Sr. Data Product Owner, AI Engineering

Data Product Owner Senior

Location: 4910 Tiedeman Road, Brooklyn Ohio

About the Role

KeyBank is seeking a talented, analytical, and results-driven Data Product Owner Senior to support strategic AI Engineering initiatives within the Enterprise Data & Analytics Services (EDAS) organization. This role will own and evolve data products that enable AI-powered engineering capabilities—transforming software development signals into trusted insights that improve developer experience, efficiency, and business outcomes.

The Data Product Owner Senior will apply strong strategic, analytical, and product ownership skills to guide the full lifecycle of complex data products. This role partners closely with AI Engineering, data engineering, platform teams, and business stakeholders to ensure data products are well-instrumented, governed, and adopted across the organization.

Key Responsibilities

• Contribute to and own the data strategy for AI Engineering–aligned data products, ensuring alignment with enterprise and line-of-business objectives
• Translate engineering and business goals into clear data requirements, metric definitions, and success criteria
• Oversee the end-to-end lifecycle of data products, from ideation and development through execution, adoption, and continuous improvement
• Partner with AI Engineering and platform leads to define and evolve the instrumentation strategy for software development and AI-enabled capabilities
• Collect, integrate, and curate data from sources such as CI/CD pipelines, code repositories, issue trackers, observability/APM tools, and service catalogs into coherent, queryable data products
• Build and maintain dashboards and analytic assets that provide actionable insights for engineering teams and leaders
• Promote a data-informed feedback loop to guide product direction, adoption, and ongoing optimization
• Collaborate with business and technology stakeholders to prioritize quarterly and annual roadmaps aligned to business outcomes
• Balance new instrumentation and feature development with data quality, coverage, and technical constraints
• Manage the day-to-day execution of data products, proactively identifying risks, dependencies, and blockers
• Facilitate collaboration across EDAS, AI Engineering, technology teams, and lines of business to ensure data products are effectively integrated and broadly adopted
• Partner with other Product Owners across EDAS and LOBs to influence strategy and feature prioritization based on evolving data needs
• Establish and uphold data governance standards, including consistent definitions, lineage documentation, access controls, and sensitive data handling
• Ensure data products comply with regulatory requirements, internal policies, and privacy standards, including role-based access and appropriate anonymization

Qualifications

• Bachelor's degree in Science, Technology, Engineering, Mathematics, Computer Science, or an equivalent combination of education and experience
• 7+ years of experience in financial services, banking, FinTech, or a related industry
• Prior experience as a Product Owner or Data Product Owner, with responsibility for managing complex, cross-functional initiatives
• Strong strategic, analytical, and problem-solving skills, with the ability to operate effectively amid ambiguity and incomplete information
• Demonstrated expertise in requirements elicitation, documentation, and stakeholder communication across both business and technical audiences
• Proven ability to lead and influence cross-functional teams, including in matrixed environments without formal authority
• Experience managing multiple concurrent initiatives in a fast-paced, results-driven environment
• Familiarity with software engineering data, analytics, observability, or AI-enabled development tools is a strong plus

Why Join Us?

• Opportunity to work on cutting-edge data products that will shape the future of data use across Finance and the enterprise.
• Collaborative and innovative environment with strong focus on know your data, trust your data, enable the enterprise.
• Competitive compensation, benefits, and career growth opportunities.

Training as required. Standard enterprise-wide compliance training is required.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing View email address on click.appcast.io.