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Intelligent Automation Senior Manager Jobs (NOW HIRING)

DocuSign

Sr. Intelligent Automation Engineer

San Francisco, CA · Hybrid

$122.40K - $160.60K/yr

With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... As a Senior Intelligent Automation Engineer, you will be a key contributor in scaling Docusign ...

Docusign

Sr. Intelligent Automation Engineer

San Francisco, CA · On-site

$122.40K - $160.60K/yr

With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... As a Senior Intelligent Automation Engineer, you will be a key contributor in scaling Docusign ...

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Intelligent Automation Senior Manager information

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How much do intelligent automation senior manager jobs pay per year?

As of Jun 1, 2026, the average yearly pay for intelligent automation senior manager in the United States is $116,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intelligent Automation Senior Manager, and why are they important?

To thrive as an Intelligent Automation Senior Manager, you need a strong background in process automation, project management, and business analysis, often supported by a degree in computer science, engineering, or a related field. Familiarity with RPA platforms (such as UiPath, Blue Prism, or Automation Anywhere), AI/ML tools, and relevant certifications like PMP or Lean Six Sigma is typically required. Exceptional leadership, strategic thinking, and stakeholder management skills help drive digital transformation and ensure team alignment. These skills and qualities are essential for delivering scalable automation solutions that optimize operations and meet organizational goals.

What are some common challenges Intelligent Automation Senior Managers face when implementing automation solutions across multiple departments?

Intelligent Automation Senior Managers often encounter challenges such as aligning automation initiatives with diverse departmental goals, managing change resistance among staff, and ensuring data security and compliance across automated processes. Coordinating with IT, operations, and business unit leaders is critical to identify automation opportunities and standardize best practices. Additionally, balancing the pace of technology adoption with existing workflows and upskilling team members are key aspects of successfully driving automation at scale.

What does an Intelligent Automation Senior Manager do?

An Intelligent Automation Senior Manager leads teams in designing and implementing automation solutions that leverage technologies like AI, machine learning, and robotic process automation (RPA) to optimize business processes. They work closely with stakeholders to identify automation opportunities, develop strategic roadmaps, and ensure successful deployment of automation initiatives. Their responsibilities also include managing budgets, overseeing project timelines, and ensuring compliance with organizational standards. This role requires a combination of leadership skills, technical expertise, and a strategic mindset to drive digital transformation within an organization.

What is the difference between Intelligent Automation Senior Manager vs Business Process Manager?

AspectIntelligent Automation Senior ManagerBusiness Process Manager
CredentialsTypically requires a bachelor’s degree in IT, Business, or related field; certifications in automation tools or project managementUsually holds a bachelor’s degree in Business, Management, or related field; certifications in process improvement or project management
Work EnvironmentLeads automation projects, collaborates with IT and business teams, focuses on technology implementationManages business processes, oversees process improvements, works with cross-functional teams
Industry UsageCommon in tech, finance, and manufacturing sectors implementing automation solutionsWidely used across industries for optimizing workflows and operational efficiency

The Intelligent Automation Senior Manager focuses on leading automation initiatives and integrating advanced technologies, while the Business Process Manager concentrates on optimizing and managing business workflows. Both roles require strong project management skills but differ in their technical and strategic focus.

Sr. Manager - AI Solutions Architecture & Intelligent Automation

Technumen

Charlotte, NC • On-site

Contractor

Posted 12 days ago

Job description

Role Title

Senior Manager – AI Solutions Architecture & Intelligent Automation

Remote may accept for right person

Role Summary & Job Description

The Senior Manager - AI Solutions Architecture will lead the design, delivery, and governance of enterprise AI and intelligent automation solutions across IT and business operations within a regulated Life Sciences environment. The role is responsible for driving automation-led transformation, ensuring GxP-compliant AI adoption, and delivering scalable, secure, and audit-ready solutions aligned with enterprise governance frameworks.

Key Responsibilities

  • Lead end-to-end AI and intelligent automation solution architecture, including GenAI, virtual agents, and workflow automation
  • Drive automation strategy and roadmap to reduce manual effort and improve operational efficiency
  • Design and implement AI-driven and rule-based automation across service operations (requests, incidents, knowledge management)
  • Enable event-driven and autonomous operations through orchestration and closed-loop remediation
  • Ensure all solutions are aligned with Life Sciences regulatory requirements including GxP, SOX, and data governance standards
  • Lead architecture design reviews and approvals through Architecture Review Board (ARB) and other governance forums
  • Drive pre-implementation assessments including GxP impact, security, and compliance validation
  • Architect secure, scalable, and compliant AI and automation platforms with built-in auditability and traceability
  • Collaborate with stakeholders to translate business requirements into automation-first, compliant solution designs
  • Lead cross-functional delivery teams across AI, automation, engineering, platform, and QA
  • Establish and enforce AI and automation governance frameworks including RBAC, audit controls, compliance, and risk management
  • Drive continuous improvement through measurable outcomes (automation %, MTTR reduction, productivity gains)

Core Functional Scope

  • GenAI solutions (LLMs, copilots, RAG-based systems)
  • Intelligent automation (workflow orchestration, runbooks, closed-loop remediation)
  • Agentic AI and autonomous workflows
  • ITSM automation (ServiceNow-based request and incident automation)
  • Observability-driven automation (AIOps, event correlation, auto-remediation)
  • Knowledge automation and training/assist AI platforms
  • Compliance-aligned AI solutions in regulated environments

Required Skills & Experience

  • 12–18+ years of experience with strong focus on AI, automation, and enterprise architecture
  • Proven experience in Life Sciences domain with exposure to regulated environments
  • Strong understanding of GxP compliance, validation processes, and regulated system requirements
  • Experience in governance processes including ARB, security reviews, and compliance approvals
  • Proven experience in designing and implementing enterprise automation solutions at scale
  • Strong expertise in intelligent automation tooling, orchestration platforms, and workflow engines
  • Experience with GenAI, LLM-based architectures, and AI-driven workflows
  • Deep knowledge of ITSM platforms (ServiceNow preferred) and enterprise integrations
  • Experience with event-driven architectures, APIs, and microservices-based systems
  • Hands-on experience with cloud platforms (Azure preferred) and containerization (Kubernetes, Docker)
  • Experience leading global cross-functional teams and large transformation programs

Leadership & Behavioral Expectations

  • Strong ability to drive automation-first mindset across operations and teams
  • Outcome-driven leadership with focus on efficiency, compliance, and scalability
  • Ability to translate AI and automation capabilities into business and regulatory value
  • Proactive ownership of governance, risk management, and compliance adherence
  • Strong stakeholder management across business, IT, compliance, and regulatory teams

Preferred Certifications

  • AI / GenAI architecture certifications
  • Cloud certifications (Azure preferred)
  • ITIL certification
  • Automation platform certifications