Join us to shape the future of data at our firm, enabling innovation and business growth through high-quality, well-protected data. As a Vice President Area Data Owner, you’ll have the opportunity to impact business outcomes and advance your career by collaborating with technology and business partners.

As a Vice President Area Data Owner within our team, you will oversee all data created, provisioned, or consumed in key business applications. You will help define and classify critical data, ensuring it supports business objectives, advanced analytics, and AI/ML use cases. You will work closely with technology and business partners to deliver data that meets quality and safety standards, and execute processes to identify, monitor, and mitigate data risks throughout the data lifecycle.

You will serve as a subject matter expert for your business area, collaborating across teams to deliver on strategic objectives. Your leadership will help drive the development of AI-ready data products and ensure compliance with firm policies and standards.

Job ResponsibilitiesBuild and groom the backlog for data delivery teams, defining initiatives and epics to guide work and outcomesDevelop data strategy to define and deliver AI-ready data productsCreate plans to develop and deliver data supporting business operations, strategic objectives, analytics, and AI/ML use casesDocument requirements for data content and quality, coordinating with technology and business partners to deliver on these requirementsDevelop processes and procedures in the data product management lifecycle; identify, monitor, and mitigate data risks across the data lifecycle, including protection, retention, destruction, storage, use, and qualityPartner with technology and business resources to resolve identified data issues in a timely and consistent mannerManage direct or matrixed staff to execute data-related tasksRequired Qualifications, Capabilities, and SkillsSix years of related data management and platform experienceBachelor’s degree required; Master’s degree preferredExpertise in data technologies such as analytics, business intelligence, data analysis, machine learning, data warehousing, data management and governance, data qualityExperience with risk and control requirementsStrong interpersonal and communication skillsGood business acumen and strategic thinkingPreferred Qualifications, Capabilities, and SkillsUnderstanding and practical experience in data engineering and analytics (SQL, Tableau, Alteryx, Spark), machine learning (Python, JupyterLab, LLMs), cloud technologies and their applications (AWS, Snowflake, Databricks)Knowledge of open data standards, data taxonomy and vocabularies, metadata managementAnalytical thinking and problem-solving skills