Serves as a thought partner and senior analyst to develop innovative data solutions and frameworks to support AI ready data. Vanguard is looking for a senior level data analyst with experience presenting recommendations to senior management, developing innovative solutions, and is technically skilled in data quality & analytics tools. You will become an expert in the critical data managed, provide thought leadership into transformative decisions and initiatives, and deepen relationships and business acumen while consulting with stakeholders and partners, inclusive of our external data vendors. By innovating in new ways to improve our data management processes, we want to leverage evolving data management capabilities and analytics tools to move our clients forward creating trusted data to support AI Ready Data and BI solutions. Core Responsibilities Serves as a subject matter expert (SME) of data sets for a given industry, data storage systems, and the operational processes being supported. Maintains awareness of changing business needs to create appropriate project solutions. Leads process design efforts to support new offerings, business initiatives, or improvement projects. Performs root cause analyses of complex data errors. Identifies opportunities to eliminate future occurrences, prioritizes initiatives, mitigates risk, leverages technology, and recommends short- and long-term solutions for issues. Focuses on improving Data Management's service offer and communicates with stakeholders and management to obtain their input and buy-in as appropriate. Recommends, coordinates, documents, and implements changes that will enhance work-flows and procedures. Integrates new or existing technologies into work-flows and communicates to all team members. Analyzes impacts and prepares environment for change. Builds and maintains relationships with internal and external partners to define data requirements, develop project specifications, and execute data projects to ensure that the expected outputs are delivered. Provides validation and approval of project deliverables. Identifies solutions independently and with input from internal and external partners, external vendors, and industry contacts to enable best-in-class data management practices, scalability, and cost effectiveness. Leads and consults on new projects to ensure operational readiness upon implementation into the live environment. Participates in special projects and performs other duties as assigned.