Product Manager, Data Quality

Innovative Systems, Inc.

. Own the data quality roadmap end to end, from discovery and prioritization through release, adoption, and iteration .

Posted 11/11/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management with a focus on data quality, including proficiency in writing detailed requirements and user stories. Capable of driving modernization through cloud and API delivery while managing data quality metrics and collaborating with cross-functional teams.

Highest-signal resume keywords

Product Management ExperienceData Quality ExpertiseUser Story DevelopmentAddress Validation KnowledgeAPI Product Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality Roadmap OwnershipRequirements WritingProfiling and ParsingFuzzy MatchingDeduplication TechniquesAddress ValidationGeocodingKPI TrackingCloud MigrationAI-Assisted Data Cleansing

Soft Skills

Strong Communication Skills

Tools & Technologies

EnlightenPostLocateData Quality SuiteReal-Time ServicesAPI Delivery

Certifications & Qualifications

CDMPUSPS Address Quality Training

Industry Keywords

Financial ServicesInsuranceRegulated IndustriesData ManagementEntity Resolution

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Own the data quality roadmap end to end, from discovery and prioritization through release, adoption, and iteration
Write PRDs, epics, user stories, acceptance criteria, and edge cases for matching, parsing, and address logic
Translate customer data problems into well-scoped product work
Interview customers, data stewards, and implementation teams to map workflows and validate problems
Partner with engineering and QA on design, sprint planning, backlog grooming, and release readiness
Manage the PostLocate reference data lifecycle, including postal data updates, country coverage, and certification timelines
Drive modernization through cloud and API delivery, real-time services, and AI-assisted matching and cleansing
Define and track KPIs including match accuracy, false match and missed match rates, address validation rates, throughput, latency, and customer adoption
Work with sales, marketing, and services on positioning, pricing input, launch readiness, demos, and enablement
Track DQ, MDM, and address verification markets and inform product decisions and strategy
Own products including the Enlighten Data Quality Suite, PostLocate address validation and geocoding, shared DQ engine, and FinScan data-driven compliance products

Requirements

What you’ll need

Bachelor's degree in computer science, engineering, information systems, or equivalent experience
6+ years of product management experience, with at least 3 years on data quality, MDM, entity resolution, address validation, or data integration products
Proven track record writing detailed requirements and user stories that engineering teams build from with minimal back and forth
Working knowledge of profiling, parsing, standardization, fuzzy and probabilistic matching, deduplication, householding, and survivorship or golden record logic
Familiarity with address validation and geocoding, including USPS CASS, DPV, and international postal data
Strong communication skills with technical, commercial, and executive audiences
Up to 10% travel for customer visits and conferences
Hands-on experience with Enlighten, PostLocate, or comparable tools is preferred
Experience with high-volume batch and real-time API products, including mainframe or on-premise to cloud migrations is preferred
Exposure to AI or ML in matching, entity resolution, or data cleansing workflows is preferred
Background in financial services, insurance, or other regulated industries is preferred
Experience working with external data providers such as postal authorities or reference data vendors is preferred
Data management credentials such as CDMP, or USPS address quality training is preferred
Work visa sponsorship is not available

Benefits

Comp & perks

Excellent benefits package
Hybrid work schedule of 2 days a week at the office for Pittsburgh-based candidates
Remote work options for candidates living in Florida, Georgia, Illinois, Maryland, Minnesota, New Jersey, New York, Ohio, Pennsylvania, Texas, and Washington D.C.