Lead Product Manager – Servicing and Collections Data

Wells Fargo

. Define and execute the Servicing and Collections data product strategy, roadmap, and investment priorities .

Posted 10/5/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing data product strategies, leading cross-functional teams, and ensuring data quality and governance across servicing and collections domains. Proficient in leveraging analytics and AI to drive product adoption and business value.

Highest-signal resume keywords

Product ManagementData GovernanceSQL ProficiencyData Quality MeasuresCloud Data Modernization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Product StrategyData Integration PatternsOperational Data NeedsAnalytical Data NeedsData LineageData OwnershipData Quality ExpectationsData ModelsFeature DevelopmentMachine Learning Support

Soft Skills

Analytical SkillsFacilitation SkillsWritten CommunicationExecutive Presentation Skills

Industry Keywords

Lending OperationsServicingCollectionsRegulatory LandscapeData Governance Requirements

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Define and execute the Servicing and Collections data product strategy, roadmap, and investment priorities
Lead a prioritized domain data baseline across Servicing and Collections
Lead development of reusable operational and analytical data products
Establish ownership, purpose, permitted uses, definitions, quality expectations, support, limitations, and change notifications for data products
Partner with domain leaders, data stewards, engineering, and architecture on standards for data events, metadata, data contracts, lineage, and publishing
Drive prioritization and migration of data capabilities to the Authoritative Data Store and cloud-aligned solutions
Improve data quality, consistency, timeliness, and traceability by defining expectations, surfacing issues, assigning ownership, and prioritizing remediation
Work with analytics and AI partners to identify approved data for reporting, feature development, model training, and AI-enabled experiences
Partner with Risk, Compliance, Legal, Privacy, and Information Security on data access, permitted use, retention, security, and governance
Align stakeholders across servicing, collections, recovery, communications, and digital initiatives on definitions, sequencing, dependencies, and tradeoffs
Lead discovery with data producers and consumers and translate business problems into product opportunities and delivery outcomes
Guide Product Owners and delivery teams on priorities and acceptance expectations
Define measures of product adoption, data reliability, reuse, and business value; review results and adjust the roadmap
Communicate strategy, progress, risks, decisions, and value to senior leaders and cross-functional partners
Mentor less experienced product colleagues as appropriate

Requirements

What you’ll need

5+ years of Product Management, product development, strategic planning, process management, change delivery experience, or equivalent demonstrated through work experience, training, military experience, or education
5+ years of experience leading a data product or data platform portfolio across multiple business domains, with accountability for strategy, prioritization, delivery, adoption, and value measurement
5+ years of experience working with data models, source-to-consumer flows, data integration patterns, operational and analytical data needs, or data quality measures
Experience using SQL or similar tools to investigate and validate data
3+ years of experience defining data products, including business definitions, ownership, metadata, lineage, access requirements, and data quality expectations
5+ years of experience partnering with product, engineering, architecture, operations, data governance, risk, compliance, privacy, or information security teams
Experience with domain-oriented data governance, cloud data modernization, enterprise data stores, event-driven integration, or reusable data services
Experience supporting analytics, machine learning, or generative AI use cases through governed, fit-for-purpose data
Knowledge of lending operations, including servicing and collections, and familiarity with the regulatory landscape and data governance requirements
Strong analytical, facilitation, written communication, and executive presentation skills
Ability to travel up to 10% of the time
This position is not eligible for visa sponsorship

Benefits

Comp & perks

Ability to travel up to 10% of the time
Hybrid work schedule
Equal opportunity employment
Medical accommodations available upon request
Drug-free workplace