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Vice President Data Aggregation Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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Vice President Data Aggregation information

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$43.5K

$157.5K

$277.5K

How much do vice president data aggregation jobs pay per year?

As of Jul 13, 2026, the average yearly pay for vice president data aggregation 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 the difference between Vice President Data Aggregation vs Data Analyst?

AspectVice President Data AggregationData Analyst
CredentialsBachelor's/Master's in Data Science, Business, or related fields; extensive experienceBachelor's in Data Science, Statistics, or related fields; entry to mid-level experience
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationData collection, analysis, reporting, and visualization tasks
Industry UsageUsed in corporate, finance, and tech sectors for high-level data strategyCommon across industries for operational insights and reporting

The Vice President Data Aggregation focuses on strategic oversight and leadership in data collection and integration at an executive level, while Data Analysts handle data analysis, reporting, and supporting decision-making at operational levels. Both roles require strong analytical skills, but differ significantly in scope, responsibilities, and experience requirements.

What cities are hiring for Vice President Data Aggregation jobs? Cities with the most Vice President Data Aggregation job openings:
What are the most commonly searched types of Data Aggregation jobs? The most popular types of Data Aggregation jobs are:
What states have the most Vice President Data Aggregation jobs? States with the most job openings for Vice President Data Aggregation jobs include:
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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