Analytics & Reporting, Vice President

About the role

The Analytics & Reporting, Vice President role is a strategic leadership position within the Operations & Reporting function. This role partners with stakeholders across various departments to design and deliver scalable dashboards, predictive analytics, and data visualization solutions that enhance oversight, transparency, and decision-making.

Responsibilities

• Work with clients to design and prototype data visualizations;
• Produce and interpret data visualizations for a variety of projects;
• Provide clients with detailed, actionable reports documenting the findings from data processing and data analysis;
• Advise end-users on data manipulation, end-user support systems, and statistical analysis;
• Facilitate and support the exploration of data and exploring its meaning and potential impact;
• Apply advanced data analytics, data mining, AI / machine learning methods to solve problems and develop predictive models;
• Analyze results for multiple functions and communicate conclusions from complex models to a wide range of audiences;
• Develop and maintain the consultative relationships with key business stakeholders, proactively identifying and addressing BI needs to meet business needs, along with regulatory and compliance requirements;
• Perform data preparation work (e.g., source, scrub, mine, and integrate relevant data sources) needed for the delivery of BI and data visualization solutions;
• Lead proof of concept projects to test and adopt emerging BI and/or advanced data visualization tools and own the delivery of BI reporting and dashboards from start to finish;
• Support the development of a change management process that facilitates the ability for business leaders to propose and debate new metrics or metric modifications per business needs;
• Support the development of a standard process for defining data requirements, managing governance, creating BI reports and dashboards for use throughout the organization;
• Experience designing, developing, implementing, and maintaining large-scale business intelligence (BI), data visualization and analytics programs;
• Experience in highly distributed complex business and technology environments;
• Influence non-technical aspects of technology change (e.g., business and operational architectures);
• Proven track record working with technical, customer, and functional teams;
• Experience in Credit Risk Analytics or Credit Review Analytics & Reporting preferred;
• Experience with enterprise dashboard and reporting platforms (e.g., Tableau, Power BI, Workiva, QlikView, Oracle Business Intelligence, or Business Objects, etc.) with very large data sets;
• Strong experience in wide range of analytics, BI, and big data technologies;
• Experience in areas of Credit Risk or Credit Review preferred;
• Strong experience in metadata process, data lineage, and traceability repositories and technologies;
• Leverage AI capabilities is a plus;
• Demonstrates leadership and communicates effectively;
• Identifies multiple paths to success using analytical and critical thinking as well as decision-making skills;
• Operates strategically to support a culture of continuous improvement and systems thinking;
• Makes sound business decisions in a complex work environment;
• Collaborates with other business functions and divisions to advance business objectives;
• Is flexible, decisive, and able to establish support from leadership;
• Maintains monitoring industry trends and best practices and applies insights to advance the business;
• Exhibits and fosters optimism, resilience, flexibility, and openness to others' ideas;
• Engages inclusively and with intent;
• Leads by example;
• Iterative problem-solving;
• Serves as a trusted advisor;
• Ability to work in a fast-paced, global environment with multiple priorities that require superior project management and decision-making capabilities;
• Strong communication and persuasion skills; ability to create messaging materials that meet stakeholder preferences, including ability to present concepts verbally.

Requirements

• Ability to translate complex technical designs and terminologies into simplified business language;
• Experience in Credit Risk Analytics or Credit Review Analytics & Reporting preferred;
• Experience with enterprise dashboard and reporting platforms (e.g., Tableau, Power BI, Workiva, QlikView, Oracle Business Intelligence, or Business Objects, etc.) with very large data sets;
• Strong experience in wide range of analytics, BI, and big data technologies;
• Experience in areas of Credit Risk or Credit Review preferred;
• Strong experience in metadata process, data lineage, and traceability repositories and technologies;
• Leveraging AI capabilities is a plus;
• Demonstrates leadership and communicates effectively;
• Identifies multiple paths to success using analytical and critical thinking as well as decision-making skills;
• Operates strategically to support a culture of continuous improvement and systems thinking;
• Makes sound business decisions in a complex work environment;
• Collaborates with other business functions and divisions to advance business objectives;
• Is flexible, decisive, and able to establish support from leadership;
• Maintains monitoring industry trends and best practices and applies insights to advance the business;
• Exhibits and fosters optimism, resilience, flexibility, and openness to others' ideas;
• Engages inclusively and with intent;
• Leads by example;
• Iterative problem-solving;
• Serves as a trusted advisor;
• Ability to work in a fast-paced, global environment with multiple priorities that require superior project management and decision-making capabilities;
• Strong communication and persuasion skills; ability to create messaging materials that meet stakeholder preferences, including ability to present concepts verbally.

Qualifications

• Undergraduate degree in statistics, data science, computer science or in a science, technology, engineering, finance, risk management, management information systems, or related field and/or math (STEM) discipline;
• Master's degree in related area noted above preferred but not required.

Pay

The typical base pay range for this role is $136,000 to $164,000 depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation.

Schedule

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day.

Benefits

For more information on our Total Rewards package, please click the link below. MUFG Benefits Summary