Early Warning Services, LLC

Early Warning Services, LLC

Technical Product Manager - Data

Scottsdale, Arizona, USA · Senior · full-time

Sponsorship not specified$94k-$130kDetected 119 days ago
SQLSnowflakeDatabricksPlatform EngineeringData EngineeringProduct ManagementProduct StrategyStakeholder ManagementCommunication

Stay score

odds of building a lasting career here

50Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$66,7261 entry
Level II$91,2912 entries
Level III$115,8773 entries
Level IV$140,4424 entries

$21,877 more — $115,877 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $115,877 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer Occupations, All Other" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Computer Occupations, All Other (15-1299) · Phoenix-Mesa-Chandler, AZ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 43%

Of 7 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 470 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
  • Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire.
  • This position is ineligible for employment Visa sponsorship.

Responsibilities

  • As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.
  • Partner with Data Engineering, Platform Engineering, Analytics, Architecture, Security, and Governance teams to deliver scalable platform capabilities that support enterprise data needs.

Requirements

  • 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.
  • Demonstrated ability to translate complex technical concepts into clear product requirements and business outcomes.
  • Experience with Agile development methodologies and tools such as Jira.
  • Working knowledge of SQL and modern data engineering concepts and workflows.
  • Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently.
  • Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

Nice to have

  • Master's degree in STEM or related field.
  • Prior hands-on experience in Data Engineering, Analytics Engineering, Software Engineering, Data Architecture, or a related technical discipline.
  • Experience designing developer or data platform experiences for technical users.
  • Strong understanding of data governance, metadata management, data quality, lineage, observability, and access management practices.
  • Experience supporting cloud modernization and migration initiatives.
  • Experience with modern cloud data platform architectures and technologies, including platforms such as Snowflake, Databricks, or equivalent data lakehouse, data warehouse, and data engineering ecosystems.
  • Experience working with large-scale distributed data environments.
  • Proven track record of launching and scaling platform capabilities that improve developer productivity and platform adoption.

Compensation

  • AZ/ Chicago, IL in USD per year is:
  • $94,000 - $130,000.
  • San Francisco, CA in USD per year is:
  • $114,000 - $156,000.
  • Additionally, candidates are eligible for a discretionary incentive plan and benefits.
  • This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer.

Company info

  • At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much more.
  • Requires the ability to communicate with internal and/or external customers.

Visa & Work Authorization

  • This position is ineligible for employment Visa sponsorship.

This listing is sourced directly from Early Warning Services, LLC's careers page and normalized into a canonical job model.