We are on an exciting journey to improve the quality and accessibility of our data to empower business users to make nimble meaningful business decisions utilizing data. To accomplish this, we are looking to hire an individual with commercial lending business and operations knowledge. The ideal candidate will have knowledge on how deals are originated, booked, and serviced. This role is ideal for a banking professional who hasknowledge of loan origination, underwriting, servicing, and portfolio managementand who is motivated to improve the quality and usability of the data that supports those processes.

This is not a technical or analytics role. The selected candidate will act as a business subject matter expert, partnering with the front office and operations teams to improve the clarity, controls, and quality of our commercial lending data.

This role is expected to act as a team lead; prior leadership experience is beneficial.

Key Responsibilities

• Serve as the business steward and point of accountability for critical data elements across the commercial lending domain (e.g., borrower, facility, collateral, pricing, covenants, exposure)
• Define and maintain clear business definitions, usage rules, and ownership for commercial loan data
• Ensure data reflects the true business intent and operating reality of commercial lending products and processes
• Identify where process gaps, manual workarounds, or inconsistent practices lead to data quality issues
• Partner with business and operations teams to improve upstream processes that produce loan data
• Help prioritize and resolve data issues that impact reporting, client experience, risk management, or regulatory obligations
• Translate business requirements and pain points into clear, actionable guidance for downstream consumers of loan data
• Participate in data governance forums related to commercial lending
• Support data quality monitoring, rootcause analysis, and issue remediation efforts
• Improve transparency and confidence in how commercial loan data is sourced, defined, and used across the organization

Qualifications

• 5+ years of experience in commercial lending, such as origination, underwriting, credit administration, loan operations, portfolio management, or commercial credit risk
• Handson knowledge of the endtoend commercial loan lifecycle and related processes
• Ability to explain lending concepts clearly to both business and nonbusiness audiences
• Strong collaboration, influence, and problemsolving skills
• Excellent communication and stakeholder management skills
• Detail-oriented with a strong sense of accountability

Preferred Skills

• Exposure to data quality, process improvement, or control environments (formal or informal)
• Comfort working across teams and driving change without direct authority
• Curiosity and passion for improving how business data is created and used
• Team lead or people management experience a plus

What this role is not

• Not a data engineering, analytics, or technical role
• No prior data experience or data background is required
• No coding, modeling, or system development responsibilities
• No requirement for formal data management experience

Education

• Bachelor's degree in or a closely-related discipline, or an equivalent combination of formal education and experience

The typical base pay range for this role is between $105K - $130K depending on job-related knowledge, skills, experience, and location. This role may also be eligible for certain discretionary performance-based bonuses and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.