Product Manager -Data Quality

Innovative Systems•Pittsburgh, PA

10h•Hybrid

About The Position

Innovative Systems is hiring an experienced Product Manager to own its data quality portfolio, including the Enlighten Data Quality Suite, PostLocate global address validation and geocoding, and FinScan data-driven compliance products. The products support large customer data environments in banking, insurance, retail, and government, and power the matching engine behind FinScan. The role will also help expand FinScan with DQ-powered compliance products, including Validate, Verify, UBO, and KYB. This is a hands-on product role focused on turning customer problems into clear, buildable requirements, making product tradeoffs, and guiding features through adoption. The Product Manager will own the DQ roadmap and shared data quality engine, manage PostLocate reference data and postal certification timelines, drive modernization, define product KPIs, and collaborate with customers and internal teams across engineering, QA, sales, marketing, and services. The position is based at the Pittsburgh headquarters with a hybrid schedule of two office days per week; remote candidates may be considered in specified states and Washington, D.C. Travel of up to 10% is required.

Requirements

Bachelor's degree in computer science, engineering, information systems, or equivalent experience.
At least 6 years of product management experience, including at least 3 years working on data quality, MDM, entity resolution, address validation, or data integration products.
Proven ability to write detailed requirements and user stories that engineering teams can build from with minimal back and forth.
Working knowledge of data quality concepts, including 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.
Ability to travel up to 10% for customer visits and conferences.

Nice To Haves

Hands-on experience with Enlighten, PostLocate, or comparable tools such as Informatica Data Quality, Experian Aperture, Melissa, Loqate, Precisely, or SAS DataFlux.
Experience with high-volume batch and real-time API products, including mainframe or on-premise to cloud migrations.
Exposure to AI or ML in matching, entity resolution, or data cleansing workflows.
Background in financial services, insurance, or other regulated industries where data quality supports KYC, AML, or reporting.
Experience working with external data providers such as postal authorities or reference data vendors.
Data management credentials such as CDMP, or USPS address quality training.

Responsibilities

Own the data quality roadmap end to end, from discovery and prioritization through release, adoption, and iteration.
Write clear, testable 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; map workflows and requirements, and validate problems before committing engineering time.
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 of the suite, including cloud and API delivery, real-time services, and AI-assisted matching and cleansing.
Define and track product 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 the DQ, MDM, and address verification markets and use findings to inform product decisions and strategy.
Own the Enlighten Data Quality Suite, covering profiling, cleansing and standardization, match and link (entity resolution), enrichment, and ongoing data monitoring.
Own PostLocate global address validation, parsing, standardization, and geocoding, including CASS certification and U.S. USPS data such as DPV, LACSLink, and SuiteLink.
Own the shared DQ engine, including the knowledgebases, matching algorithms, and APIs used by Enlighten, PostLocate, and FinScan.
Help grow FinScan data-driven compliance products that extend beyond screening into identity and entity due diligence.