AI Transformation & Operational Efficiency Manager

Jobgether; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Paid time off

Healthcare coverage

401(k) retirement savings plan

Disability protection

Life insurance

Employee Assistance Program

Bonuses and incentives

Referral rewards

Commuter benefits

Product discounts

Remote flexibility

Professional development

Job summary

Jobgether is seeking an experienced AI Transformation Lead to drive enterprise-wide AI adoption across Accounting, Finance, and operations from discovery through deployment. You will partner with C-suite stakeholders to build a measurable roadmap, develop business cases, and deliver ROI-driven automation across financial functions.

The role requires deep AI knowledge, strong project management, and experience coordinating vendor selections while ensuring regulatory compliance and data security.

Qualifications

• 7+ years in project management, business transformation, or AI implementation.
• Proven ability to lead cross-functional initiatives from planning to measurable results.
• Strong knowledge of generative AI, LLMs, and workflow automation in business settings.
• Experience mapping processes, identifying inefficiencies, and ROI measurement.
• Ability to select, manage, and oversee external vendors/partners with budgets and timelines.
• Knowledge of Accounting and Finance workflows, reporting, and controls.

Responsibilities

• Collaborate with leaders across departments to assess processes and identify AI automation opportunities.
• Evaluate initiatives based on business impact, complexity, cost savings, and ROI.
• Develop business cases and prioritize AI initiatives.
• Lead AI transformation roadmap and translate opportunities into project plans.
• Oversee AI implementation from discovery to deployment and adoption.
• Coordinate cross-functional stakeholders to keep initiatives on schedule and deliver outcomes.
• Drive automation in accounts payable/receivable, reconciliations, reporting, and budgeting.
• Define requirements with accounting/finance SMEs and ensure compliant solutions.

Skills

Generative AI

LLMs

Workflow automation

Stakeholder management

Project management

Cross-functional collaboration

Vendor management

Accounting/Finance ops

Education

Bachelor's degree or equivalent

Tools

ERP systems

BI tools

OpenAI

Microsoft Copilot

Power Automate

UiPath

Job description

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 environments.

- Demonstrated experience mapping business processes, identifying inefficiencies, developing implementation strategies, and measuring return on investment.

- Proven ability to select, manage, and oversee external vendors, consultants, and implementation partners, including responsibility for budgets, timelines, scopes of work, and deliverables.

- Working knowledge of Accounting and Finance operations, including financial workflows, reporting processes, internal controls, and financial systems.

- Strong project management and organizational skills, with the ability to manage multiple initiatives simultaneously across different departments.

- Excellent communication and stakeholder management abilities, including the capacity to translate complex business challenges into clear requirements and actionable implementation plans.

- Practical, results-oriented mindset, with a strong focus on execution, continuous improvement, and measurable operational impact.

- Ability to work independently while building effective relationships with senior leaders, technical teams, and external partners.

- Bachelor's degree in a relevant discipline or equivalent practical professional experience.

Nice-to-have qualifications:

- Previous experience implementing AI and automation solutions across multiple business functions.

- Familiarity with AI and automation platforms such as OpenAI, Microsoft Copilot, Power Automate, UiPath, cloud-based AI services, and enterprise data platforms.

- Experience with ERP systems, financial automation solutions, and business intelligence or reporting tools.

- Background in management consulting, enterprise technology implementation, or large-scale operational transformation initiatives.

- MBA, advanced technical degree, or relevant project management certifications.

Benefits:

- Paid time off: Paid vacation and personal time, including 8 paid holidays annually.

- Healthcare coverage: Medical, dental, and vision insurance for eligible full-time employees.

- Retirement savings: Access to a 401(k) retirement savings plan.

- Disability protection: Company-paid short-term and long-term disability insurance for eligible full-time employees.

- Life insurance: Company-paid life insurance coverage for eligible full-time employees.

- Employee support: Access to an Employee Assistance Program (EAP).

- Additional incentives: Opportunities for additional compensation through bonuses, tips, and other incentives, where applicable.

- Referral rewards: Employee referral program.

- Commuter support: Commuter benefits for eligible employees.

- Product discounts: Access to employee discounts on products.

- Remote flexibility: Remote working opportunity within the United States.

- Professional development: Opportunity to lead innovative AI initiatives, influence enterprise-wide transformation, and develop expertise in emerging technologies.