Product Manager -Data Quality

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).