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Product Manager -Data Quality

Innovative Systems Remote 🌍 Remote

Remote

Today

Full time Data Quality Data Quality Product Product Management

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Job Description

Innovative Systems is hiring an experienced Product Manager to lead end-to-end ownership of its data quality portfolio, spanning product roadmap, requirements, KPIs, and modernization.

Responsibilities

Own the data quality (DQ) roadmap end to end, from discovery and prioritization through release, adoption, and iteration.
Produce clear, testable requirements including PRDs, epics, user stories, acceptance criteria, and edge cases for matching, parsing, and address logic.
Turn customer data issues (duplicate records, bad addresses, broken golden records, failed migrations) into well-scoped product work.
Interview customers, data stewards, and implementation teams; map workflows and requirements, validate problems, and confirm scope before engineering time.
Collaborate with engineering and QA on design, sprint planning, backlog grooming, and release readiness.
Manage the reference data lifecycle for PostLocate, including postal data updates, country coverage, and certification timelines.
Drive modernization across the suite: cloud and API delivery, real-time services, and AI-assisted matching and cleansing.
Define and track product KPIs such as match accuracy, false match rate, missed match rate, address validation rate, throughput, latency, and customer adoption.
Partner with sales, marketing, and services on positioning, pricing input, launch readiness, demos, and enablement.
Monitor DQ, MDM, and address verification markets and convert findings into product decisions and strategy.

What you will own

Enlighten Data Quality Suite: profiling, cleansing and standardization, match and link (entity resolution), enrichment, and ongoing data monitoring.
PostLocate: global address validation, parsing, standardization, and geocoding, including CASS certification and USPS data (DPV, LACSLink, SuiteLink) for the US.
Shared DQ engine: knowledgebases, matching algorithms, and APIs used by Enlighten, PostLocate, and FinScan.
FinScan data-driven compliance products: an expanding portfolio built on the same DQ stack, extending FinScan beyond screening into identity and entity due diligence.
FinScan expansion: help grow new DQ-powered compliance offerings including Validate, Verify, UBO, and KYB.

Requirements

Bachelor’s degree in computer science, engineering, information systems, or equivalent experience.
6+ years of product management experience, including at least 3 years in data quality, MDM, entity resolution, address validation, or data integration products.
Proven ability to write detailed requirements and user stories engineering teams can build from with minimal back and forth.
Working knowledge of core DQ concepts: 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 across technical, commercial, and executive audiences.
Up to 10% travel for customer visits and conferences.

Technologies

USPS CASS
DPV
LACSLink
SuiteLink
AI-assisted matching and cleansing

Preferred qualifications

Hands-on experience with Enlighten, PostLocate, or comparable tools (Informatica Data Quality, Experian Aperture, Melissa, Loqate, Precisely, 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.

Location

World Headquarters in Pittsburgh, Pennsylvania with ability to work a hybrid schedule of 2 days a week in the office.
Remote options considered for candidates living in: Florida, Georgia, Illinois, Maryland, Minnesota, New Jersey, New York, Ohio, Pennsylvania, Texas, and Washington D.C.
Remote workplace: Remote (remote).

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