Data Owners are needed to drive data excellence through strategic ownership and technical innovation.
As a Data Owner Senior Associate within Consumer & Community Banking - Data & Analytics team, you will be responsible for end-to-end enablement, publishing, and governance for all data created. You help define and document product data - business definitions, metadata, classifications, and quality expectations - so it is discoverable, understood, and fit for purpose. You assist with monitoring, issue management, and cross-functional coordination to improve data quality and reduce data risk across the lifecycle.
Job responsibilities
- Support the product's data agenda across creation, ingestion, publishing, and consumption
- Assist in establishing data quality requirements and monitoring for accuracy, completeness, timeliness, and lineage.
- Support delivery of data pipelines and products by tracking dependencies, coordinating handoffs, and reinforcing Agile execution across workstreams.
- Document business definitions, metadata, and classifications so critical data is discoverable and consistently understood
- Maintain data governance artifacts such as inventories, controls evidence, and procedures to support ongoing compliance and audit readiness
- Perform data profiling and validation to identify anomalies, gaps, and trends impacting downstream use
- Partner with technology and data delivery teams to support root cause analysis and remediation execution
- Communicate updates, risks, and decisions through well-structured documentation and stakeholder routines.
- Build Artificial Intelligent (AI) solutions that maximize data governance efficiencies
- Contribute to continuous improvement by identifying process bottlenecks and proposing pragmatic fixes
Required qualifications, capabilities, and skills
- Bachelor's degree with 3+ years of experience in data delivery, analytics enablement, data governance, or adjacent roles
- Proficientin SQL to analyze data, validate quality, and support investigations across relational or big data platforms
- Demonstrate ability to execute reliably in a fast-paced, stakeholder-rich environment with clear follow-through
- Communicate effectively with both technical and non-technical partners via written updates and presentations.
- Think analytically, breaking down ambiguous problems into actionable steps and measurable outputs
- Manage multiple priorities with strong organization, attention to detail, and time management
- Learn quickly and apply feedback to improve deliverables and operating routines.
- Demonstrate understanding of data governance, data ethics, and responsible data use in regulated environments
- Embrace a growth mindset and continuous learning of modern data patterns and tooling
- Experience creating rapid results with prompts in Large Language Models (LLM)
Preferred qualifications, capabilities, and skills
- Bring experience in financial services, wealth management, or client/advisor data domains
- Utilize data catalogs, lineage tools, and data quality monitoring solutions
- Apply experience working with Agile teams and participating in ceremonies (planning, standups, retrospectives, etc.)
- Leverage exposure to CRM and sales platforms (e.g., Salesforce) and related data flows