Analytics Solutions - Vice President

As a Business Analytics Vice President will join a dynamic Data Analytics team that manages strategy and operational insights for the Commercial & Investment Bank’s Global Services function. This is a high-visibility role involving direct interaction and partnership with various senior stakeholders. Youwill learn core business processes and develop people, process, and technology components required to support a best-in-class organization. You will also lead development ofC-suite/ Executive presentations and targeted analytics that help inform the health of the business.

• Define, develop, monitor, and report key management metrics around the health of a global operations program.
• Manage a complex analytics book of work, leveraging rigorous project management discipline.
• Partner with senior leaders in advancing their business analytics agenda to deliver in areas around operational efficiency, cost modeling, capacity planning, quality enhancements, etc.
• Define, design, and manage high priority strategic initiatives with senior level visibility in the areas above.
• Develop a deep understanding of the technical systems and business processes to extract data-driven insights while identifying opportunities for engineering enhancements.
• Collaborate and build dynamic partnerships with technology, application owners and data management teams to align on a roadmap for continual improvement (e.g. advanced analytics, cloud adoption etc.).
• Explore datasets to uncover trends, outliers, and relationships. Utilize interactive visualizations to allow stakeholders to explore the data, drill down into details, and discover insights on their own.

• At least 6 years of work experience within Analytics, Information Systems, Operations Research and/or Management Consulting roles.
• Advanced quantitative and problem-solving skills.
• Knowledge and experience with various analytical and business intelligence tools.
• Excellent communication and stakeholder partnership ability.
• Project experience involving the use of data to solve complex business problems, leveraging toolsets such as:
  
  SQL, Qlik Sense, Tableau, Python, R and Alteryx.
• Hands-on experience with SQL and No
  
  SQL database systems (AWS Redshift, PostgreSQL, etc.).
• Undergraduate degreein a quantitative field.

• Work experience in Financial Services is a plus.
• Advanced degree is a plus.