Product Manager -Data Quality
- Full Time
About the role
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
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.
- 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
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.
- 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 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.
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.