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 BCSBโs enterprise analytics capability. This role owns analytics strategy, execution, team leadership, and value delivery โ 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
ยท Own the analytics roadmap aligned to bank strategy and ELT priorities
ยท Lead enterprise adoption of Microsoft Fabric and Power BI
ยท Lead transition away from legacy Business Objects / Crystal reporting in coordination with COCC
ยท Oversee phased migration of reporting assets to Power BI
ยท Oversee phased Fabric security implementation (Wave 1โ3 model)
ยท Translate executive priorities into actionable analytics initiatives
ยท Establish and lead analytics intake, prioritization, and sprint planning
ยท Chair or co-chair the Data Governance Steering Group plus the Analytics Enablement Committee
ยท Review and approve all production dashboards and KPIs
ยท Partner with Finance, Operations, Lending, and Marketing leadership
ยท Ensure analytics delivery timelines, quality, and business impact
ยท Recruit, develop, and retain analytics talent
Hands-On Expectations
ยท Participate in dashboard design and KPI reviews
ยท Validate data logic and metric definitions
ยท Lead executive walkthroughs of analytics products
ยท Troubleshoot analytics issues with the team when needed
Qualifications
ยท Bachelor's degree
ยท 10โ15 years experience in analytics, BI, or data leadership
ยท Strong hands-on experience with Power BI and modern data platforms
ยท Banking or financial services experience strongly preferred
ยท Proven ability to lead small, high-impact teams
ยท Strong communication and executive presence
Success Measures
ยท Executive adoption and usage of analytics
ยท Reduction in ad-hoc reporting requests
ยท On-time delivery of analytics roadmap
ยท Team retention and engagement
ยท Data trust and KPI consistency across the bank
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