VP Data Officer

New Hampshire Mutual Bancorp•Concord, NH

17h•Hybrid

About The Position

New Hampshire Mutual Bancorp is seeking an accomplished technology leader to advance its enterprise data environment, including engineering, architecture, platforms, and governance. The VP Data Officer will shape the framework and multiyear roadmap for the data strategy that supports reporting, business intelligence, automation, advanced analytics, and responsible AI across the organization and its affiliates. The role focuses on the technical foundation of data and leads the teams, architecture, engineering practices, platforms, and controls that deliver reliable, well-governed data products to analytics and business partners. This is a full-time, hybrid position based in Concord, New Hampshire, with a Monday–Friday schedule from 8:00 AM to 5:00 PM. Salary is negotiable based on experience.

Requirements

Bachelor’s degree in computer science, information systems, data engineering, software engineering, information management, or a related technical field.
Seven or more years of progressive leadership experience in enterprise data engineering, data architecture, platform management, or data governance.
Experience leading technical teams and supporting production data environments in a complex organization.
Success developing enterprise data strategies and multiyear technology roadmaps.
Experience implementing modern cloud data platforms, such as Snowflake, including source-system integrations and connections to analytics tools.
Strong knowledge of data architecture, dimensional modeling, ETL/ELT, APIs, structured and semi-structured data, cloud platforms, and modern software delivery practices.
Working proficiency in SQL and programming concepts to assess designs, evaluate engineering quality, and guide technical decisions.
Understanding of information security, privacy, regulatory compliance, model risk, business continuity, third-party risk, and data lifecycle controls.

Nice To Haves

Advanced degree preferred.
Experience in banking, financial services, or another regulated industry strongly preferred.

Responsibilities

Set the enterprise vision, standards, and roadmap for data engineering, architecture, integration, modeling, orchestration, testing, observability, and production support.
Lead the design and evolution of secure, scalable cloud data warehouse and lake environments, balancing performance, reliability, interoperability, and cost.
Establish practical governance for data quality, ownership, stewardship, metadata, lineage, access, privacy, retention, and change management.
Build an effective operating model for data, prioritization, solution architecture, engineering delivery, support, and lifecycle management.
Deliver trusted, documented data products that enable business intelligence and analytics teams to focus on insights and decision-making.
Evaluate generative and agentic AI capabilities, establish appropriate guardrails, and sponsor responsible use cases.
Develop high-performing data engineering and infrastructure teams through coaching, clear expectations, succession planning, and professional development.
Partner with technology, finance, risk, compliance, and business leaders to prioritize initiatives and communicate progress, risks, and outcomes.