Director of Data and Artificial Intelligence Job Leominster area,Massachusetts USA,IT/Tech

SUMMARY

We are seeking a visionary and strategic Director of Data and AI to establish and lead our organization's dedicated data and artificial intelligence function. This is a transformational leadership opportunity to continue to build our data and AI capabilities, driving innovation and competitive advantage across our banking operations. Reporting directly to the Chief Information Officer, this role will be responsible for developing our data ecosystem, implementing AI solutions and establishing the organizational capabilities needed to become a data‑driven financial institution.

ESSENTIAL

JOB FUNCTIONS/RESPONSIBILITIES Strategic Leadership & Vision

Develop and execute a comprehensive data and AI strategy aligned with the bank's business objectives and regulatory environment

Build and champion a data‑driven culture across the organization, serving as a thought leader and change agent

Establish governance frameworks, policies, and standards for data management, data quality, and AI ethics

Partner with executive leadership to identify high‑value opportunities for data and AI to drive business outcomes

Define and communicate the strategic roadmap for data infrastructure, analytics capabilities, and AI implementation

Data Ecosystem Development

Design and implement a scalable, secure data architecture that supports analytics, AI/ML, and business intelligence needs

Establish data governance frameworks including data quality standards, metadata management, and data lineage

Implement master data management (MDM) and data integration strategies across disparate banking systems

Develop data lake/lakehouse and data warehouse solutions optimized for both operational and analytical workloads

Create policies and processes for data access, security, privacy, and regulatory compliance (GDPR, CCPA, GLBA, etc.)

Build data cataloging and discovery capabilities to democratize access to trusted data assets

AI & Advanced Analytics

Identify, prioritize, and implement AI and machine learning use cases that deliver measurable business value

Develop responsible AI frameworks addressing ethics, bias mitigation, explainability, and model risk management

Establish MLOps practices for model development, deployment, monitoring, and lifecycle management

Create predictive and prescriptive analytics capabilities for risk management, fraud detection, customer insights, and operational efficiency

Evaluate and implement generative AI solutions while ensuring appropriate controls and risk mitigation

Build experimentation frameworks and proof‑of‑concept capabilities for emerging technologies

Team Building & Leadership

Build, develop, and mentor a high‑performing team of data engineers, data analysts, data scientists, and AI specialists

Establish clear roles, responsibilities, and career pathways for data and AI professionals

Foster a culture of innovation, continuous learning, and technical excellence within the team

Develop partnerships with universities, technology vendors, and industry organizations to access talent and insights

Create training programs to upskill staff across the organization on data literacy and AI fundamentals

Stakeholder Management & Collaboration

Partner with business unit leaders to understand needs and translate them into data and AI solutions

Collaborate with IT, cybersecurity, compliance, and risk management to ensure integrated approaches

Manage relationships with technology vendors, consultants, and strategic partners

Present regular updates to executive leadership and board committees on data and AI initiatives

Serve as the primary liaison with regulators on data management and AI‑related matters

Technology & Infrastructure

Select, implement, and manage modern data platforms, tools, and technologies

Ensure data infrastructure scalability, reliability, security, and cost‑effectiveness

Establish cloud data strategies and hybrid architecture approaches as appropriate

Implement real‑time data processing capabilities and streaming analytics where needed

Oversee API development for data access and integration with internal and external systems

QUALIFICATIONS EDUCATION, CERTIFICATIONS

Bachelor's degree in Computer Science, Data Science,…


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