Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Humana INC paid sponsored hires in similar roles3 certified filings for “Associate Director, Technology Solutions” (Computer and Information Systems Managers) in KY: $154k–$179k, median $162k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 3 certified filings for “Associate Director, Technology Solutions” (Computer and Information Systems Managers) in KY: $154k–$179k, median $162k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
About the role
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The Assistant Vice President, Data & Analytics Portfolio Management will lead the technology
discipline that connects Data & Analytics strategy, portfolio priorities, product management, funding
decisions, and execution. This leader will ensure the D&A organization has clear priorities,
transparent trade-offs, disciplined investment governance, and an operating and execution cadence
that aligns resources to the highest-value work.
This AVP of D&A Portfolio Management will own the enterprise Data & Analytics Portfolio, Product
Management, Planning, and Operating Management function for the CDAO organization, including
the management system that connects strategy, demand, funding, execution, product roadmaps,
operating metrics, and executive decision-making. Success requires direct accountability for D&A
planning and operating discipline, senior-level influence across Technology, Finance, Procurement,
the COO organization, Enterprise AI, HR, and business stakeholders, and the ability to drive cross-
functional decisions that improve focus, execution, financial discipline, and business value realization.
This role will report to the SVP, Chief Data and Analytics Officer and be a critical partner to the
broader Data & Analytics organization, responsible for aligning portfolio priorities, product
management practices, operating discipline, and cross-functional execution across D&A. To deliver
on D&A’s strategic portfolio, improve operating effectiveness, modernize the data and analytics
ecosystem, strengthen governance and security practices, advance organizational maturity, and build
a differentiated talent base, this role will provide direct oversight of the following shared services
across the D&A organization:
• Data & Analytics Portfolio Management
• Lean Business Case Analysis and Development
• Financial Management in partnership with Tech Finance
• Vendor Communications and Change Management
• Op Model Support including Talent Strategy and Management
This role owns the enterprise management system for the Data & Analytics organization, including
portfolio prioritization, product management standards, business case discipline, funding alignment,
operating metrics, vendor coordination, and operating model activation. The role leads an
organization of Directors, Portfolio Leads and Product Managers responsible for translating D&A
strategy into executable priorities, governed investment decisions, measurable product outcomes,
and scalable operating practices across the enterprise.
Key Responsibilities
Responsibilities for this role include leadership of a team responsible for the following:
Data & Analytics Portfolio Management
Own the Data & Analytics portfolio management discipline across intake, prioritization, sequencing,
funding alignment, investment governance, delivery visibility, and executive decision support.
Establish a transparent portfolio framework that connects D&A strategy to execution, clarifies trade-
offs, and aligns resources to the highest-value enterprise priorities. Partner with Enterprise portfolio
teams and the office of the Tech COO. Lead the Data & Analytics product management function and
own the D&A product management op model; ensuring data and analytics products are clearly
defined, governed, prioritized, funded, and measured by adoption, reuse, business value, delivery
progress, and operational health. Establish product management standards, role clarity, roadmap
discipline, lifecycle management practices, and outcome-based metrics across D&A products and
shared capabilities. Coach and enable D&A leaders and product owners to apply consistent product
management discipline across data products, analytics capabilities, shared services, modernization
effor
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