VP- Data Analytics

Job Description

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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