{"id":2649012,"url":"https://alion.io/job/walpolebank-vp-data-officer","title":"VP Data Officer","company":{"id":2108856,"name":"walpolebank","domain":"walpolebank.com","url":"https://alion.io/company/walpolebank","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Concord, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":123000,"max_usd":230000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2716},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T17:23:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-28T01:07:06Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Company: New Hampshire Mutual Bancorp\nTitle: VP Data Officer\nLocation: Hybrid based in Concord, New Hampshire\nPosition Details: Full Time, Monday-Friday, 8:00AM-5:00PM\nFLSA: Exempt, Officer First/Mid-Level Officials and Managers\nSalary: Negotiable based on level of experience\nNew Hampshire Mutual Bancorp is seeking an accomplished technology leader to advance our enterprise data environment, which includes engineering, architecture, platforms, and governance capabilities. You will shape the framework and multiyear roadmap for the data strategy that powers reporting, business intelligence, automation, advanced analytics, and responsible AI across our organization and affiliates.\nThis role is focused on the technical foundation of data. You will lead the teams, architecture, engineering practices, platforms, and controls that deliver reliable, well-governed data products to analytics and business partners.\nWhy You’ll Love Working Here\nIn addition to a competitive salary, we offer a comprehensive benefits package designed to support you both personally and professionally. Benefits include medical, dental, and vision coverage, a 401(k) with company match, paid time off, paid parental leave, tuition reimbursement, professional development opportunities, and the chance to be part of a supportive team that values the work you do every day.\nWhat You’ll Do\nSet the enterprise vision, standards, and roadmap for data engineering, architecture, integration, modeling, orchestration, testing, observability, and production support\nLead the design and evolution of secure, scalable cloud data warehouse and lake environments, balancing performance, reliability, interoperability, and cost\nEstablish practical governance for data quality, ownership, stewardship, metadata, lineage, access, privacy, retention, and change management\nBuild an effective operating model for data, prioritization, solution architecture, engineering delivery, support, and lifecycle management\nDeliver trusted, documented data products that enable business intelligence and analytics teams to focus on insights and decision-making\nEvaluate generative and agentic AI capabilities, establish appropriate guardrails, and sponsor responsible use cases\nDevelop high-performing data engineering and infrastructure teams through coaching, clear expectations, succession planning, and professional development\nPartner with technology, finance, risk, compliance, and business leaders to prioritize initiatives and communicate progress, risks, and outcomes\nWhat You’ll Bring\nBachelor’s degree in computer science, information systems, data engineering, software engineering, information management, or a related technical field; advanced degree preferred\nSeven or more years of progressive leadership experience in enterprise data engineering, data architecture, platform management, or data governance\nExperience leading technical teams and supporting production data environments in a complex organization\nSuccess developing enterprise data strategies and multiyear technology roadmaps\nExperience implementing modern cloud data platforms, such as Snowflake, including source-system integrations and connections to analytics tools\nStrong knowledge of data architecture, dimensional modeling, ETL/ELT, APIs, structured and semi-structured data, cloud platforms, and modern software delivery practices\nWorking proficiency in SQL and programming concepts to assess designs, evaluate engineering quality, and guide technical decisions\nUnderstanding of information security, privacy, regulatory compliance, model risk, business continuity, third-party risk, and data lifecycle controls\nExperience in banking, financial services, or another regulated industry strongly preferred\nWhy Join Us\nWe build genuine partnerships through exceptional service and a culture grounded in teamwork, integrity, and excellence. As a community-focused organization, we are proud to make a meaningful difference in the communities we serve.\nBring your leadership and technical expertise to an organization where your ideas, contributions, and impact are valued.\nWe are an Equal Opportunity Employer. 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