Bulge Bracket Investment Banks

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**Data Product Owner - Vice President** Oversee data in key business applications, define critical data, and ensure quality standards. Collaborate with tech & business partners to deliver data supporting business operations, analytics, and AI/ML use cases. Mitigate data risks throughout its lifecycle. 8+ years in data field required; understand data management, architecture, and Agile delivery. Influence stakeholders, manage multiple workstreams, and drive business outcomes in Business Banking. Bachelor's degree mandatory; MS preferred.

Compensation: Not specified USD
City: Not specified
Country: United States

Full Job Description

Location: Columbus, OH, United States

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 firms 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
Bachelors 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

Data Owner Lead - Business Banking

Full Job Description

Location: Columbus, OH, United States

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
Bachelors 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

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Full Job Description

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