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Vice President Data Analytics Sales Jobs (NOW HIRING)

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 ...

VP, Data & Analytics

New York, NY · Remote

$196K - $253K/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 ...

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 ...

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 ...

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 ...

VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY The Vice ... Define and execute a multi-year data and analytics strategy aligned to business goals across all ...

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Vice President Data Analytics Sales information

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$71.5K

$165.9K

$250.5K

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

As of Jul 5, 2026, the average yearly pay for vice president data analytics sales in the United States is $165,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $195,000.00 per year, depending on experience, location, and employer.
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VP- Data Analytics

VP- Data Analytics

Bristol County Savings Bank

Taunton, MA • On-site

Full-time

Posted 8 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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