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Vp Data Jobs (NOW HIRING)

PFSbrands

Vice President, Data

Holts Summit, MO · On-site

Description: VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY The Vice President of Data is an executive role responsible for unifying the company's data ...

Accuity

VP, Data Architecture

Mount Laurel, NJ · On-site

Vice President, Data Architecture Department: Technology - Data Architecture Location: Remote FLSA Status: Exempt People Leader: Yes Travel: Strategic Data Leadership: Defines and executes data ...

PFSbrands

Vice President, Data

Holts Summit, MO · On-site

VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY The Vice President of Data is an executive role responsible for unifying the company's data ecosystems across its ...

Flexential

VP, Data Center Operations

The Vice President, Data Center Operations will play a central role in ensuring that facilities perform safely and consistently, that teams are equipped and aligned, and that the operating model can ...

PFSbrands

Vice President, Data

Holts Summit, MO

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY The Vice President of Data is an executive role responsible for unifying the company's data ecosystems ...

PFSbrands

Vice President, Data

Holts Summit, MO

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY The Vice President of Data is an executive role responsible for unifying the company's data ecosystems ...

Centerline

Vice President Data Center

Richmond, VA · On-site +1

Job Summary The Vice President(VP), - Data Center Services(DCS) will play a key leadership role in ensuring the successful sourcing and delivery of complex infrastructure projects within the data ...

BNY

Vice President, Data Privacy

Pittsburgh, PA · Hybrid

Vice President, Data Privacy At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

BNY

Vice President, Data Privacy

Pittsburgh, PA · On-site

Vice President, Data Privacy At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the ...

Impact Advisors

Vice President, Data & AI

$215K - $330K/yr

The new VP will harness the firm's existing data and analytics capabilities to extend services to a larger client base and more diverse market segments. This individual will enhance and help drive ...

CRH

Vice President, Data & Analytics

Atlanta, GA · On-site

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ID: 523775 Oldcastle, a CRH company, is reinventing what's possible in building solutions. We are the ...

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All JobsVp Data Jobs

Vp Data information

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$43.5K

$157.5K

$277.5K

How much do vp data jobs pay per year?

As of Jul 18, 2026, the average yearly pay for vp data 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 are the key skills and qualifications needed to thrive as a VP of Data, and why are they important?

To thrive as a VP of Data, you need advanced expertise in data analytics, data strategy, and leadership, typically supported by a degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop and Spark), cloud data solutions, and certifications in data management or analytics tools are highly valued. Strategic vision, strong communication, and the ability to lead cross-functional teams are standout soft skills. These competencies are crucial for aligning data initiatives with business objectives, ensuring data governance, and driving organizational growth.

What jobs in the US pay 300,000 a year?

For a VP Data or similar senior data leadership roles, annual salaries of $300,000 or more are common in large corporations, especially with extensive experience, advanced skills in data strategy, analytics, and management, and often include bonuses and stock options. Other high-paying roles in data science and analytics may include Chief Data Officer or Director of Data, typically requiring a strong track record and advanced certifications. Compensation varies based on industry, company size, and geographic location, with executive-level positions generally offering the highest salaries.

How does a VP of Data typically collaborate with other departments to drive business value?

A VP of Data works closely with leaders across departments such as product, marketing, finance, and IT to align data strategies with broader business goals. They facilitate cross-functional projects, ensuring that data insights inform decision-making and support company objectives. Regular communication and collaboration are essential, as the VP of Data often leads data governance initiatives and helps teams leverage analytics to solve real-world business challenges.

How much does a VP data engineer make?

A VP of Data Engineering typically earns between $150,000 and $250,000 annually, with compensation increasing based on experience, company size, and location. They often oversee data teams, manage data infrastructure, and require strong skills in data architecture, cloud platforms, and leadership. Bonuses and stock options may also be part of the total compensation package.

What jobs pay 200,000 a year in the USA?

For a VP of Data or similar senior data leadership roles, annual salaries of $200,000 or more are common, especially with extensive experience, advanced skills in data management, analytics, and leadership, and often require a master's degree or higher. Compensation can vary based on industry, company size, and location, with additional benefits such as bonuses and stock options frequently included.

What jobs pay 500,000 a year in the US?

In the US, executive roles such as Chief Executive Officers, Chief Financial Officers, and Chief Data Officers can earn $500,000 or more annually, especially in large corporations. High-level positions in finance, technology, and healthcare, along with successful entrepreneurs and specialized professionals with significant experience, may also reach this compensation level. These roles often require advanced degrees, extensive experience, and leadership responsibilities.

What does a VP of Data do?

A VP of Data is responsible for overseeing an organization's data strategy, management, and analytics initiatives. They lead teams of data scientists, analysts, and engineers to ensure data is collected, stored, and utilized effectively to drive business decisions. Their role often includes setting data governance policies, ensuring compliance with regulations, and collaborating with other departments to support company objectives. Additionally, they evaluate and implement new technologies to enhance data capabilities and provide strategic insights to senior leadership.
More about Vp Data jobs
What cities are hiring for Vp Data jobs? Cities with the most Vp Data job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Vp Data jobs? States with the most job openings for Vp Data jobs include:
What job categories do people searching Vp Data jobs look for? The top searched job categories for Vp Data jobs are:
Vp Data jobs near you
Infographic showing various Vp Data job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.
VP- Data Analytics

VP- Data Analytics

Bristol County Savings Bank

Taunton, MA • On-site

Full-time

Posted 21 days ago

Job description


VP, Data Analytics

Reports to: EVP/ Chief Information Officer (CIO)

Direct Reports: Senior Analytics Lead, Power BI Developer Location: Taunton, MA with potential for Hybrid work schedule

Role Summary


The VP / Manager of Data Analytics is a hands-on leader responsible for building, operating, and scaling BCSB’s enterprise analytics capability. This role owns analytics strategy, execution, team leadership, and value delivery — ensuring analytics directly supports deposit growth, customer intelligence, automation, and executive decision-making.

The position is deeply involved in roadmap execution, dashboard review, KPI governance, and coaching the analytics team.

Key Responsibilities

· Own the analytics roadmap aligned to bank strategy and ELT priorities

· Lead enterprise adoption of Microsoft Fabric and Power BI

· Lead transition away from legacy Business Objects / Crystal reporting in coordination with COCC

· Oversee phased migration of reporting assets to Power BI

· Oversee phased Fabric security implementation (Wave 1–3 model)

· Translate executive priorities into actionable analytics initiatives

· Establish and lead analytics intake, prioritization, and sprint planning

· Chair or co-chair the Data Governance Steering Group plus the Analytics Enablement Committee

· Review and approve all production dashboards and KPIs

· Partner with Finance, Operations, Lending, and Marketing leadership

· Ensure analytics delivery timelines, quality, and business impact

· Recruit, develop, and retain analytics talent

Hands-On Expectations

· Participate in dashboard design and KPI reviews

· Validate data logic and metric definitions

· Lead executive walkthroughs of analytics products

· Troubleshoot analytics issues with the team when needed

Qualifications

· Bachelor's degree

· 10–15 years experience in analytics, BI, or data leadership

· Strong hands-on experience with Power BI and modern data platforms

· Banking or financial services experience strongly preferred

· Proven ability to lead small, high-impact teams

· Strong communication and executive presence

Success Measures

· Executive adoption and usage of analytics

· Reduction in ad-hoc reporting requests

· On-time delivery of analytics roadmap

· Team retention and engagement

· Data trust and KPI consistency across the bank

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