KeyCorp is looking to enhance its digital data ecosystem to ensure data is complete, high-quality, and accessible for reporting, analytics, and AI initiatives, thereby enabling data-driven decision-making and innovation.
Requirements
- Hands-on experience with digital data platforms, ETL processes, and data governance frameworks
- Strong understanding of data architecture, APIs, and integration patterns
- Proficiency in SQL, Python, or similar programming languages for data manipulation and analysis
- Familiarity with data cataloging, observability tools, and metadata management
- Experience enabling data for AI and advanced analytics projects (preferred)
- Knowledge of digital experience platforms such as Adobe Analytics, FullStory, or similar tools (preferred)
Responsibilities
- Assess the current digital data landscape to identify gaps in coverage, quality, and accessibility
- Develop and implement strategies to ensure the availability of digital data aligned with business needs
- Partner with KTOS and other stakeholders to enable digital data for reporting, analytics, and AI use cases
- Establish standards and processes for data quality, completeness, and observability
- Monitor data pipelines and ensure compliance with governance, security, and privacy requirements
- Enhance metadata, data lineage, and documentation for digital data assets to improve transparency and usability
- Develop dashboards, catalogs, and documentation to promote data discoverability and literacy within the organization
Other
- Minimum of 4+ years experience in data engineering, data product management, or analytics roles
- Bachelor’s degree in Computer Science, Data Science, or related field; Master's degree preferred
- Excellent communication skills to effectively bridge technical and business requirements
- Flexible work arrangements supporting work-life balance
- Inclusive and collaborative workplace culture that values diversity and innovation
