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Director of Enterprise Automation, AI & Analytics

Job in Westborough, Worcester County, Massachusetts, 01581, USA
Listing for: Middlesex Savings Bank
Full Time position
Listed on 2026-10-24
Job specializations:
  • IT/Tech
    AI Business & Operations, Business Systems & Technology Analysis, AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 137316 - 250608 USD Yearly USD 137316.00 250608.00 YEAR
Job Description & How to Apply Below
Overview

The Director of Enterprise Automation, AI & Analytics is responsible for leading enterprise-wide transformation initiatives by identifying, designing, and implementing process improvements that maximize the use of artificial intelligence (AI), robotic process automation (RPA), advanced workflow tools, SharePoint Online, and data and analytics capabilities. This role develops and executes the strategy and roadmap for the functions under the Director's leadership, aligning with the Bank's strategic objectives and overall technology direction to drive operational efficiency, strengthen customer experiences, support data-informed decision making, and advance innovation across the organization.

Core responsibilities include developing and deploying intelligent automation solutions, orchestrating end-to-end electronic workflows, implementing AI-enabled business intelligence and analytics, supporting data management and governance within the functions under this role, optimizing document governance, and modernizing collaboration platforms. The position also provides strategic oversight for process design, automation, application and analytics solutions, enhanced user experiences, and regulatory and compliance alignment within technology-enabled solutions.

The Director provides leadership and direction through subordinate managers for the Business Process Management, Business Automation Development, and Enterprise Data and Analytics functions. The role establishes departmental objectives, priorities, and multi-year roadmaps; leads the development and delivery of process, automation, application, data, and analytics solutions; and maintains a prioritized portfolio of initiatives based on strategic alignment, business value, operational impact, and risk.

The Director leads the responsible adoption and effective use of AI and Generative AI within the functions under this role. This includes identifying and prioritizing opportunities to apply AI, incorporating AI and intelligent automation into process design and solution delivery, establishing appropriate AI adoption objectives for the teams, and partnering with Risk Management, Compliance, Information Security, Legal, Internal Audit, and other stakeholders as appropriate to ensure AI-enabled solutions meet applicable regulatory, risk, security, and governance requirements.

The Director collaborates with business leadership, IT teams, and vendor partners to identify opportunities and deliver integrated process, automation, workflow, application, data, and analytics capabilities that reduce manual effort, increase employee productivity, improve decision making, and strengthen organizational knowledge sharing. This role actively champions the effective use of BPM, SharePoint Online, automation, AI, business intelligence, and data technologies, functioning as a solutions consultant who applies agile development practices, process re-engineering, and emerging AI-driven methods.

The Director provides strategic and operational leadership for the delivery of information and analytics solutions, including data preparation, reporting and analytics, data exploration, business intelligence, and information delivery capabilities. The role supports data governance, data quality, metadata, and governed self-service analytics within the functions under its leadership and ensures that data supporting automation, analytics, and AI-enabled solutions is appropriately managed and fit for purpose.

Within the scope of authority and expertise, the Director ensures that internal processes and supporting technology capabilities are continuously evaluated and optimized through process re-engineering, automation, AI, workflow integration, and effective use of data,…

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