Director of Enterprise Automation, AI & Analytics

Alexander Technology Group

Westborough (MA)

On-site

USD 180,000 - 240,000

Full time

2 days ago
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Job summary

Alexander Technology Group seeks a Director of Enterprise Automation, AI & Analytics to drive enterprise-wide AI, automation, and data initiatives. You will define strategy, build multi-year roadmaps, and lead teams focused on modernizing processes to deliver measurable business outcomes.

The role requires strong governance, collaboration across IT and business lines, and a track record of delivering scalable AI solutions and data programs.

Qualifications

  • Bachelor's degree required; Master's preferred in a related field.
  • 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.

Responsibilities

  • Lead BPM, 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, ML, 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.

Skills

Technical leadership
Enterprise AI strategy
Automation & data strategy
Stakeholder collaboration
Regulatory & risk governance

Education

Bachelor's degree
Master's degree preferred

Tools

UiPath
Nintex/K2
Microsoft 365/SharePoint Online/Copilot/Power Platform/Azure/SQL Server/Power BI/.NET/C#
Snowflake/Microsoft Fabric

Job description

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.

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