Data Owner Senior 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 6+ years of experience in data delivery, analytics enablement, data governance, or adjacent roles
• Proficient in 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

• Use Python or ETL tooling for profiling, wrangling, and repeatable data quality checks

• Use of Github Copilot or Claude is a bonus