Product Manager-Data Quality

Posted 2 Days Ago
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Pittsburgh, PA, USA
In-Office
Senior level
Information Technology
The Role
Own the data quality product portfolio, including data profiling, cleansing, matching, address validation, geocoding, enrichment, monitoring, and compliance products. Lead roadmap strategy, customer discovery, requirements, prioritization, engineering collaboration, releases, adoption, reference data updates, and product KPIs. Drive cloud, API, real-time, and AI-assisted modernization while supporting positioning, pricing, launches, and market analysis.
Summary Generated by Built In
About Innovative Systems
Innovative Systems builds enterprise data quality, address validation, and AML compliance software for Fortune 1000 firms worldwide. Founded in 1968, we are known for fast, accurate, and scalable solutions delivered through our Enlighten, PostLocate, and FinScan brands. We have regional offices in London, Mexico City, Dubai, and
São Paulo, and we have been recognized as a Top Workplace.
The Role
We are hiring an experienced Product Manager to own our data quality portfolio: the Enlighten Data Quality Suite, PostLocate global address validation and geocoding and FinScan™ data-driven compliance products. These products sit underneath some of the largest customer data environments in banking, insurance, retail, and government, and they also power the matching engine behind FinScan. You will also help grow the FinScan portfolio with new DQ-powered compliance products: Validate, Verify, UBO, and KYB.
This is a hands-on role for someone who has shipped data products before and writes requirements engineers actually want to build from. You will turn customer problems into crisp specs, make the call on tradeoffs, and see features through to adoption. If you know the difference between a parse rule and a match rule, have opinions on survivorship, and have lived through a CASS cycle, we want to talk.

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: the knowledgebases, matching algorithms, and APIs that Enlighten, PostLocate, and FinScan all depend on.
  • FinScan data-driven compliance products: an expanding portfolio of FinScan offerings built on the same DQ stack, extending FinScan beyond screening into identity and entity due diligence.
Key Responsibilities
  • Own the DQ roadmap end to end, from discovery and prioritization through release, adoption, and iteration.
  • Write clear, testable requirements: PRDs, epics, user stories, acceptance criteria, and edge cases for matching, parsing, and address logic.
  • Translate customer data problems (duplicate records, bad addresses, broken golden records, failed migrations) into well-scoped product work.
  • Interview customers, data stewards, and implementation teams; map their workflows, requirements and validate problems before committing engineering time.
  • Partner closely 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 of 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 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 turn what you learn into product decisions and strategy.
Required Qualifications
  • 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 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 with technical, commercial, and executive audiences.
  • Up to 10% travel for customer visits and conferences.
 
Preferred Qualifications
  • 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 feeds 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
Based in our World Headquarters, located in Pittsburgh, Pennsylvania with the ability to work a hybrid schedule of 2 days a week at the office. If not based in Pittsburgh, we would also consider remote work options for candidates living in the following areas: Florida, Georgia, Illinois, Maryland, Minnesota, New Jersey, New York, Ohio, Pennsylvania, Texas, and Washington D.C.
Work visa sponsorship is not available. Innovative Systems does not accept unsolicited resumes. Innovative Systems is an Equal Opportunity Employer.
 

Skills Required

  • Bachelor's degree in computer science, engineering, information systems, or equivalent experience
  • 6+ years of product management experience
  • At least 3 years of experience with data quality, MDM, entity resolution, address validation, or data integration products
  • Experience writing detailed product requirements and user stories for engineering teams
  • 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
  • Experience with Enlighten, PostLocate, or comparable data quality tools
  • 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
  • Experience working with postal authorities or reference data vendors
  • Data management credentials such as CDMP or USPS address quality training
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The Company
HQ: Pittsburgh, Pennsylvania
116 Employees
Year Founded: 1968

What We Do

Innovative Systems, Inc. has been a leading provider of high accuracy enterprise data management, risk management solutions, and consulting services to major organizations globally for more than 50 years. The Company’s offerings include: • FinScan® AML compliance solutions • Enlighten® Enterprise Data Quality Suite • Enlighten® PostLocate® global address validation and geocoding solutions (CASS Certified for the US) • Instant 360 View™ • Synchronos® enterprise data management platform • Consulting services in the areas of data governance, data migration planning, auditing, and related customer data management areas Innovative's solutions enable some of the world’s largest organizations to improve target marketing and risk management efforts and provide improved customer service to their millions of customers.

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