Jobs / United States / Humana INC
Business Intelligence Lead
Humana INC · 🇺🇸 Remote Nationwide · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 130 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Humana INC paid sponsored hires in similar roles4 certified filings for “Senior Business Intelligence Engineer” (Data Scientists) in KY: $105k–$141k, median $105k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Humana INC
The US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 130 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Humana INC →
About the role
Become a part of our caring community The Provider Data Business Intelligence Lead is an experienced data analytics and business intelligence professional responsible for advancing provider data transparency, governance, operational enablement, automation, controls, and performance measurement. You will lead the collection, integration, analysis, visualization, and interpretation of complex data. This data includes provider, customer service, claims, enrollment, and operational information. The goal is to produce actionable business insights that support enterprise strategy and improve consumer and provider experiences. The Provider Data Business Intelligence Lead serves as a strategic advisor to operational leadership, identifying key areas of focus, defining success metrics, measuring attainment, and enabling data-driven decision-making across business functions. You will work independently with broad latitude, exercising sound judgment on complex issues that require analysis of variable factors and determination of the best course of action. This position is critical to strengthen data stewardship and controls, reducing process inefficiency, inconsistent performance and increasing automation. The position will also identify and advance value-driven automation strategies, including artificial intelligence, robotic process automation, bots, automated quality controls, and other operational enablement solutions. KEY ACCOUNTABILITIES 40% Lead automation and workflow enablement initiatives by identifying opportunities to reduce manual work through process modification, AI, RPA, bots, and automated toolsets; partner with technology and operations teams from evaluation through implementation; measure realized benefits such as efficiency, quality, cost avoidance, and cycle-time reduction; and deliver scalable, governed data solutions and leadership insights that reduce reliance on manual or inconsistent processes. 25% Lead data stewardship and governance for provider data by defining, validating, monitoring, and documenting data journeys, business rules, quality standards, and controls; improving data transparency, accuracy, and accountability; overseeing automated data quality monitoring and remediation 20% Conduct complex data analysis to support business operations, leadership requests, audits, investigations, and strategic initiatives; identify trends, root causes, and improvement opportunities; and translate ambiguous business questions into actionable insights. 15% Develop and required reporting, including business intelligence dashboards, visualizations, scorecards, recurring reports, and executive-level reporting while ensuring accurate, timely, and audit-ready outputs through strong stakeholder partnership, validated data sources, and effective reporting controls while ensuring reporting and analytics processes align with enterprise governance, compliance, privacy, and security requirements. This role description in no way states or implies that the key accountabilities above are the only ones being performed by the individual(s) with this role description. The individual(s) may be called upon and required to follow other instructions or perform other duties and tasks requested by his or her supervisor, consistent with the purpose of the position, department and/or company objectives. Use your skills to make an impact Required Qualifications • Bachelor's degree or equivalent experience in data analytics, business intelligence, information systems, healthcare, business, statistics, computer science, or a related field • 10 or more years of experience in data analysis, business intelligence, reporting, or analytics • Advanced experience working with large, complex enterprise datasets • Strong ability to analyze data