VP of Data - Engineering, Analytics & Business Intelligence

Avidia Bank•Hudson, MA

23h

About The Position

The Vice President of Data Engineering, Analytics & Business Intelligence provides strategic leadership and execution for the organization’s data ecosystem—including data engineering, data analytics, and business intelligence. This role is responsible for shaping the enterprise data strategy, modernizing data platforms, establishing data governance and engineering standards, and enabling advanced analytics and BI capabilities that drive operational excellence and business growth. The VP oversees the design, development, and delivery of high quality data products, predictive models, BI solutions, and automated data pipelines that empower stakeholders with timely, trusted, and actionable insights.

Requirements

Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
8+ years of progressive experience in data engineering, analytics, or data science, with at least 5 years in a leadership role.
Banking industry experience preferred.
Strong expertise in modern data platforms and tools (Snowflake, Qlik/Talend, Power BI, ALTR, cloud data ecosystems).
Demonstrated experience leading both data engineering, analytics, and BI teams.
Deep knowledge of data modeling, statistical techniques, and data architecture best practices.
Excellent communication, leadership, and stakeholder engagement skills.

Responsibilities

Lead and evolve the enterprise data engineering, analytics, and BI functions to support the bank’s strategic goals.
Define and implement a unified data strategy, including data architecture, governance, and platform modernization.
Drive innovation in data practices, automation, and analytics to support digital transformation initiatives.
Oversee the design, build, and optimization of scalable data pipelines, ETL/ELT processes, and cloud data platforms.
Ensure the reliability, performance, and scalability of the enterprise data environment (e.g., Snowflake, Talend, ALTR).
Oversee IT and data engineering teams to maintain strong data infrastructure and ensure system interoperability.
Establish best practices for data ingestion, integration, quality, lineage, and metadata management.
Architect and guide the development of advanced analytics, predictive models, and statistical methodologies.
Lead the creation of standardized, high quality data sets to support enterprise reporting and analysis.
Deliver actionable insights that inform strategic decision making and identify business opportunities.
Develop and maintain enterprise BI tools, dashboards, and reporting solutions (e.g., Power BI, Core Banking BI tools).
Ensure BI solutions meet business needs and provide intuitive, meaningful visualizations for stakeholders.
Promote BI self service adoption and data literacy across the organization.
Build, mentor, and lead high performing teams across data engineering, analytics, and business intelligence.
Drive cross functional collaboration to ensure alignment between data initiatives and business objectives.
Serve as a trusted advisor to senior leadership, providing clear insights and data driven recommendations.
Ensure data integrity, accuracy, and security across all data processes, platforms, and products.
Uphold compliance with banking regulations and data related policies.
Establish and enforce enterprise data standards, including governance frameworks and quality controls.