Join us to shape the future of data-driven innovation and business growth in Business Banking. You will play a pivotal role in enabling advanced analytics, AI/ML, and strategic business objectives. You will have the opportunity to collaborate with talented teams to deliver impactful data solutions and experience career mobility.
As a Data Product 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'll 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 you the opportunity to work with cutting-edge technologies and contribute to the development of AI-ready data products.
Job Responsibilities:
- Create and execute plans for the development and delivery of Business Banking product data to support business objectives, operations, analytics, metrics, and reporting
- Serve as the Business Banking data subject matter expert and deliver AI-ready data products
- Define the scope of critical data elements for the product and ensure they are documented, understood, and appropriately classified with metadata
- Partner across business teams to define data requirements, support data discovery, and assess feasibility and dependencies
- Partner with analytics leadership to identify data needed for analytics platforms and initiatives that drive business outcomes
- Define and document expectations for data accuracy, completeness, and timeliness, and coordinate delivery of agreed data quality outcomes
- Influence partners to remediate data issues quickly, balancing urgency with risk management and sustainability
- Establish processes to identify, monitor, and mitigate data risks across the data lifecycle, including protection, retention, storage, use, quality, and disposition
- Drive execution of work required to meet firmwide data integrity and protection standards, coordinating across stakeholders
- Build strong working relationships with business, technology, analytics, operations, and risk and control partners to align delivery and outcomes
- Track milestones, risks, bottlenecks, workstreams, and key performance indicators to ensure successful delivery of data outcomes; lead direct or matrixed team members as needed
Required Qualifications, Capabilities, and Skills
- 8+ years of experience in a data-related field
- Experience managing delivery across multiple workstreams with varying timelines
- Demonstrated expertise in product or business data and related processes
- Working knowledge of data management and data governance concepts
- Understanding of modern data platforms and/or data architecture concepts
- Proven ability to deliver outcomes through strong internal partnerships and influence without authority
- Strong communication skills, including the ability to explain complex technical topics to senior audiences
- Strong structuring and problem-solving skills with sound business judgment
- Understanding of Agile delivery practices and ways of working
- Experience with risk and control requirements
- Bachelor’s degree required
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
- Master's degree