Citizens Financial Group

Citizens Financial Group

Head of Enterprise Semantic Analytics & BI Platforms

United States

Sponsorship not specifiedDetected 3 days ago
Data VisualizationLeadershipCommunicationCollaboration

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 51 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 47%

Of 30 labor certifications old enough to have been used, 16 expired without the employer filing the next step. Median time from filing to decision: 496 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.

Files H-1B transfers

25 transfer filings in the last year, covering 25 workers. Median labor-condition decision: 7 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

  • Candidate Profile The ideal candidate is a builder and change agent who has successfully established or transformed enterprise analytics capabilities in a complex organization.
  • Hours & Work Schedule - Hours per Week: 40 - Work Schedule: Monday - Friday - Hybrid: 4 days per week onsite, 1 day remote

Responsibilities

  • Establish and lead the enterprise semantic layer operating model using AtScale.
  • Create a repeatable process spanning business requirements, metric definition, semantic model design, development, validation, certification, deployment, and ongoing management.
  • Establish an auditable and traceable workflow linking requirements, metric definitions, design decisions, development artifacts, validation results, approvals, and production releases.
  • Partner with business stakeholders to translate analytical needs into clearly defined requirements and governed metrics.
  • Drive standardization, reuse, automation, and continuous improvement across the semantic development lifecycle.
  • Partner & Delivery Management
  • Lead the relationship with Tiger Analytics for semantic layer design and development.
  • Establish clear roles, delivery expectations, quality standards, and governance across Citizens and external partner teams.
  • Provide oversight and technical challenge to solution design and development.
  • Leverage Tiger's capabilities and accelerators while simultaneously developing Citizens' internal semantic expertise.

Nice to have

  • Ensure semantic models are scalable, reusable, governed, and aligned with enterprise data standards.
  • Establish the validation and certification framework for semantic models and governed metrics.
  • Ensure results are reconciled with authoritative sources and appropriately validated by business and data owners.
  • Establish controls supporting auditability, traceability, lineage, data quality, approvals, and change management.
  • Establish adoption and value metrics covering utilization, reuse, stakeholder satisfaction, and business outcomes.
  • Establish the architecture, governance, security, controls, and operating model necessary to safely enable conversational access to enterprise data.
  • Ensure NLQ capabilities are grounded in governed semantic models and certified metrics.
  • Define a roadmap for expanding conversational and agentic analytics capabilities across Citizens.

Company info

  • Lead the organizational and process changes necessary to make semantic analytics part of how the business operates.

This listing is sourced directly from Citizens Financial Group's careers page and normalized into a canonical job model.