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Vp Of Business Intelligence Jobs (NOW HIRING)

One Park Financial

WI · On-site

$180 - $240/hr

About the VP of Credit & Business Intelligence Reporting directly to the SVP of Credit & Analytics, the successful candidate will oversee the Credit Policy & Analytics function for small business ...

Inktel

VP of Business Development

Miami, FL · On-site

As Vice President of Business Development, your responsibilities will include: Prospect and build highly qualified pipeline based on developing a deep understanding of Inktel solution offerings and ...

Distro

VP of Business Development

Miami, FL · On-site

$120 - $180/hr

As Vice President of Business Development, your responsibilities will include: * Prospect and build highly qualified pipeline based on developing a deep understanding of Inktel solution offerings and ...

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Vp Of Business Intelligence information

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How much do vp of business intelligence jobs pay per year?

As of Aug 16, 2026, the average yearly pay for vp of business intelligence in the United States is $160,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $193,000.00 per year, depending on experience, location, and employer.

How does a VP of Business Intelligence typically collaborate with other departments to drive data-driven decision making?

As a VP of Business Intelligence, you will work closely with leaders across departments such as finance, marketing, operations, and IT to understand their data needs and strategic goals. You'll facilitate cross-functional meetings, translate business objectives into data initiatives, and ensure that your team delivers actionable insights tailored to each department. Building strong relationships and maintaining open communication channels is crucial, as this role often serves as a bridge between technical teams and business stakeholders, aligning analytics strategies with organizational priorities.

What are the key skills and qualifications needed to thrive as a VP of Business Intelligence?

To thrive as a VP of Business Intelligence, you need expertise in data analytics, strategic decision-making, and a strong background in business or quantitative fields, often supported by an advanced degree. Proficiency with BI tools such as Tableau, Power BI, SQL, and familiarity with data warehousing systems and cloud platforms is typically required. Exceptional leadership, communication, and problem-solving skills set top performers apart in this role. These competencies are crucial for translating complex data into actionable insights, driving business growth, and leading high-performing analytics teams.

What does a VP of Business Intelligence do?

A VP of Business Intelligence oversees the strategy, development, and implementation of data analytics and business intelligence initiatives within an organization. They lead teams responsible for collecting, analyzing, and interpreting data to support decision-making and drive business growth. This role involves working closely with executive leadership to identify opportunities, optimize operations, and ensure that data-driven insights align with organizational goals. The VP of Business Intelligence also ensures data quality, security, and compliance with relevant regulations.

What is the difference between Vp Of Business Intelligence vs Data Analytics Manager?

AspectVp Of Business IntelligenceData Analytics Manager
ResponsibilitiesOversees entire BI strategy, data infrastructure, and executive reportingManages data analysis projects, team of analysts, and reporting delivery
Required SkillsLeadership, strategic planning, BI tools, data architectureData analysis, visualization, statistical skills, project management
Work EnvironmentExecutive-level, cross-departmental collaborationTeam-focused, project-driven, technical environment
Common UsageUsed in organizations to define senior BI leadership rolesUsed for mid-level management in data analysis teams

The Vp Of Business Intelligence typically holds a senior leadership role responsible for the overall BI strategy and infrastructure, while a Data Analytics Manager focuses on managing data analysis projects and teams. Both roles require strong analytical skills, but the Vp has broader strategic and leadership responsibilities.

What cities are hiring for Vp Of Business Intelligence jobs?

Cities with the most Vp Of Business Intelligence job openings:

What are the most commonly searched types of Of Business Intelligence jobs?

The most popular types of Of Business Intelligence jobs are:

What states have the most Vp Of Business Intelligence jobs?

States with the most job openings for Vp Of Business Intelligence jobs include:

Vp Of Business Intelligence jobs near you
Infographic showing various Vp Of Business Intelligence job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $160,591 per year, or $77.2 per hour.

VP of Credit & Business Intelligence (FL)

One Park Financial

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

About One Park Financial
One Park Financial, a leading provider of financing solutions for small and mid-sized businesses, has been consistently recognized as a top workplace for seven consecutive years, earning both the Best Place to Work and Sun Sentinel's Top Places to Work awards. As a fast-paced and innovative financial services company, we take immense pride in disrupting the industry and positively impacting the lives of business owners nationwide. At One Park Financial, excellence and results are celebrated, and your skills and passion will be recognized and rewarded, providing opportunities for both professional and personal growth.
About the VP of Credit & Business Intelligence
Reporting directly to the SVP of Credit & Analytics, the successful candidate will oversee the Credit Policy & Analytics function for small business financing and emerging embedded finance products. This pivotal role aims to empower small businesses by managing the risk appetite through advanced decisioning models, growth strategies, reporting, and analytics vital to the organization.
Requirements
Job Responsibilities
  • Own Credit Policy & Analytics across the organization - Credit Origination, Account Management, Portfolio monitoring, Collections and Loss/Growth Forecasting.
  • Lead development, validation and implementation of advanced AI/ML models and strategies to expand small business access to finance, taking intelligent risks.
  • Develop and maintain the key portfolio KPIs and inventory of periodic analysis to continuously identify risk and growth opportunities.
  • Support effective challenge of Business Operations through Data & Data Science based Business Intelligence rhythms.
  • Partner with Product, Engineering and Operations to productionize strategies in decision engines, while ensuring data quality, monitoring and controls.
  • Leverage Open Banking (Plaid), Credit (Commercial & Personal), Business Identity, Fraud and validation sources to evaluate improvements in our Credit strategy and merchant experience.
  • Identify areas to reshape user flows, reduce customer friction and optimize the credit funnel.
  • Manage Analytics infrastructure needs for proactive highlighting of issues that need to be addressed and prioritized in the organization.
  • Manage Executive discussions on Analytics prioritization for the most pressing business needs.
  • Coach, Mentor and Develop the Analytics team to turn into effective Credit & Business Intelligence champions and credit policy owners.

Job Requirements
  • 8-10 years of credit and/or analytics experience at Fintechs or Credit institutions, with 3+ years of direct merchant / SMB risk experience preferred.
  • Deep knowledge of underwriting using bank & cash-flow analysis, bureau & alternate data, bureaus etc. with a focus on unsecured credit risk.
  • 5+ years of leading teams (data science, analytics, risk policy) and scaling analytics functions at a growing organization.
  • Proven track record of implementing business intelligence-based optimization strategies (reporting & alerting) with P&L impact.
  • Fluency in SQL and Python or R; experience with BI tools (PowerBI/Tableau) and cloud data platforms (Snowflake/AWS/Databricks).
  • Outstanding leadership, communication, and interpersonal skills, with the innate ability to inspire and motivate a team.
  • Bachelors in a quantitative field; advanced MS/PhD qualifications are a plus.

Benefits
  • Dental Insurance
  • Health insurance
  • Vision insurance
  • Paid time off
  • 401k with Match
  • Company Paid ID Protection
  • Company Paid Life Insurance

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