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Vp Avp Jobs (NOW HIRING)

LRES Corporation

$240 - $260/hr

No Job Summary The Assistant Vice President ( AVP ) for Development provides strategic leadership for key centralized fundraising functions, including Gift Planning, Corporate and Foundation ...

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$157.5K

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How much do vp avp jobs pay per year?

As of Aug 18, 2026, the average yearly pay for vp avp in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What is a VP?

VP stands for Vice President and AVP stands for Assistant Vice President. These are mid-to-senior level management roles found in many organizations, especially in banking, finance, and corporate settings. A VP typically oversees a department or business unit, sets strategic goals, and manages teams, while an AVP usually supports the VP and may manage smaller teams or specific projects. The specific responsibilities can vary depending on the industry and company size, but both roles involve significant leadership and decision-making responsibilities.

How do vice presidents and assistant vice presidents typically collaborate with other departments within an organization?

VPs and AVPs frequently work across departments to align strategies and ensure the organization's goals are met. They are often involved in cross-functional meetings, project oversight, and decision-making processes that require input from various teams such as finance, operations, HR, and marketing. Effective collaboration involves clear communication, negotiation, and sometimes conflict resolution to balance priorities and drive projects forward. This interdepartmental collaboration not only strengthens business outcomes but also offers VPs and AVPs a broad perspective on the organization’s operations and growth opportunities.

What are the key skills and qualifications needed to thrive as a VP or AVP, and why are they important?

To thrive as a VP or AVP, you need strong leadership, strategic planning, and financial acumen, typically backed by an advanced degree in business or a related field and significant management experience. Familiarity with enterprise resource planning (ERP) systems, financial modeling tools, and industry-specific software is often required. Exceptional communication, decision-making, and team-building skills help you influence stakeholders and drive organizational goals. These skills ensure effective leadership, sound business decisions, and sustained organizational growth at the executive level.

What is the difference between Vp Avp vs Director?

AspectVP/AVPDirector
CredentialsTypically requires extensive experience, advanced degrees, and industry certificationsUsually requires relevant experience and sometimes certifications, but less senior than VP/AVP
Work EnvironmentStrategic leadership, high-level decision making, overseeing multiple teams or departmentsOperational management, project oversight, and team leadership within a specific department
Employer & Industry UsageCommon in banking, finance, insurance, and large corporationsWidely used across industries for senior management roles, often reporting to VPs or AVPs

VP/AVP roles are more senior, focusing on strategic leadership and broad oversight, while Directors handle day-to-day operations and departmental management. The VP/AVP position typically involves higher responsibility, broader scope, and more influence on company strategy.

What are the most commonly searched types of Avp jobs?

The most popular types of Avp jobs are:

Vp Avp jobs near you
Infographic showing various Vp Avp job openings in the United States as of July 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 83% Physical, 9% Hybrid, and 8% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Analytics Engineer, Assistant Vice President (AVP)

TSG Risk Management

New York, NY • On-site

$100K - $170K/yr

Full-time

Re-posted 10 days ago

Job description

Analytics Engineer, Assistant Vice President (AVP) Data & Applications | New York, NY | Assistant Vice President

This role is not eligible for visa sponsorship. Applicants must have unrestricted authorization to work in the United States.

About the Role

We are looking for a developer with strong analytical instincts who enjoys building data-driven applications and analytics tools used by business teams to make better decisions. This role sits at the intersection of application development, analytics engineering, and data science, where you will work with modern cloud technologies to turn complex financial data into practical, production-ready solutions used across the organization.

You will work primarily in a Python, Databricks, and Snowflake environment on Azure, building internal applications and analytics workflows that enable business teams to explore and act on data more effectively. The ideal candidate is a builder first -- curious, collaborative, and comfortable owning the full product lifecycle from prototype to deployment.

Team Overview

The Data & Applications team develops business-facing applications and builds analytics tools, AI-enabled solutions, and data infrastructure that connect data, technology, and decision-making across the organization. The team combines financial and business expertise with technical capabilities in software development, data engineering, and analytics to deliver scalable technology solutions that support both corporate functions and client advisory teams.

Role Overview

We are seeking a developer who is excited to work at the intersection of AI, application development, and financial services. The ideal candidate is comfortable navigating ambiguity, enjoys solving complex problems involving financial data, and is motivated by shipping modern analytics tools and AI-powered applications that business teams rely on daily.

In this role, you will work closely with client-facing business teams and own projects across the entire application lifecycle -- prototyping, design, testing, deployment, and ongoing support. This is a highly visible position where the solutions you build will directly support teams that actively depend on the tools and insights you deliver.

Responsibilities

  • Design, build, and deploy internal applications and analytics solutions that enhance client advisory workflows and improve access to financial data across the organization.
  • Partner directly with business stakeholders to translate their needs into practical technical solutions, making informed decisions on architecture, tools, and feasibility.
  • Build analytics layers, dashboards, and tools that enable business users to explore, analyze, and act on data independently.
  • Integrate LLM APIs and AI capabilities into analytics workflows and internal applications where appropriate.
  • Ensure data reliability by managing documentation, quality standards, and monitoring for the pipelines and analytics products you develop.
  • Stay current on advancements in AI and analytics technologies and identify opportunities to apply them within financial services workflows.

Qualifications

We are looking for individuals who demonstrate initiative, can work independently, and perform well in a fast-paced, entrepreneurial environment.

  • 5+ years of experience in analytics engineering, data-intensive application development, or data science, with a track record of delivering production-ready solutions used by business teams.
  • Demonstrated experience building internal tools or applications for business users -- not just dashboards and reports, but full-feel products that stakeholders interact with directly.
  • Proficiency in Python and strong SQL skills with hands-on experience in Databricks and Snowflake.
  • Experience working in Azure or another major cloud platform (AWS or GCP), with Azure experience strongly preferred.
  • Familiarity with CI/CD practices and version control tools such as GitHub or Azure DevOps.
  • Knowledge of data modeling concepts and experience transforming raw datasets into clean, well-structured data for analysis.
  • Strong communication skills and the ability to work directly with both technical and non-technical stakeholders.

Additional Experience (Strongly Preferred)

  • Hands-on experience integrating LLM APIs (such as Anthropic, OpenAI, or Azure OpenAI) into production systems or data workflows.
  • Experience with Azure services such as Azure AI, Azure Functions, or Azure OpenAI.
  • Previous experience in investment banking, financial services, or a related industry, with familiarity around deal workflows or financial reporting processes.
  • Experience using AI-assisted development tools such as GitHub Copilot or Cursor as part of an active development workflow.