-develop scalable solutions, including AI/ML pilots and data governance initiatives.
• Foster a high-performance culture rooted in analytical rigor, innovation, and client-centricity.
• Develop comprehensive frameworks to systematically quantify and document the value delivered by analytics initiatives throughout the portfolio.

Requirements

• 7+ years of business intelligence and data visualization experience, or equivalent demonstrated through work experience, training, military experience, or education.
• Strong foundation in statistical modeling, machine learning, business intelligence, and operational analytics.
• Track record of influencing and partnering with senior leaders across functions to align analytics initiatives with business priorities.
• Deep understanding of operational analytics, including capacity planning, productivity metrics, and performance optimization.
• Skilled at navigating complex, matrixed organizations and constructively challenging the status quo to drive better outcomes.
• Exceptional ability to influence senior stakeholders through clear, concise, and impactful storytelling.
• Deep understanding of Wealth Investment Management, Commercial, or Corporate & Investment Banking data environments, products, and operations.

Nice to Have

• Experience in developing and executing data-driven strategies that drive measurable business outcomes.
• Demonstrated success in leading transformation initiatives and fostering innovation.
• Ability to work on site in Charlotte, NC with a hybrid schedule and willingness to travel up to 10%.
• Experience with AI/ML pilot development and data governance initiatives.

Qualifications

• Educational background in a relevant field (implied by experience requirement)

Benefits & Perks

• Robust benefits package
• Competitive compensation
• Work-life balance programs