Data Owner Associate

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