Rangam Consultants

Rangam Consultants

Program Manager (Data & Analytics)

Menlo Park, San Mateo County

Sponsorship not specifiedDetected 143 days ago
Data EngineeringAgileStakeholder ManagementLeadershipCommunication

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

33% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 4 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Abbott Laboratories · Abbott Point of Care · AbbVie, Inc.

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 10 days. An employer that already files transfers is one that can take over an existing H-1B.

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.

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About the role

  • Role: Program Manager — IDC Leadership Dashboard (ILD) 5-7 Years of experience required Onsite - 3 Days minimum required in MPK Top 3 must-have HARD skills: Experience managing data platform or BI/analytics dashboard programs Proficiency with Agile/Scrum methodologies (backlog grooming, sprint planning, daily standups) Strong stakeholder communication
  • skills, especially with senior/executive leadership Familiarity with data infrastructure concepts (Presto, Hive, dashboards, data pipelines) Trac…
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This listing is sourced directly from Rangam Consultants's careers page and normalized into a canonical job model.