# Ladders - AVP, Business Intelligence & Analytics Engineering

- JD title: AVP, Business Intelligence & Analytics Engineering
- JD Company: Ladders
- JD url: https://www.linkedin.com/jobs/view/4450495058
- JD Posting date and time: Estimated 2026-08-13 06:53 AM EDT; derived from LinkedIn public value '6 hours ago' at capture time 2026-08-13 12:53 PM EDT
- Number of applicants if available: 25 applicants
- Date and time the resume was generated: 2026-08-13 12:53 PM EDT
- Elapsed time between JD Posting date and time vs the resume generation time: 6 hours, 0 minutes
- JD level: Senior manager / executive management role. The LinkedIn title and JD language indicate Director, Senior Director, VP, Executive Director, AVP, or explicit manager scope with team, stakeholder, transformation, strategy, delivery, architecture, or operating-model leadership responsibilities.
- Compensation: $150,000-$300,000 annually.
- Count and percent of matching Significant keywords in JD vs in resume: 6 JD / 5 resume (83.3%)
- Fit Notes / caveats: Keith marked this below the 'lesser' divider in the request. Ladders appears to be presenting this on behalf of an unnamed client; verify true employer, work model, and sponsorship before applying.
- JD text: See captured JD below.

## Captured JD

For our client, we are seeking a AVP Business Intelligence & Analytics Engineering to join the team of a leader in the Finance & Insurance space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a regulated financial services environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $150,000 – $300,000 annually

 Responsibilities

 Own the enterprise Business Intelligence, Analytics, and Data Products strategy and governance
 Partner with various business leaders to define enterprise KPIs and performance metrics
 Establish data product standards and governance practices for trusted analytics capabilities
 Evaluate and manage analytics technologies and lead build-versus-buy recommendations
 Lead the data science function to drive predictive and prescriptive analytics solutions

 Qualifications

 Bachelor's degree in Computer Science, Statistics, Mathematics, Biomedical Informatics, or related quantitative field is required
 Master's degree or PhD in Data Science, Health Informatics, Applied Statistics, or equivalent preferred
 Ten years of progressive experience in data analytics, data science, or AI/ML engineering required
 Four years in a senior leadership role managing technical teams is required
 Experience in vendor evaluation, contract negotiation, and technology partnership management preferred

 Benefits

 Comprehensive total rewards package to support employee well-being
 Opportunity for bonuses tied to performance
 Encouragement of continuous learning and professional development

 Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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 Seniority level

 Executive

 Employment type

 Full-time

 Job function

 Business Development and Sales

 Industries

 Financial Services

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