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AI Transformation & Operational Efficiency Manager

Job in Gresham, Multnomah County, Oregon, 97030, USA
Listing for: Jobgether
Full Time position Listed on 2026-11-12
Job specializations:
Salary/Wage Range or Industry Benchmark: 130000 - 210000 USD Yearly USD 130000.00 210000.00 YEAR

Job Description & How to Apply Below

AI Transformation & Operational Efficiency Manager

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an AI Transformation & Operational Efficiency Manager based in the United States. As an AI Transformation & Operational Efficiency Manager, you will lead the identification, development, and implementation of AI-driven solutions to improve business processes across multiple organizational functions.

You will play a key role in advancing an enterprise-wide AI strategy, initially focusing on Accounting and Finance before expanding into other departments. Working closely with business leaders, you will assess existing workflows, identify automation opportunities, and translate operational challenges into actionable technology initiatives. You will oversee projects from initial discovery and business case development through vendor selection, implementation, and adoption.

This is a hands-on, business-oriented leadership role combining project management, operational transformation, and AI innovation. Your work will directly contribute to improved productivity, reduced operating costs, greater accuracy, and measurable business performance.

Accountabilities
  • Collaborate with department leaders across Accounting, Finance, HR, Legal, IT, Sales, Marketing, and Operations to assess existing processes and identify opportunities for AI adoption and workflow automation.
  • Evaluate potential initiatives based on business impact, implementation complexity, expected cost savings, efficiency improvements, and return on investment.
  • Develop business cases and prioritize AI initiatives according to organizational needs, strategic objectives, and expected results.
  • Build and manage an enterprise-wide AI transformation roadmap aligned with the organization's Default-to-AI strategy.
  • Translate identified opportunities into structured project plans with clearly defined objectives, scope, budgets, timelines, milestones, and performance indicators.
  • Lead AI implementation projects from initial discovery and solution evaluation through deployment, employee adoption, and continuous improvement.
  • Coordinate cross-functional stakeholders, manage competing priorities, and ensure initiatives remain on schedule and deliver measurable business outcomes.
  • Drive Accounting and Finance transformation by identifying opportunities to automate accounts payable and receivable, financial reconciliations, reporting, expense management, budgeting, and forecasting.
  • Work with Accounting and Finance subject-matter experts to define requirements and ensure implemented solutions meet operational needs, maintain accuracy, and comply with appropriate financial controls.
  • Identify and deploy solutions that reduce manual processes, improve reporting capabilities, and increase operational efficiency across financial functions.
  • Evaluate AI technologies, software providers, external consultants, and implementation partners to identify the most appropriate solutions for business requirements.
  • Lead vendor selection processes, negotiate scopes of work, oversee budgets and implementation timelines, and ensure external partners meet agreed deliverables.
  • Coordinate technology integrations with existing business systems in collaboration with IT teams and internal stakeholders, engaging specialized technical expertise when necessary.
  • Establish practical guidelines for responsible AI adoption, including data security, confidentiality, human oversight, and regulatory compliance, in partnership with IT, Legal, and Compliance teams.
  • Drive employee adoption through training, change management, communication, and business process redesign.
  • Monitor and report on implementation performance using measurable indicators such as productivity gains, cost reductions, accuracy improvements, operational efficiency, and ROI.
  • Continuously identify new opportunities to scale successful AI solutions and improve processes across additional business units.
Requirements
  • At least 7 years of professional experience in project management, business transformation, enterprise technology, AI implementation, operational improvement, or related consulting fields.
  • Proven ability to lead complex, cross-functional initiatives from initial assessment and strategic planning through implementation and measurable business results.
  • Strong working knowledge of generative AI, large language models (LLMs), workflow automation, and practical applications of AI in business…
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