below marketmost similar roles pay hereabove market
This role pays less than
96%
of similar roles. Most pay
$167,037–$219,737
— the blue band above.
At the midpoint, this role pays about
$126k
versus about
$193k
for comparable roles.
Based on 240 similar postings.
Employer
About Early Warning Services
Early Warning Services is a fintech company that operates the Zelle person-to-person payments network, the Paze digital checkout wallet, and Certos fraud prevention and identity risk solutions for financial institutions.
Early Warning Services currently has
84 open roles
on FindRole.
Listed pay typically runs
$145,000–$176,000
across 34 roles with salary data.
The Technical Product Manager - Data joins the Data & AI team to define and deliver next-generation enterprise data platform capabilities. This role involves driving the vision, roadmap, and execution of internal-facing platform products that allow various organizational teams to discover, access, govern, curate, process, deploy, and observe data applications at scale. You will build self-service workflows to improve developer productivity and strengthen governance while translating enterprise needs into scalable platform capabilities. Key responsibilities include managing data ingestion, metadata, and observability while ensuring security and compliance. You will utilize SQL and modern data engineering concepts, working with tools like Jira. The role addresses the technical challenge of creating a reliable, intuitive, and secure data ecosystem that supports analytics, reporting, and data-driven decision-making across the entire enterprise.
What does a Technical Product Manager earn?
Median $185775 from 42 postings across 19 companies.
Execute the product roadmap for enterprise data platform capabilities including ingestion, curation, governance, and observability.
Translate user needs from data engineers, analysts, and scientists into technical platform requirements and product enhancements.
Drive the design and adoption of self-service workflows for onboarding data, discovering datasets, and managing access.
Define and prioritize product requirements to improve platform usability, reliability, scalability, and operational efficiency.
Establish success metrics to measure platform performance through adoption, user satisfaction, and business impact outcomes.
Partner with engineering teams to define standards, reusable frameworks, and platform patterns that accelerate delivery.
Embed data governance, lineage, metadata management, and security requirements into all platform capabilities and workflows.
Identify opportunities for automation, standardization, and process improvements across the entire data lifecycle.
What we're looking for
Candidates must independently possess the eligibility to work in the United States.
Completion of a bachelor's degree in STEM, Computer Science, Information Systems, Engineering, or a related field.
5+ years of experience in Product Management, Data Product Management, Platform Product Management, Data Engineering, Analytics Engineering, or related disciplines.
3+ years of experience working directly with technical teams such as Data Engineering, Platform Engineering, Software Engineering, Analytics Engineering, or Data Architecture.
Experience delivering internal platforms, developer tools, data products, or enterprise technology capabilities.
Strong understanding of modern data platform concepts including data pipelines, data lakes/warehouses, orchestration, metadata, governance, observability, data quality, code management, and application deployment.
Working knowledge of SQL and modern data engineering concepts and workflows.
Master's degree in STEM or related field (preferred).
SQL
Python
Snowflake
AWS Data Lake
Agile
Scrum
Kanban
SAFe
Data Modeling
Data Engineering
Jira
JIRA Align
Data Warehouse
Generative AI
Product Analytics
Python
SQL
PySpark
Jira
Jira Align
Agile
Kanban
APIs
JSON
Data Modeling
Data Lake
Generative AI
Data Pipelines
Apache Iceberg
Data Mesh
Data Governance
Java
Spring Boot 3.x
Spring Cloud
Spring Security
WebFlux
GraphQL
Kafka
OpenTelemetry
OAuth2
OIDC
mTLS
JWT
Resilience4j
Spring Data JPA
R2DBC
REST
Avro
Protobuf
SRE