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Senior Vice President Data Analytics Jobs (NOW HIRING)

CRH

Vice President, Data & Analytics

Atlanta, GA · On-site

Job Summary The Vice President of Data & Analytics is a senior executive responsible for defining and executing the enterprise data strategy to drive measurable business outcomes. This leader will ...

CRH

Vice President, Data & Analytics

Atlanta, GA · Hybrid

Job Summary The Vice President of Data & Analytics is a senior executive responsible for defining and executing the enterprise data strategy to drive measurable business outcomes. This leader will ...

Chubb

SVP, PRS - Data Science

Boston, MA

Responsibilities: As part of the North America Data & Analytics leadership team you will be ... A. and to the EVP, PRS Finance Product and Analytics Officer. As the SVP Data Scientist for ...

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

Responsibilities: As part of the North America Data & Analytics leadership team you will be ... A. and to the EVP, PRS Finance Product and Analytics Officer. As the SVP Data Scientist for ...

LifeMD

VP, Data & Analytics

Manhattan, NY · On-site

$198K - $255K/yr

About the role LifeMD is seeking a visionary and execution-focused Vice President of Data, Analytics & AI to lead the company's enterprise data and artificial intelligence strategy. Reporting to the ...

LifeMD

VP, Data & Analytics

Manhattan, NY · On-site

$198K - $255K/yr

About the role LifeMD is seeking a visionary and execution-focused Vice President of Data, Analytics & AI to lead the company's enterprise data and artificial intelligence strategy. Reporting to the ...

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Senior Vice President Data Analytics information

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$101K

$183.5K

$367K

How much do senior vice president data analytics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for senior vice president data analytics in the United States is $183,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $200,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Vice President Data Analytics vs Data Analytics Director?

AspectSenior Vice President Data AnalyticsData Analytics Director
CredentialsAdvanced degrees (MBA, PhD), extensive experience in analytics leadershipBachelor's or Master's in Data Science, Analytics, or related fields
Work EnvironmentExecutive leadership, strategic planning, cross-departmental collaborationOperational management, project oversight, team leadership
Industry UsageCommon in large corporations, financial institutions, tech firmsFound in mid to large organizations across various industries
Search & Comparison IntentUnderstanding executive roles, strategic responsibilitiesOperational management, team leadership, project scope

The Senior Vice President Data Analytics typically holds a higher strategic and executive role, focusing on company-wide data strategies and leadership. The Data Analytics Director manages analytics teams and projects, executing strategies set by senior leadership. Both roles require strong analytics credentials, but the SVP is more involved in high-level decision-making and organizational impact.

What does a Senior Vice President of Data Analytics do?

A Senior Vice President of Data Analytics is an executive leader responsible for overseeing an organization's data strategy, analytics operations, and data-driven decision-making processes. They lead teams that collect, analyze, and interpret large volumes of data to inform business strategy and drive growth. This role often involves collaborating with other senior leaders to identify business opportunities, improve efficiency, and ensure the company is leveraging data effectively. Additionally, they set data governance policies, manage advanced analytics initiatives, and may oversee the implementation of artificial intelligence or machine learning projects.

How does a Senior Vice President of Data Analytics typically collaborate with other executive leaders within an organization?

A Senior Vice President of Data Analytics works closely with other executives, such as the CIO, CTO, and business unit leaders, to align data strategy with overall business objectives. This role often involves translating complex analytics insights into actionable recommendations for non-technical stakeholders, ensuring that data-driven decisions support company growth. Regular cross-functional meetings and strategic planning sessions are common, fostering a culture where data informs product development, marketing strategies, and operational improvements. Effective communication and leadership skills are essential for driving consensus and integrating analytics across departments.

What are the key skills and qualifications needed to thrive as a Senior Vice President Data Analytics, and why are they important?

To thrive as a Senior Vice President Data Analytics, you need a deep expertise in data strategy, statistical analysis, and large-scale data architecture, often supported by an advanced degree in a quantitative field and significant industry experience. Familiarity with tools like SQL, Python, data visualization platforms (e.g., Tableau, Power BI), and big data technologies, as well as relevant certifications, is typically required. Exceptional leadership, strategic thinking, and communication skills are vital for driving data initiatives and aligning analytics with business goals. These competencies enable effective data-driven decision-making and ensure analytics deliver measurable value across the organization.
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What are the most commonly searched types of Vice President Data Analytics jobs? The most popular types of Vice President Data Analytics jobs are:
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Senior Vice President Data Analytics jobs near you
Infographic showing various Senior Vice President Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $183,493 per year, or $88.2 per hour.
VP- Data Analytics

VP- Data Analytics

Bristol County Savings Bank

Taunton, MA • On-site

Full-time

Posted 17 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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