Sr. Data Product Owner, AI Engineering

Location:

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 capabilitiestransforming 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 Engineeringaligned 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

• Bachelors 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 Provided

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

COMPENSATION AND BENEFITS

Please click here for a list of benefits for which this position is eligible.

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.

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