Full-time
Candidate must be local to MA/NH
Southboro MA - 5 days onsite then move a 3 days onsite
Our client is seeking a Director of Enterprise Automation, AI & Analytics to lead enterprise-wide initiatives across AI, automation, business process management, and data & analytics. This is a senior leadership role responsible for defining strategy, building multi-year roadmaps, and leading teams focused on modernizing processes and delivering measurable business outcomes.
Key Responsibilities
- Lead Business Process Management, Automation Development, and Enterprise Data & Analytics teams through subordinate managers.
- Develop and execute enterprise strategies for AI, Generative AI, RPA, workflow automation, and data & analytics.
- Identify opportunities to automate and redesign business processes using AI, RPA, machine learning, and modern workflow technologies.
- Oversee enterprise data strategy, architecture, data warehousing, BI, reporting, analytics, and data governance.
- Establish an Automation/AI Center of Excellence and define standards, governance, and best practices.
- Partner with business leaders, IT, Security, Risk, Compliance, Audit, and vendors to deliver secure and scalable solutions.
- Define and track ROI and performance metrics across AI and automation initiatives.
- Maintain a prioritized portfolio of transformation initiatives based on business value, impact, risk, and strategic alignment.
Qualifications
- 10+ years delivering enterprise technology, automation, data, or digital transformation solutions.
- 5+ years of technical leadership experience, including managing managers and multidisciplinary teams.
- Proven experience building and executing enterprise AI, automation, or data strategies.
- Strong knowledge of Generative AI, RPA, machine learning, and AI governance/model risk.
- Experience with Microsoft 365, SharePoint Online, Copilot, Power Platform, Azure, SQL Server, Power BI, and .NET/C#.
- Experience with automation platforms such as UiPath and Nintex/K2.
- Knowledge of modern data platforms including Microsoft Fabric, Snowflake, or similar technologies.
- Banking or highly regulated financial industry experience strongly preferred.
- Strong understanding of regulatory, information security, vendor risk, and data governance requirements.
Education: Bachelor's degree required; Master's preferred. PMP, Lean Six Sigma, CDMP, CBPP, or related certifications are a plus.