Director of Enterprise Automation, AI & Analytics

Middlesex Savings Bank•Westborough, MA

7d•$137,316 - $250,608

About The Position

The Director of Enterprise Automation, AI & Analytics leads enterprise-wide transformation by developing and implementing process improvements that make effective use of artificial intelligence, robotic process automation, workflow tools, SharePoint Online, and data and analytics capabilities. The role develops strategies and multi-year roadmaps aligned with the Bank’s strategic objectives and technology direction, with the goal of improving operational efficiency, customer experiences, decision making, and innovation. The Director provides strategic and operational leadership for the Business Process Management, Business Automation Development, and Enterprise Data and Analytics functions through three subordinate managers. The role oversees process design and re-engineering, automation and application delivery, data and analytics solutions, collaboration platforms, and responsible AI adoption. It establishes objectives and priorities, maintains a prioritized portfolio of initiatives, and allocates resources based on strategic alignment, business value, operational impact, and risk. The position leads the adoption and governance of AI and Generative AI, partnering with Risk Management, Compliance, Information Security, Legal, Internal Audit, and other stakeholders to ensure solutions meet regulatory, security, risk, and governance requirements. It also oversees data strategy and architecture, data warehousing, business intelligence, reporting, data quality, metadata, data governance, and governed self-service analytics. The Director collaborates with business leaders, IT teams, and vendors to deliver integrated process, automation, workflow, application, data, and analytics capabilities. The role manages staff and managers, supports their development, oversees vendors and budgets, monitors technology and system risks, and ensures compliance with Bank policies and applicable regulatory requirements. Regular travel to Bank sites is required.

Requirements

Bachelor’s degree in computer science, information systems, business, analytics, or a related discipline.
At least 10 years of system, operational, and business experience delivering enterprise technology, automation, and data solutions.
At least 5 years of technical management experience, including leading through subordinate managers and leading multidisciplinary teams across business analysis, application and automation development, and data and analytics.
Demonstrated experience defining and executing an enterprise automation, digital transformation, or data and analytics strategy with measurable business outcomes.
Working knowledge of SharePoint Online, Microsoft 365, Microsoft Teams, Microsoft Copilot, Power Platform, SQL Server, .NET/C#, and other Microsoft technologies.
Working knowledge of enterprise automation and workflow platforms such as UiPath, Nintex/K2, and Microsoft Power Platform.
Demonstrated experience evaluating, governing, and scaling AI, Generative AI, machine learning, and RPA in a regulated environment, including AI and model risk management, responsible AI controls, and third-party AI due diligence.
Working knowledge of data warehousing, ETL, semantic modeling, business intelligence and visualization (including SQL Server, SSIS, and Power BI), cloud data platforms, and data governance frameworks such as DAMA-DMBOK or DCAM.
Strong understanding of banking operations, FFIEC guidance, GLBA, audit and examination expectations, information security, vendor risk, and model risk management.
Strong communication skills and ability to explain strategies and plans to teams and senior management and work effectively with team members, business line owners, auditors, examiners, and vendors.
Strong analytical, interpersonal, and problem-solving abilities, including identifying and prioritizing critical-path issues and risks and recommending mitigation strategies.
Ability to show initiative and resourcefulness, produce high-quality work, and meet deadlines and budget considerations.
Excellent analytical skills demonstrated through success creating, implementing, and executing transformational strategy.
Demonstrated ability to lead organizational change and develop managers and technical staff.
Schedule flexibility and ability to work extended hours and weekends.
Valid driver’s license and ability to travel regularly to Bank sites.

Nice To Haves

Master’s degree.
Experience in banking or another highly regulated industry.
Project Management Professional (PMP), Certified Business Process Professional (CBPP), Lean Six Sigma, Certified Data Management Professional (CDMP), or comparable AI or data governance certification.

Responsibilities

Provide leadership and direction for the Business Process Management, Business Automation Development, and Enterprise Data and Analytics teams through three subordinate managers; set strategy, objectives, and multi-year roadmaps aligned with the Bank’s strategic plan and technology architecture.
Align technology and data architecture with business objectives, anticipate future business challenges, and present innovative technology solutions to leadership.
Redesign processes to incorporate intelligent automation, machine learning, Generative AI, and natural language processing; identify automation opportunities, improvements, risks, and optimal solutions.
Oversee delivery of RPA, workflow, and AI-enabled automation capabilities in alignment with Bank strategies and roadmaps, and identify desired business outcomes.
Define and promote best practices for automation and AI, and serve as a subject matter expert for RPA and AI-enabled process improvement.
Lead multidisciplinary teams through subordinate managers and develop a cross-functional Center of Excellence to drive prioritization, evolution, and execution of services.
Lead requirements sessions with business units and identify opportunities for task automation, AI enablement, process improvement, and enhancements that improve quality, efficiency, and ROI.
Oversee the life cycle of business process management, automation, application, and data platform components; participate in application design, coding, testing, implementation, support, and enterprise integration; lead software upgrades.
Define and report AI and automation value metrics, including hours returned, cycle-time reduction, error and rework reduction, adoption rates, and ROI, to executive leadership and the Board as requested.
Establish and execute a vision for information and analytics solutions, including enterprise data strategy and architecture, data warehousing, business intelligence, data preparation, reporting, data exploration, and information delivery portals.
Manage department staff, conduct performance reviews, make hiring, salary, and promotion recommendations, and provide direction, coaching, and professional development.
Provide strategic and analytical support for the evolution of business process management, automation, and enterprise data platforms; lead continuous improvement and retrospective analyses.
Lead internal focus groups on end-user issues, usability, and enhancements; facilitate business and technical roadmap sessions to improve use of BPM application features and functionality.
Maintain a single prioritized portfolio of process, automation, application, and data initiatives, and allocate resources according to strategic alignment, business value, operational impact, and risk.
Monitor and manage system risk for BPM, automation, AI, and data technology, including FFIEC guidance, annual risk assessments, model risk management, vendor risk, and internal and external audit reviews.
Coordinate with consultants and vendors and support vendor management, including meetings, issue escalation, invoicing, reporting, and effort tracking.
Provide input to budgeting, including recommendations for capital purchases, software investments, and staffing requirements.
Coordinate, test, and document the IT Disaster Recovery Plan for BPM, automation, application, data warehouse, and business intelligence platforms.
Ensure adherence to data governance policies, promote data stewardship and accountability, and oversee departmental data quality metrics and remediation.
Ensure the integrity and confidentiality of data in the Bank’s information systems.
Perform duties in accordance with regulatory compliance guidelines and Bank policies, procedures, and objectives.
Refer sales opportunities to other departments or Bank affiliates in support of established objectives.
Perform related and unrelated duties as required.