Join us to shape the future of data-driven innovation and business growth. As a Vice President Area Data Owner, you will play a pivotal role in enabling advanced analytics, AI/ML, and strategic business objectives. Experience career mobility and collaborate with talented teams to deliver impactful data solutions.
As a Vice President Area Data Owner within our data management team, you will oversee all data created, provisioned, or consumed in key business applications. You will help define and classify critical data, ensuring it meets quality and safety standards. You will collaborate with technology and business partners to deliver data that supports business operations, analytics, and AI/ML use cases. Your work will help drive faster innovation and support the firm’s strategic agenda.
You will execute processes and procedures to identify, monitor, and mitigate data risks throughout the data lifecycle, ensuring compliance with firm policies and standards. This role offers the opportunity to work with cutting-edge technologies and contribute to the development of AI-ready data products.
Job Responsibilities
- Build and groom the backlog for data delivery teams, defining initiatives and epics to guide work and outcomes
- Develop data strategy to deliver AI-ready data products
- Create plans to develop and deliver data supporting business operations, strategic objectives, analytics, and AI/ML use cases
- Document requirements for data content and quality, coordinating with technology and business partners
- Develop processes and procedures in the data product management lifecycle, identifying, monitoring, and mitigating data risks
- Partner with technology and business resources to resolve data issues promptly and consistently
- Manage direct or matrixed staff to execute data-related tasks
Required Qualifications, Capabilities, and Skills
- Six years of related data management and platform experience
- Bachelor’s degree required
- Expertise in data technologies including analytics, business intelligence, data analysis, machine learning, data warehousing, data management and governance, data quality
- Experience with risk and control requirements
- Strong interpersonal and communication skills
- Good business acumen and strategic thinking
Preferred Qualifications, Capabilities, and Skills
- Understanding 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 management
- Analytical thinking and problem-solving skills